ProgrammableMarketing/yipitdata.com (opens in a new tab)
PDF

Views

  • Plan
  • Roadmap
  • Research

On this page

  • The brief
  • Start here
  • Idea portfolio
  • Effort vs impact
  • This week · 6
  • This quarter · 9
  • Big bets · 3
  • Wildcards · 3
  • How we can help
Generated Oct 18, 2026
  1. Programmable
  2. Playbooks
  3. YipitData
YipitData logo

growth playbook · Oct 18, 2026

yipitdata.com (opens in a new tab)

YipitData growth playbook

Diagnosis

YipitData is hiring to change how it grows. Besides sales roles, it is adding a Growth Product Manager to make "organic inbounds" the main source of customers for its AI agent through SEO, AEO and trials, a product marketer for AI products, and a web lead to take its Webflow site in-house.

It is also expanding into quant funds and private company data, and building SpendHound's partner and enterprise sales. The raw material is strong (650+ customers, Walmart and Ulta, an agent with stated accuracy, an MCP), but the public site does not yet let anyone try anything: the agent ends in "Subscribe", the product name in the job post finds nothing, coverage numbers differ by page, and the newest customer story has template text in it.

This playbook starts with public answer pages and a real trial path, then builds the feed, partnership and SpendHound engines.

Growth Score

7/10

Biggest Opportunity

Make the agent findable and tryable: public answers to the questions buyers already ask, one named product page with a trial, and a first session pre-filled with the question that converts.

Biggest Risk

Opening up free answers and self-serve plans could give away what enterprise clients pay for, and SpendHound's enterprise deals could stall on how a free product uses its customers' spend data.

01

Start here

The three moves to make first. Each one is written up in full below.

  1. 1

    Publish the agent's answers: 30 public sample questions, each ending in "ask this about your category"

    List 50 questions from sales calls and webcast Q&A, and pick the 30 the data answers best without exposing paid detail.

    High impact First result in 1 month
  2. 2

    One name, one page, one trial button for the agent

    Write down every name the agent goes by today (site, portal, decks, job posts) and pick one.

    High impact First result in 2 weeks
  3. 3

    Make the coverage numbers agree: one source-of-truth numbers block on every page

    List every number on the site with its page and the team that owns it.

    Medium impact First result in 2 weeks

02

Your idea portfolio

21 ideas, grouped by when to run them. Open any idea for how to run it: the steps, who to approach, copy you can use, and how to measure it.

  • 7 ideas are marked Unexpected: plays you are unlikely to have tried.

Every idea placed by the effort it takes against the impact it could have. Quick wins sit top left; select a number to open that idea. The filters below narrow the list by status, timing, category and what Programmable can build.

Effort vs impactEach number is an idea. Select one to open it.
Impact →
Quick wins · 3Big bets · 12Fill-ins · 5Reconsider · 1
Effort →

Showing 21 of 21 ideas

This week 6

Quick wins with a clear first action.

  • 01

    The Growth PM is asked to make organic inbound the main source of new customers, but the agent is invisible to search and AI assistants: its page ends in "Subscribe", shows three example questions without answers, and the app is noindex. The best marketing YipitData has is an answer to a question someone is already asking.

    High impactMedium effort First result in 1 month Growth Product Manager

    First action

    List 50 questions from sales calls and webcast Q&A, and pick the 30 the data answers best without exposing paid detail.

    How to measure it

    Trial starts from answer pages

    Now
    –
    Target
    40 a month
    By
    90 days

    Steps

    1. 1

      Collect questions

      Pull questions from demo notes, webcast Q&A and the agent's own logs; group by category.

      Growth Product Manager 2 days

    2. 2

      Choose what is public

      For each question decide the free level of detail (quarterly, national, rounded) so the paid product stays paid.

      Senior Product Marketing Manager 1 day

    3. 3

      Run and check

      Run each question through the agent; an analyst checks the answer as they would a client deliverable.

      Client Strategy Manager, Corporate 3 days

    4. 4

      Build the template

      A Webflow CMS template: question, answer, chart, methodology box, date, related questions, trial button.

      Lead Web Designer & Developer 2 days

    5. 5

      Mark it up

      Add Q&A structured data, a clear date and author, and link each page from its /industries page.

      Lead Web Designer & Developer 1 day

    6. 6

      Publish 30

      Ten a week, starting with beauty, home improvement and AI & tech.

      Growth Product Manager 3 weeks

    7. 7

      Route trials

      Every trial from an answer page goes to Marketo with the question as the source, and to the right sales team.

      Growth Product Manager 1 day

    8. 8

      Measure monthly

      Impressions, AI-assistant referrals, trial starts and trial-to-paid by page; refresh the top ten each quarter.

      Growth Product Manager 2 hours a month

    First result
    1 month
    Cost
    Analyst time and Webflow work
    Owner
    Growth Product Manager

    Smallest test

    Publish five answer pages in one category with a trial button and count trial starts after 30 days.

    Why it works

    Pick 30 questions buyers actually type ("beauty market share at US retailers", "are shoppers trading down in grills", "how much of a competitor's sales are promotions"), run each through the agent, and publish the answer as a page: the question, a two-line answer, one chart, the methodology and panel-size box the agent already produces, and the date. Older or coarser data is fine; the point is to show the shape of an answer. Each page ends with "Ask this about your category" into a trial.

    Search engines and AI assistants cite pages that answer a question directly with a date and a method. The agent already writes the method into every answer, so the page is mostly assembly, and each one is a trial entry point the Growth PM can measure.

    Ready to use

    CopyAnswer page template

    Title: [Question in the buyer's words]
    Short answer (2 lines): [what the data shows, with the period]
    Chart: [one chart, labelled with source and panel size]
    How we know: [panel, sources, sample size, method, as the agent states them]
    What this does not show: [limits]
    Ask this about your category -> [trial button]
    Related questions: [3 links]
    Updated: [date] - Reviewed by: [analyst name]

    Risks and how to handle them

    • Free answers replace paid ones

      Publish at a coarser level (quarterly, national) than clients get, and never item-level or ticker-level forecasts.

    • Answers age

      Show the date and refresh the top pages each quarter; retire the rest.

    • An investor answer looks like research distribution

      Keep investor-sensitive tickers off the public set; start with corporate category questions.

    Evidence

    • HiringGrowth Product Manager (posted September 2026): "build a product-led growth motion for YipitAgent, our company's latest flagship product", owning the journey "from first impression through paid conversion": SEO/AEO "leveraging our proprietary data", trial UX, in-product engagement, lifecycle communications and pricing/packaging. Success: "Organic inbounds become our primary channel for new customer acquisition", more trial starts, deeper trial engagement, more trial-to-paid conversion and more active users per account.Source
    • Your websiteThe Insight Agent page ("an AI-powered analyst built directly into the YipitData platform") cites "about 99 percent accuracy on market share analyses" and "fewer than 1 percent of analyses requiring human escalation"; its call to action is "Subscribe", with no trial, sample answer or pricing. No page on yipitdata.com uses the name YipitAgent from the Growth PM post; agent.yipitdata.com is an app shell marked noindex.Source
    • Your websiteSitemap: 571 URLs, 418 of them /resources posts and webcasts, 33 /industries pages, 19 event pages (KBIS, Toy Fair, Global Pet Expo, CEW, HIRI) and five white papers. programmable.info: Webflow, Marketo, Microsoft Clarity, no newsletter sign-up found, security headers grade F and Mozilla Observatory C-; LCP 1.3s.Source
    • HiringLead Web Designer & Developer: owns YipitData's public websites in Webflow (CMS architecture, templates, components, custom code), works with Demand Generation on "SEO and AEO, conversion optimization, experimentation, analytics, lead flows", lets teams publish "without relying on engineering", and should "reduce our long-term reliance on external agencies".Source
  • 02

    The Growth PM post calls the flagship "YipitAgent"; the website calls it the Insight Agent, the MCP page sells "Research & Metrics MCP", and the agent app is noindex. A prospect who hears "YipitAgent" from a colleague finds nothing under that name.

    High impactLow effort First result in 2 weeks Growth Product Manager

    First action

    Write down every name the agent goes by today (site, portal, decks, job posts) and pick one.

    How to measure it

    Product page trial starts

    Now
    –
    Target
    25 a month
    By
    60 days

    Steps

    1. 1

      Inventory names

      Site, portal, decks, webcasts, job posts and sales emails.

      Senior Product Marketing Manager 2 hours

    2. 2

      Decide

      One public name, one line on what it does, one line on who it is for.

      Senior Product Marketing Manager 1 day

    3. 3

      Build the page

      Product page with the trial button, the accuracy numbers and three sample answers.

      Lead Web Designer & Developer 2 days

    4. 4

      Redirect

      Old names and URLs point to the one page.

      Lead Web Designer & Developer 1 hour

    5. 5

      Update everywhere

      Portal, MCP page, decks and email signatures.

      Senior Product Marketing Manager 2 days

    6. 6

      Track

      Trial starts by source on the new page.

      Growth Product Manager 1 hour

    First result
    2 weeks
    Cost
    $0
    Owner
    Growth Product Manager

    Smallest test

    Swap "Subscribe" for "Start a trial" on the current page for two weeks and count clicks.

    Why it works

    Choose the public name, make one product page for it in the sitemap with a "Start a trial" button above the fold (not "Subscribe"), redirect the other names to it, and use the same name in the portal, webcasts and sales decks.

    A product-led motion needs a front door. Every other growth idea here sends traffic somewhere; this decides where.

    Risks and how to handle them

    • Two businesses want different names

      One brand name with a qualifier for each segment ("for investors", "for brands") rather than two products.

    Evidence

    • HiringGrowth Product Manager (posted September 2026): "build a product-led growth motion for YipitAgent, our company's latest flagship product", owning the journey "from first impression through paid conversion": SEO/AEO "leveraging our proprietary data", trial UX, in-product engagement, lifecycle communications and pricing/packaging. Success: "Organic inbounds become our primary channel for new customer acquisition", more trial starts, deeper trial engagement, more trial-to-paid conversion and more active users per account.Source
    • Your websiteThe Insight Agent page ("an AI-powered analyst built directly into the YipitData platform") cites "about 99 percent accuracy on market share analyses" and "fewer than 1 percent of analyses requiring human escalation"; its call to action is "Subscribe", with no trial, sample answer or pricing. No page on yipitdata.com uses the name YipitAgent from the Growth PM post; agent.yipitdata.com is an app shell marked noindex.Source
    • Your websiteThe Research & Metrics MCP page: search YipitData reports by company, ticker or theme, fetch report content "in Markdown format", query Key Metrics time series, screen for "QTD Y/Y growth" and inflections, with "Entitlement-Based Access" so users only see what their account includes.Source
  • 03

    Different pages say 2,000 companies, 2,600+ public companies, 250K+ private companies, 500,000 companies and 500,000+ retailers. Each may be right for its product, but side by side they read as inconsistent to the data buyers who check numbers for a living.

    Medium impactLow effort First result in 2 weeks Senior Product Marketing Mana…

    First action

    List every number on the site with its page and the team that owns it.

    How to measure it

    Pages using the block

    Now
    –
    Target
    all top 20 pages
    By
    30 days

    Steps

    1. 1

      List numbers

      Every coverage number on the site and in meta descriptions.

      Senior Product Marketing Manager 2 hours

    2. 2

      Define each

      What is counted and as of when, signed off by the data owner.

      Senior Product Marketing Manager 1 day

    3. 3

      Build the block

      A reusable Webflow component.

      Lead Web Designer & Developer 1 day

    4. 4

      Replace

      Homepage, About, Public, Private, Corporations and their descriptions.

      Lead Web Designer & Developer 1 day

    5. 5

      Date it

      Show "as of" on the block and review quarterly.

      Senior Product Marketing Manager 15 minutes

    6. 6

      Brief sales

      Same numbers in decks and RFP answers.

      Senior Product Marketing Manager 1 hour

    First result
    2 weeks
    Cost
    $0
    Owner
    Senior Product Marketing Manager

    Smallest test

    Fix the homepage meta description and About page first.

    Why it works

    Write one numbers block (customers, public companies, private companies, brands, retailers, consumers, B2B spend tracked, sources, as-of date) with a one-line definition each, and use it on the homepage, About, segment pages and meta descriptions.

    Buyers of data judge the vendor on precision. Consistent, dated, defined numbers are also what AI assistants quote.

    Risks and how to handle them

    • Teams prefer their biggest number

      Keep each segment's number but always with its definition.

    Evidence

    • Your websiteCoverage numbers differ by page: the homepage meta description says "Daily intelligence on 12M+ consumers and 2,000 companies"; the Public Investors description says "2,600+ public companies"; the private investor page says "250K+ private companies"; the About page says "over 500,000 companies covered and $1.8 trillion in B2B spend tracked"; the Corporations description says "500,000+ retailers" and "12M+ real shoppers". The homepage and About both say 650+ customers.Source
    • HiringSenior Product Marketing Manager, Public Investor: owns positioning and go-to-market across data feeds, the Investor Portal and "AI-powered agents and MCPs"; defines customer profiles and messaging by investor segment ("hedge funds vs. long-onlys"); leads competitive intelligence "across both traditional data providers and emerging AI platforms"; works on pricing and packaging; a "foundational role" building core PMM capabilities.Source
  • 04

    The newest and biggest customer story, Walmart, went live on October 14 with a Webflow placeholder ("Type image caption here") in the page, and there are only four stories in total, while the press page names Ulta Beauty and the board release cites Fortune 100 customers.

    Medium impactLow effort First result in 2 weeks Lead Web Designer & Developer

    First action

    Delete the placeholder caption today and check the other three stories for template text.

    How to measure it

    Demos from story pages

    Now
    –
    Target
    10 a month
    By
    90 days

    Steps

    1. 1

      Fix the placeholder

      Remove the caption and check all CMS items for template text.

      Lead Web Designer & Developer 1 hour

    2. 2

      Set the template

      Who, question, data, decision, result, quote.

      Lead Web Designer & Developer 1 day

    3. 3

      Rework the four

      Fit each story to the template.

      Senior Product Marketing Manager 2 days

    4. 4

      Add Ulta

      Draft from the press release and ask for one result.

      Senior Product Marketing Manager 1 week

    5. 5

      Add a filter

      By segment and category.

      Lead Web Designer & Developer 1 day

    6. 6

      Use in sales

      Link stories from the matching /industries pages and decks.

      Client Strategy Manager, Corporate 2 hours

    First result
    2 weeks
    Cost
    $0
    Owner
    Lead Web Designer & Developer

    Smallest test

    Fix Walmart and add a "stories like this" link on the beauty page.

    Why it works

    Remove the placeholder, then give every story the same structure (who, question, data used, decision made, result, quote) and add a filter by segment (investors, brands, retailers, tech). Turn the Ulta partnership into the fifth story.

    Corporate buyers and investors both ask "who like me uses this?"; four stories with one visible error undercut the 650+ customer claim.

    Risks and how to handle them

    • Customers limit what can be said

      Use decision and process outcomes where numbers are confidential.

    Evidence

    • Your websiteThe Walmart customer story (published October 14, 2026) shows Webflow placeholder text in the page: "Type image caption here (optiona". The site lists four customer stories (Fiskars, Mayzon, Walmart, Worthington). The Package Definitions page describes "product offerings as of January 2025".Source
    • Press releasesApril 13, 2026: ZoomInfo founder and CEO Henry Schuck joined YipitData's board ("Over 650 customers, including many of the world's largest institutional investors and Fortune 100 companies"). May 12, 2026: Ulta Beauty uses YipitData for merchandising and assortment; Ulta's SVP says the data helps "support our brand partners".Source
    • HiringLead Web Designer & Developer: owns YipitData's public websites in Webflow (CMS architecture, templates, components, custom code), works with Demand Generation on "SEO and AEO, conversion optimization, experimentation, analytics, lead flows", lets teams publish "without relying on engineering", and should "reduce our long-term reliance on external agencies".Source
  • 05

    SpendHound is free and sees what companies really pay for software; its parent sells B2B spend data to investors. The site never mentions YipitData. Procurement and security teams at companies with $100M+ in software spend, the SDR's targets, will ask how a free product makes money and where their data goes.

    High impactLow effort First result in 1 month SpendHound Head of Sales

    First action

    Ask legal for the current data-use terms and list the questions security reviewers have already asked.

    How to measure it

    Security review pass rate

    Now
    –
    Target
    80% of enterprise opportunities
    By
    2 quarters

    Steps

    1. 1

      Collect questions

      Every data question from past security reviews and lost deals.

      SpendHound Head of Sales 1 day

    2. 2

      Draft answers

      Ownership, collection, sharing, aggregation, opt-out, retention.

      SpendHound Head of Sales 2 days

    3. 3

      Legal review

      Match the page to the actual terms and practices.

      CEO 1 week

    4. 4

      Publish

      Footer, security page and pricing page links.

      Lead Web Designer & Developer 2 hours

    5. 5

      Arm the SDRs

      A two-line answer and the link in every enterprise sequence.

      SpendHound Head of Sales 1 hour

    6. 6

      Track

      Security review outcomes by deal.

      SpendHound Head of Sales monthly

    First result
    1 month
    Cost
    Legal review
    Owner
    SpendHound Head of Sales

    Smallest test

    Send the draft to two enterprise prospects in security review and see whether it shortens the review.

    Why it works

    Publish a one-page "How SpendHound uses your data" answer: who owns SpendHound, what is collected, what is never shared, how anything that is used is aggregated and de-identified, and how to opt out, written with legal and linked from the footer, the security page and every enterprise sequence.

    Enterprise deals stall in security review on exactly this question. Answering it first, plainly, turns a hidden worry into a reason to trust the free product.

    Risks and how to handle them

    • Naming the parent raises the question

      Raising it first with a clear answer is better than a prospect discovering it in diligence.

    • The page must match practice exactly

      Legal signs off and the page is reviewed whenever data use changes.

    Evidence

    • HiringSpendHound hires: a Finance Partnerships Manager for "an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20", owning partner-sourced customer targets; an SDR 2 - Enterprise to break into "SpendHound's largest prospect accounts with more than $100m in Software spend", reaching procurement leaders about "software and AI renewals"; and a Sales Associate - SMB on "a new start-up team, but with the resources of a larger company", working inbound and outbound.Source
    • SpendHound websitespendhound.com: "100% free" SaaS, cloud and AI spend tracking with "real pricing benchmarks across 10,000+ vendors", "Trusted by 1,500+" finance, ops and procurement teams, a new AI Spend Visibility module, 466 /marketplace vendor pricing pages and five comparison pages (Productiv, Spendflo, Tropic, Vendr, Vertice). The partner page offers referral incentives to outsourced finance firms, investment firms and technology partners. The site never names YipitData.Source
    • HiringHead of Data, Private Investor: makes "our private-company insights the most trusted in the market" for AI and software companies; builds "truth data benchmark sets and a QA framework" across "thousands, later across hundreds of thousands, and eventually across millions of companies". The private AI & Software page sells the Signals platform on B2B spend data across "250K+ private companies" and says rivals "estimate B2B spend by extrapolating from consumer panels".Source
  • 06

    The Finance Partnerships Manager starts with about five outsourced finance firms and owns partner-sourced customer targets. Partners need something to bring to clients, and SpendHound already has the hook: 46% of leaders went over budget on AI and 57% are not sure they pay a fair price.

    High impactLow effort First result in 1 month SpendHound Finance Partnershi…

    First action

    Build the one-page summary for one existing customer and show it to two partners.

    How to measure it

    Partner-sourced customers

    Now
    –
    Target
    15 a month
    By
    90 days

    Steps

    1. 1

      Design the summary

      AI spend by provider, renewals in 90 days, three benchmark gaps.

      SpendHound Finance Partnerships Manager 2 days

    2. 2

      Co-brand it

      Partner logo and SpendHound, with a short script for the client meeting.

      SpendHound Finance Partnerships Manager 1 day

    3. 3

      Pilot with two partners

      Five clients each.

      SpendHound Finance Partnerships Manager 2 weeks

    4. 4

      Set the referral terms

      Referral incentive per active customer, as the partner page offers.

      SpendHound Finance Partnerships Manager 1 day

    5. 5

      Roll out

      All current partners, then recruit the next ten with the pilot results.

      SpendHound Finance Partnerships Manager 1 month

    6. 6

      Report to partners

      Monthly: clients onboarded, savings found.

      SpendHound Finance Partnerships Manager 1 hour a month

    First result
    1 month
    Cost
    Partner incentives
    Owner
    SpendHound Finance Partnerships Manager

    Smallest test

    Run the checkup for three clients of one partner.

    Why it works

    Package a co-branded checkup: the partner connects a client's AI and SaaS spend to SpendHound for free, gets a one-page summary (AI spend by provider, renewals in 90 days, three benchmark gaps) to present at the next monthly close meeting, and the client keeps SpendHound.

    Fractional CFOs and outsourced finance firms meet clients monthly and want to look proactive. A ready-made deliverable gives them a reason to introduce SpendHound in every client meeting.

    Risks and how to handle them

    • Partners refer once and stop

      A monthly report of their clients' savings keeps them engaged.

    Evidence

    • HiringSpendHound hires: a Finance Partnerships Manager for "an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20", owning partner-sourced customer targets; an SDR 2 - Enterprise to break into "SpendHound's largest prospect accounts with more than $100m in Software spend", reaching procurement leaders about "software and AI renewals"; and a Sales Associate - SMB on "a new start-up team, but with the resources of a larger company", working inbound and outbound.Source
    • SpendHound websiteSpendHound AI Spend webinar recap (August 2026): of 172 finance and procurement leaders surveyed, "46% went over budget on general purpose AI last year" and "57% either don't believe they're paying a fair price for AI or don't know"; 81% expect AI budgets to rise again; coming next: cost attribution tags, anomaly alerts, Claude Code analytics and integrations for Cursor, GitHub Copilot and Gemini.Source
    • SpendHound websitespendhound.com: "100% free" SaaS, cloud and AI spend tracking with "real pricing benchmarks across 10,000+ vendors", "Trusted by 1,500+" finance, ops and procurement teams, a new AI Spend Visibility module, 466 /marketplace vendor pricing pages and five comparison pages (Productiv, Spendflo, Tropic, Vendr, Vertice). The partner page offers referral incentives to outsourced finance firms, investment firms and technology partners. The site never names YipitData.Source

This quarter 9

The core plays for the next three months.

  • 07

    The Head of Data Feeds is asked to make feeds easy to "discover, evaluate, trust, integrate", and the quant seller is opening a new segment. Quant teams decide in the trial: they want history, documentation and a quick way to test whether a signal holds.

    High impactMedium effort First result in 1 quarter Head of Data Feeds

    First action

    Ask three current quant clients what slowed their evaluation.

    How to measure it

    Feed trial-to-paid

    Now
    –
    Target
    +30% relative
    By
    2 quarters

    Steps

    1. 1

      Interview clients

      What slowed their evaluation and what convinced them.

      Head of Data Feeds 1 week

    2. 2

      Pick two feeds

      The most requested by quant prospects.

      Head of Data Feeds 1 day

    3. 3

      Build the kits

      Sample, dictionary, coverage notes, notebook.

      Head of Data Feeds 1 month

    4. 4

      Simplify the trial contract

      A short standard trial agreement.

      CEO 2 weeks

    5. 5

      Hand to sales

      The quant seller uses the kit in every first meeting.

      Head of Data Feeds 1 day

    6. 6

      Measure

      Days to decision and trial-to-paid by feed.

      Head of Data Feeds monthly

    First result
    1 quarter
    Cost
    Data team time
    Owner
    Head of Data Feeds

    Smallest test

    Build the kit for one feed and offer it to the next three quant prospects.

    Why it works

    For each feed, build a standard kit: a point-in-time sample with enough history, a data dictionary, coverage and panel-change notes, a notebook that reproduces one known signal, and a trial agreement that can be signed in a day. Track trial-to-paid by feed.

    Systematic buyers reject data they cannot test quickly. A ready kit shortens trials and makes the quant seller's pipeline predictable.

    Risks and how to handle them

    • Samples leak value

      Point-in-time history only, with a watermark and trial terms.

    Evidence

    • HiringInvestor-side hires: a Head of Data Feeds to turn quant products, consumer transaction and receipt data and other feeds into "a major, repeatable growth engine" (owning ARR, packaging, pricing, trials and onboarding for "systematic-data buyers"); a Senior Business Development Executive for quant sales ("With over 500+ fundamental investor clients, we are now expanding our footprint into the quantitative investment space"); and an Account Development Manager II for "a new and fast growing segment" of hedge fund clients, owning renewals and upsells.Source
    • Competitor researchRivals on the investor side sell transaction-panel data: Consumer Edge ("global consumer transaction data"), Bloomberg Second Measure ("transaction data analytics") and M Science ("AI-Ready Market Intelligence"). SpendHound's rivals include Vendr ("free Price Checks" on software quotes) and Vertice ("agentic workflows" and expert buyers).Source
  • 08

    Investors increasingly work inside AI tools, and the MCP brings YipitData reports and Key Metrics there with entitlement checks. That usage is a better sign of value than portal logins, and the new Account Development Manager owns renewals and upsells for a fast-growing hedge fund segment.

    High impactMedium effort First result in 1 quarter Client Strategy Manager

    First action

    Pull last quarter's MCP and portal usage for ten accounts that renewed and ten that churned.

    How to measure it

    Hedge fund retention

    Now
    –
    Target
    +3 points
    By
    4 quarters

    Steps

    1. 1

      Define usage events

      MCP queries, agent questions, portal sessions, feed pulls.

      Growth Product Manager 1 week

    2. 2

      Join to accounts

      One table per account and month.

      Growth Product Manager 2 weeks

    3. 3

      Score health

      Weighted score validated on past renewals and churn.

      Client Strategy Manager, Corporate 1 week

    4. 4

      Set alerts

      Drops and spikes go to the account manager.

      Client Strategy Manager, Corporate 2 days

    5. 5

      Upsell prompts

      Queries hitting data the account is not entitled to.

      Client Strategy Manager, Corporate 1 week

    6. 6

      Review monthly

      Health score against renewal outcomes.

      Client Strategy Manager, Corporate monthly

    First result
    1 quarter
    Cost
    Analytics time
    Owner
    Client Strategy Manager, Corporate

    Smallest test

    Score twenty accounts by hand and compare with last year's renewals.

    Why it works

    Track per account: MCP queries, agent questions, portal use and feed downloads. Build a simple account health score, alert the account manager when usage drops, and use popular queries on unentitled data as upsell prompts.

    Renewals are decided months before the date; a usage signal lets the team act while there is still time, and queries for data an account does not own are a ready-made upsell list.

    Risks and how to handle them

    • Clients dislike being watched

      Use aggregate usage only and say so in the terms.

    Evidence

    • Your websiteThe Research & Metrics MCP page: search YipitData reports by company, ticker or theme, fetch report content "in Markdown format", query Key Metrics time series, screen for "QTD Y/Y growth" and inflections, with "Entitlement-Based Access" so users only see what their account includes.Source
    • HiringInvestor-side hires: a Head of Data Feeds to turn quant products, consumer transaction and receipt data and other feeds into "a major, repeatable growth engine" (owning ARR, packaging, pricing, trials and onboarding for "systematic-data buyers"); a Senior Business Development Executive for quant sales ("With over 500+ fundamental investor clients, we are now expanding our footprint into the quantitative investment space"); and an Account Development Manager II for "a new and fast growing segment" of hedge fund clients, owning renewals and upsells.Source
    • HiringSenior Product Marketing Manager, Public Investor: owns positioning and go-to-market across data feeds, the Investor Portal and "AI-powered agents and MCPs"; defines customer profiles and messaging by investor segment ("hedge funds vs. long-onlys"); leads competitive intelligence "across both traditional data providers and emerging AI platforms"; works on pricing and packaging; a "foundational role" building core PMM capabilities.Source
  • 09

    The site has 33 /industries pages and 418 resource posts, built with agencies; the new web lead is asked to let teams publish without engineering and support SEO and AEO. Industry pages are where category searches land, but they carry no data.

    High impactMedium effort First result in 1 quarter Lead Web Designer & Developer

    First action

    Choose the five industry pages with the most search impressions and the chart each will carry.

    How to measure it

    Organic sessions to industry pages

    Now
    –
    Target
    +50%
    By
    2 quarters

    Steps

    1. 1

      Rank pages

      Search impressions and demo requests by industry page.

      Lead Web Designer & Developer 1 day

    2. 2

      Design the template

      Tracked data, chart, posts, answers, story, call to action.

      Lead Web Designer & Developer 1 week

    3. 3

      Set up the chart feed

      A monthly CSV export the CMS can read.

      Head of Data Feeds 1 week

    4. 4

      Build five

      Top five industries first.

      Lead Web Designer & Developer 2 weeks

    5. 5

      Roll out

      The remaining 28 at five a week.

      Lead Web Designer & Developer 6 weeks

    6. 6

      Measure

      Sessions, demo requests and trial starts by page.

      Growth Product Manager monthly

    First result
    1 quarter
    Cost
    Web lead time
    Owner
    Lead Web Designer & Developer

    Smallest test

    Add one monthly chart to the beauty page and compare engagement for a month.

    Why it works

    One Webflow template per industry: what YipitData tracks, one chart updated monthly (for example category growth or channel share at a coarse level), the latest three posts, the answer pages from idea 1, a customer story and the trial or demo button.

    A page with a dated, real number is more useful and more citable than a page of claims, and a template means the team can add a category in a day.

    Risks and how to handle them

    • Charts give away paid data

      Coarse, lagged metrics only, agreed with each sector lead.

    Evidence

    • HiringLead Web Designer & Developer: owns YipitData's public websites in Webflow (CMS architecture, templates, components, custom code), works with Demand Generation on "SEO and AEO, conversion optimization, experimentation, analytics, lead flows", lets teams publish "without relying on engineering", and should "reduce our long-term reliance on external agencies".Source
    • Your websiteSitemap: 571 URLs, 418 of them /resources posts and webcasts, 33 /industries pages, 19 event pages (KBIS, Toy Fair, Global Pet Expo, CEW, HIRI) and five white papers. programmable.info: Webflow, Marketo, Microsoft Clarity, no newsletter sign-up found, security headers grade F and Mozilla Observatory C-; LCP 1.3s.Source
    • HiringGrowth Product Manager (posted September 2026): "build a product-led growth motion for YipitAgent, our company's latest flagship product", owning the journey "from first impression through paid conversion": SEO/AEO "leveraging our proprietary data", trial UX, in-product engagement, lifecycle communications and pricing/packaging. Success: "Organic inbounds become our primary channel for new customer acquisition", more trial starts, deeper trial engagement, more trial-to-paid conversion and more active users per account.Source
  • 10

    YipitData has 19 event pages and goes to category shows every year. Brand teams at those shows want one thing: how their category and competitors are moving.

    High impactMedium effort First result in 1 quarter Client Strategy Manager

    First action

    Pick the next show and the 50 brands exhibiting in the categories YipitData covers.

    How to measure it

    Pre-booked meetings

    Now
    –
    Target
    25 per show
    By
    next 3 shows

    Steps

    1. 1

      Choose shows

      The next three shows in covered categories.

      Client Strategy Manager, Corporate 1 day

    2. 2

      List exhibitors

      Brands in covered categories.

      Client Strategy Manager, Corporate 2 days

    3. 3

      Make the snapshot

      One page per category, coarse and dated.

      Client Strategy Manager, Corporate 1 week

    4. 4

      Send invitations

      Snapshot plus a booking link, two weeks before.

      Client Strategy Manager, Corporate 1 day

    5. 5

      Run meetings

      Walk through the brand's own numbers.

      Client Strategy Manager, Corporate show days

    6. 6

      Follow up

      Trial access within 48 hours.

      Client Strategy Manager, Corporate 2 days

    7. 7

      Measure

      Meetings, trials, opportunities per show.

      Client Strategy Manager, Corporate after each show

    First result
    1 quarter
    Cost
    Analyst time per show
    Owner
    Client Strategy Manager, Corporate

    Smallest test

    Send snapshots to 20 exhibitors of the next show.

    Why it works

    Before each show, send target brands a one-page category snapshot (category growth, top movers, channel shift) with an invitation to a 20-minute walkthrough of their own brand at the show; follow up with the full brand view as a trial.

    A snapshot of a buyer's own category is the most relevant thing a data company can bring to a show, and it books meetings before competitors walk the floor.

    Risks and how to handle them

    • Brands see competitors' detail

      Snapshots show category-level movement only.

    Evidence

    • Your websiteSitemap: 571 URLs, 418 of them /resources posts and webcasts, 33 /industries pages, 19 event pages (KBIS, Toy Fair, Global Pet Expo, CEW, HIRI) and five white papers. programmable.info: Webflow, Marketo, Microsoft Clarity, no newsletter sign-up found, security headers grade F and Mozilla Observatory C-; LCP 1.3s.Source
    • HiringCorporate-side hires: a Client Strategy Manager for brand and retail customers, judged on adoption and renewals; a Solutions Lead, Cloud for "leading cloud and data infrastructure companies" (cloud and AI workload adoption, customer spend and consumption, market share); a Solutions Lead for Business & Consulting companies; and an Insights Sector Lead, Emerging Verticals owning "category thought leadership" and "upsell and renewal opportunities".Source
    • Press releasesApril 13, 2026: ZoomInfo founder and CEO Henry Schuck joined YipitData's board ("Over 650 customers, including many of the world's largest institutional investors and Fortune 100 companies"). May 12, 2026: Ulta Beauty uses YipitData for merchandising and assortment; Ulta's SVP says the data helps "support our brand partners".Source
  • 11

    The Solutions Lead, Cloud will own relationships with cloud and data infrastructure companies and act as a thought leader on that market. YipitData already has a cloud dataset with billions of rows and a quarterly Spot Instance Report on GPU pricing and availability.

    High impactMedium effort First result in 1 quarter Client Strategy Manager

    First action

    List the cloud and infrastructure accounts and the teams inside each that do not use the data yet.

    How to measure it

    New teams per account

    Now
    –
    Target
    +1 per account
    By
    2 quarters

    Steps

    1. 1

      Map accounts

      Teams that use and do not use YipitData in each account.

      Client Strategy Manager, Corporate 1 week

    2. 2

      Draft the briefing

      Adoption, consumption, GPU pricing, share.

      Client Strategy Manager, Corporate 2 weeks

    3. 3

      Check with compliance

      What can be shown to whom, given investor clients.

      CEO 1 week

    4. 4

      Invite

      Strategy, product and finance leads.

      Client Strategy Manager, Corporate 1 week

    5. 5

      Run it

      Forty minutes, then questions.

      Client Strategy Manager, Corporate 1 day

    6. 6

      Follow up

      A tailored question set for each new team.

      Client Strategy Manager, Corporate 1 week

    First result
    1 quarter
    Cost
    Analyst time
    Owner
    Client Strategy Manager, Corporate

    Smallest test

    Run one briefing for three existing cloud accounts.

    Why it works

    Run a private quarterly briefing for client and prospect teams: workload adoption, consumption trends, GPU pricing and capacity, and share shifts, with a short written deck. Invite strategy, product and finance leads separately.

    Infrastructure companies make pricing and capacity decisions quarterly; a standing briefing makes YipitData part of that rhythm and opens new teams inside each account.

    Risks and how to handle them

    • Competitor data concerns

      Market-level views only, with compliance review.

    Evidence

    • HiringCorporate-side hires: a Client Strategy Manager for brand and retail customers, judged on adoption and renewals; a Solutions Lead, Cloud for "leading cloud and data infrastructure companies" (cloud and AI workload adoption, customer spend and consumption, market share); a Solutions Lead for Business & Consulting companies; and an Insights Sector Lead, Emerging Verticals owning "category thought leadership" and "upsell and renewal opportunities".Source
    • Your websiteSitemap: 571 URLs, 418 of them /resources posts and webcasts, 33 /industries pages, 19 event pages (KBIS, Toy Fair, Global Pet Expo, CEW, HIRI) and five white papers. programmable.info: Webflow, Marketo, Microsoft Clarity, no newsletter sign-up found, security headers grade F and Mozilla Observatory C-; LCP 1.3s.Source
    • HiringInvestor-side hires: a Head of Data Feeds to turn quant products, consumer transaction and receipt data and other feeds into "a major, repeatable growth engine" (owning ARR, packaging, pricing, trials and onboarding for "systematic-data buyers"); a Senior Business Development Executive for quant sales ("With over 500+ fundamental investor clients, we are now expanding our footprint into the quantitative investment space"); and an Account Development Manager II for "a new and fast growing segment" of hedge fund clients, owning renewals and upsells.Source
  • 12

    The new Solutions Lead for Business & Consulting serves firms that answer clients' market questions for a living. They need data they can put in a client deck with clear permission.

    Medium impactMedium effort First result in 2 quarters Client Strategy Manager

    First action

    Ask two consulting clients how they use the data in deliverables today and what they would pay per project.

    How to measure it

    Consulting license revenue

    Now
    –
    Target
    5 new firms
    By
    3 quarters

    Steps

    1. 1

      Interview firms

      Current use and permission questions.

      Client Strategy Manager, Corporate 2 weeks

    2. 2

      Write the license

      Per engagement and per practice, with display rights.

      CEO 1 month

    3. 3

      Price it

      Against current contracts.

      Client Strategy Manager, Corporate 1 week

    4. 4

      Build the credit

      A standard chart footer and source line.

      Lead Web Designer & Developer 2 days

    5. 5

      Sell to five firms

      Strategy and diligence practices first.

      Client Strategy Manager, Corporate 1 quarter

    6. 6

      Track resale

      Which client companies saw YipitData charts.

      Client Strategy Manager, Corporate quarterly

    First result
    2 quarters
    Cost
    Legal time
    Owner
    Client Strategy Manager, Corporate

    Smallest test

    Offer the license on the next consulting renewal.

    Why it works

    Define a project license: a consulting firm buys access per engagement or per practice, with rights to show charts in client deliverables under a YipitData credit, plus a fast-turn data pull for diligence and strategy work.

    Consultants and bankers reach hundreds of companies; a clear license turns each project into a showcase in front of a future corporate client.

    Risks and how to handle them

    • Data leaks beyond the project

      Display rights only, no raw data transfer.

    Evidence

    • HiringCorporate-side hires: a Client Strategy Manager for brand and retail customers, judged on adoption and renewals; a Solutions Lead, Cloud for "leading cloud and data infrastructure companies" (cloud and AI workload adoption, customer spend and consumption, market share); a Solutions Lead for Business & Consulting companies; and an Insights Sector Lead, Emerging Verticals owning "category thought leadership" and "upsell and renewal opportunities".Source
    • Your websiteCoverage numbers differ by page: the homepage meta description says "Daily intelligence on 12M+ consumers and 2,000 companies"; the Public Investors description says "2,600+ public companies"; the private investor page says "250K+ private companies"; the About page says "over 500,000 companies covered and $1.8 trillion in B2B spend tracked"; the Corporations description says "500,000+ retailers" and "12M+ real shoppers". The homepage and About both say 650+ customers.Source
  • 13

    The Head of Data, Private Investor owns accuracy and is building benchmark sets of true numbers. Private market investors are sceptical of estimates by default, and the page itself says rivals extrapolate from consumer panels.

    High impactMedium effort First result in 1 quarter Head of Data

    First action

    Collect 30 private AI and software companies that disclosed revenue or ARR in the last year.

    How to measure it

    Demo-to-trial rate

    Now
    –
    Target
    +20% relative
    By
    2 quarters

    Steps

    1. 1

      Collect disclosures

      30 to 50 companies with later public numbers.

      Head of Data, Private Investor 2 weeks

    2. 2

      Compare

      Estimate at the time against the disclosed number.

      Head of Data, Private Investor 1 week

    3. 3

      Write the method

      Sample, timing, error measure, limits.

      Head of Data, Private Investor 1 week

    4. 4

      Legal and compliance review

      No company-specific errors that breach terms.

      CEO 1 week

    5. 5

      Publish

      A methodology page and a one-page summary for sales.

      Senior Product Marketing Manager 1 day

    6. 6

      Repeat quarterly

      Same method, growing sample.

      Head of Data, Private Investor quarterly

    First result
    1 quarter
    Cost
    Data team time
    Owner
    Head of Data, Private Investor

    Smallest test

    Share the internal comparison with three prospects under NDA.

    Why it works

    Each quarter, compare Signals estimates with numbers companies later disclosed (funding announcements, S-1 filings, public ARR milestones) and publish the error range by company size, with the method. Use it in every first meeting.

    Showing the error bars is what makes a buyer trust the point estimate, and no rival publishes theirs.

    Risks and how to handle them

    • The numbers are not flattering

      Publish the method anyway and show improvement over time; buyers trust honesty.

    Evidence

    • HiringHead of Data, Private Investor: makes "our private-company insights the most trusted in the market" for AI and software companies; builds "truth data benchmark sets and a QA framework" across "thousands, later across hundreds of thousands, and eventually across millions of companies". The private AI & Software page sells the Signals platform on B2B spend data across "250K+ private companies" and says rivals "estimate B2B spend by extrapolating from consumer panels".Source
    • Competitor researchRivals on the investor side sell transaction-panel data: Consumer Edge ("global consumer transaction data"), Bloomberg Second Measure ("transaction data analytics") and M Science ("AI-Ready Market Intelligence"). SpendHound's rivals include Vendr ("free Price Checks" on software quotes) and Vertice ("agentic workflows" and expert buyers).Source
  • 14

    SpendHound has 466 vendor pricing pages and a new AI Spend Visibility module, and the SMB team works inbound. Vendr competes with free Price Checks. AI tools are the category where buyers are least sure of a fair price.

    High impactMedium effort First result in 1 quarter SpendHound Head of Sales

    First action

    Rank the 466 pages by search impressions and pick the 20 AI vendors to upgrade first.

    How to measure it

    Free sign-ups from pricing pages

    Now
    –
    Target
    300 a month
    By
    2 quarters

    Steps

    1. 1

      Rank pages

      Impressions and sign-ups by vendor page.

      SpendHound Head of Sales 1 day

    2. 2

      Design the template

      Benchmark range, tips, survey numbers, call to action.

      Lead Web Designer & Developer 1 week

    3. 3

      Fill AI vendors

      20 AI vendors with real ranges.

      SpendHound Head of Sales 2 weeks

    4. 4

      Roll to SaaS

      Top 50 SaaS vendors.

      SpendHound Head of Sales 1 month

    5. 5

      Route leads

      Sign-ups to the SMB team with the vendor as source.

      SpendHound Head of Sales 1 day

    6. 6

      Refresh

      Monthly benchmark updates.

      SpendHound Head of Sales monthly

    First result
    1 quarter
    Cost
    Content time
    Owner
    SpendHound Head of Sales

    Smallest test

    Upgrade five AI vendor pages and compare sign-ups for a month.

    Why it works

    Upgrade the AI vendor pages first: a benchmark range by company size from SpendHound's own data, renewal timing tips, the AI spend survey numbers, and a "check your price" button that starts a free account; then roll the template to the top 50 SaaS vendors.

    Pricing questions have high intent, and SpendHound's real spend data is more credible than list prices. Each page is an inbound lead source for the SMB team.

    Risks and how to handle them

    • Vendors object to published ranges

      Ranges by size band from aggregated data, no customer names.

    Evidence

    • SpendHound websitespendhound.com: "100% free" SaaS, cloud and AI spend tracking with "real pricing benchmarks across 10,000+ vendors", "Trusted by 1,500+" finance, ops and procurement teams, a new AI Spend Visibility module, 466 /marketplace vendor pricing pages and five comparison pages (Productiv, Spendflo, Tropic, Vendr, Vertice). The partner page offers referral incentives to outsourced finance firms, investment firms and technology partners. The site never names YipitData.Source
    • SpendHound websiteSpendHound AI Spend webinar recap (August 2026): of 172 finance and procurement leaders surveyed, "46% went over budget on general purpose AI last year" and "57% either don't believe they're paying a fair price for AI or don't know"; 81% expect AI budgets to rise again; coming next: cost attribution tags, anomaly alerts, Claude Code analytics and integrations for Cursor, GitHub Copilot and Gemini.Source
    • Competitor researchRivals on the investor side sell transaction-panel data: Consumer Edge ("global consumer transaction data"), Bloomberg Second Measure ("transaction data analytics") and M Science ("AI-Ready Market Intelligence"). SpendHound's rivals include Vendr ("free Price Checks" on software quotes) and Vertice ("agentic workflows" and expert buyers).Source
    • HiringSpendHound hires: a Finance Partnerships Manager for "an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20", owning partner-sourced customer targets; an SDR 2 - Enterprise to break into "SpendHound's largest prospect accounts with more than $100m in Software spend", reaching procurement leaders about "software and AI renewals"; and a Sales Associate - SMB on "a new start-up team, but with the resources of a larger company", working inbound and outbound.Source
  • 15

    The Growth PM is asked to find the moments that make trialists engage and convert. For a data agent, the aha is usually one specific answer about the user's own brand or portfolio.

    High impactMedium effort First result in 1 quarter Growth Product Manager

    First action

    Pull the first five questions from the last 100 trials and tag which converted.

    How to measure it

    Trial-to-paid

    Now
    –
    Target
    +25% relative
    By
    2 quarters

    Steps

    1. 1

      Pull logs

      First questions per trial and the outcome.

      Growth Product Manager 1 week

    2. 2

      Find patterns

      Questions that predict conversion by segment.

      Growth Product Manager 1 week

    3. 3

      Pre-fill sessions

      The best first question for each segment.

      Growth Product Manager 2 weeks

    4. 4

      Day-3 email

      The next question to ask, in Marketo.

      Growth Product Manager 2 days

    5. 5

      A/B test

      Pre-filled against blank start.

      Growth Product Manager 1 month

    6. 6

      Roll out

      To all trials if it wins.

      Growth Product Manager 1 day

    First result
    1 quarter
    Cost
    Product time
    Owner
    Growth Product Manager

    Smallest test

    Pre-fill one question for brand trialists for a month.

    Why it works

    From agent logs, find the questions asked by trialists who converted and those who did not. Pre-fill the first session with the converting question for the user's segment (their brand's share, their portfolio's top movers) and send a day-3 email with the next question to ask.

    Trials fail when a user does not know what to ask. Starting with a question that worked for similar users gets them to value in the first session.

    Risks and how to handle them

    • Small samples

      Run the test long enough and look at engagement as an early signal.

    Evidence

    • HiringGrowth Product Manager (posted September 2026): "build a product-led growth motion for YipitAgent, our company's latest flagship product", owning the journey "from first impression through paid conversion": SEO/AEO "leveraging our proprietary data", trial UX, in-product engagement, lifecycle communications and pricing/packaging. Success: "Organic inbounds become our primary channel for new customer acquisition", more trial starts, deeper trial engagement, more trial-to-paid conversion and more active users per account.Source
    • Your websiteThe Insight Agent page ("an AI-powered analyst built directly into the YipitData platform") cites "about 99 percent accuracy on market share analyses" and "fewer than 1 percent of analyses requiring human escalation"; its call to action is "Subscribe", with no trial, sample answer or pricing. No page on yipitdata.com uses the name YipitAgent from the Growth PM post; agent.yipitdata.com is an app shell marked noindex.Source

Big bets 3

Larger plays that can change the trajectory.

  • 16

    The Director of Strategic Data Partnerships is judged on one flagship exclusive deal in 12 to 18 months. Choosing the right gap matters more than closing fast.

    High impactHigh effort First result in 12-18 months Director of Strategic Data Pa…

    First action

    Ask every seller for the last three coverage gaps they lost a deal on.

    How to measure it

    Revenue tied to the new dataset

    Now
    –
    Target
    $ named in the business case
    By
    24 months

    Steps

    1. 1

      Collect gaps

      From lost deals, trials and renewals.

      Senior Product Marketing Manager 1 month

    2. 2

      Score gaps

      Revenue at stake and buyers asking.

      Director of Strategic Data Partnerships 2 weeks

    3. 3

      Map owners

      Companies holding the data for the top two gaps.

      Director of Strategic Data Partnerships 1 month

    4. 4

      Approach CEOs

      With the demand evidence and a business case.

      Director of Strategic Data Partnerships 2 quarters

    5. 5

      Diligence

      Quality, defensibility, compliance.

      Director of Strategic Data Partnerships 1 quarter

    6. 6

      Plan the launch

      Sales story and first customers lined up before signing.

      Senior Product Marketing Manager 1 month

    First result
    12 to 18 months
    Cost
    Partnership economics
    Owner
    Director of Strategic Data Partnerships

    Smallest test

    Score the top ten gaps from one quarter of lost deals.

    Why it works

    Before outreach, collect the coverage gaps named in lost deals, trials and renewals across investor and corporate teams, score each by revenue at stake, and target data owners that close the top two gaps. Bring sales evidence into every CEO conversation.

    A partnership that closes a gap buyers already ask about pays back on day one and gives the sales teams a launch story.

    Risks and how to handle them

    • Exclusive terms are expensive

      Tie payments to revenue where possible.

    Evidence

    • HiringDirector of Strategic Data Partnerships: "~40 active data partnerships"; finds and signs "exclusive, long-cycle data partnerships" with CEOs, "many of whom have not previously monetized their data"; success is "Signing one flagship, exclusive partnership within the first 12-18 months" and a repeatable executive-level pipeline.Source
    • HiringSenior Product Marketing Manager, Public Investor: owns positioning and go-to-market across data feeds, the Investor Portal and "AI-powered agents and MCPs"; defines customer profiles and messaging by investor segment ("hedge funds vs. long-onlys"); leads competitive intelligence "across both traditional data providers and emerging AI platforms"; works on pricing and packaging; a "foundational role" building core PMM capabilities.Source
    • HiringInvestor-side hires: a Head of Data Feeds to turn quant products, consumer transaction and receipt data and other feeds into "a major, repeatable growth engine" (owning ARR, packaging, pricing, trials and onboarding for "systematic-data buyers"); a Senior Business Development Executive for quant sales ("With over 500+ fundamental investor clients, we are now expanding our footprint into the quantitative investment space"); and an Account Development Manager II for "a new and fast growing segment" of hedge fund clients, owning renewals and upsells.Source
  • 17

    The Growth PM is asked to test pricing, packaging and trials. Today every path ends in "Book a demo" or "Subscribe" to an enterprise contract, which leaves out smaller funds, emerging brands and individual analysts.

    High impactHigh effort First result in 2 quarters Growth Product Manager

    First action

    Count demo requests from companies too small for the current minimum contract.

    How to measure it

    Self-serve monthly revenue

    Now
    –
    Target
    set in the pricing test
    By
    2 quarters

    Steps

    1. 1

      Size the gap

      Demo requests too small for enterprise.

      Growth Product Manager 1 week

    2. 2

      Design plans

      Questions per month, categories, data level.

      Growth Product Manager 1 month

    3. 3

      Protect enterprise

      Rules for what self-serve never includes.

      Senior Product Marketing Manager 2 weeks

    4. 4

      Build checkout

      Card payment and entitlements.

      Growth Product Manager 1 month

    5. 5

      Launch to a segment

      Emerging brands first.

      Growth Product Manager 1 month

    6. 6

      Hand off growth

      Accounts above a usage line go to sales.

      Growth Product Manager ongoing

    First result
    2 quarters
    Cost
    Product and engineering time
    Owner
    Growth Product Manager

    Smallest test

    Offer a paid monthly plan to 20 small-company demo requests.

    Why it works

    Test a monthly self-serve plan: a set number of agent questions per month on chosen categories, coarser data than enterprise, card payment, and a clear upgrade path to an account manager.

    A self-serve tier turns organic traffic into revenue without sales time and finds the accounts that will grow into enterprise contracts.

    Risks and how to handle them

    • Cannibalising enterprise

      Different data depth and question limits.

    Evidence

    • HiringGrowth Product Manager (posted September 2026): "build a product-led growth motion for YipitAgent, our company's latest flagship product", owning the journey "from first impression through paid conversion": SEO/AEO "leveraging our proprietary data", trial UX, in-product engagement, lifecycle communications and pricing/packaging. Success: "Organic inbounds become our primary channel for new customer acquisition", more trial starts, deeper trial engagement, more trial-to-paid conversion and more active users per account.Source
    • Your websiteThe Insight Agent page ("an AI-powered analyst built directly into the YipitData platform") cites "about 99 percent accuracy on market share analyses" and "fewer than 1 percent of analyses requiring human escalation"; its call to action is "Subscribe", with no trial, sample answer or pricing. No page on yipitdata.com uses the name YipitAgent from the Growth PM post; agent.yipitdata.com is an app shell marked noindex.Source
    • HiringSenior Product Marketing Manager, Public Investor: owns positioning and go-to-market across data feeds, the Investor Portal and "AI-powered agents and MCPs"; defines customer profiles and messaging by investor segment ("hedge funds vs. long-onlys"); leads competitive intelligence "across both traditional data providers and emerging AI platforms"; works on pricing and packaging; a "foundational role" building core PMM capabilities.Source
  • 18

    Ulta says YipitData helps it "support our brand partners". Retailers want their brands to make better assortment and promotion decisions, and each retailer works with hundreds of brands YipitData does not sell to yet.

    High impactHigh effort First result in 3 quarters Client Strategy Manager

    First action

    Ask Ulta's team whether their brand partners ask for outside-in data and what they get today.

    How to measure it

    Brand upgrades from retailer programs

    Now
    –
    Target
    30 brands
    By
    4 quarters

    Steps

    1. 1

      Ask the retailer

      What brand partners need.

      Client Strategy Manager, Corporate 2 weeks

    2. 2

      Design the view

      What a sponsored brand sees, and what it does not.

      Senior Product Marketing Manager 1 month

    3. 3

      Agree terms

      Who pays, data rights, retailer confidentiality.

      CEO 2 months

    4. 4

      Pilot

      20 of the retailer's brands.

      Client Strategy Manager, Corporate 1 quarter

    5. 5

      Upgrade path

      Brands that want more get a trial and an account manager.

      Client Strategy Manager, Corporate ongoing

    6. 6

      Repeat

      A second retailer in another category.

      Client Strategy Manager, Corporate 2 quarters

    First result
    3 quarters
    Cost
    Program build
    Owner
    Client Strategy Manager, Corporate

    Smallest test

    Propose the pilot to one retail customer.

    Why it works

    Offer retailers a program where their brand partners get a limited YipitData view (category trends at that retailer and in the market), paid by the retailer or shared; brands that want more upgrade to their own subscription.

    One retailer deal opens hundreds of brand relationships at once, and brands meet YipitData through a partner they already trust.

    Risks and how to handle them

    • Retailers fear data reaching rivals

      Sponsored views show only that retailer's and the total market's data.

    Evidence

    • Press releasesApril 13, 2026: ZoomInfo founder and CEO Henry Schuck joined YipitData's board ("Over 650 customers, including many of the world's largest institutional investors and Fortune 100 companies"). May 12, 2026: Ulta Beauty uses YipitData for merchandising and assortment; Ulta's SVP says the data helps "support our brand partners".Source
    • HiringCorporate-side hires: a Client Strategy Manager for brand and retail customers, judged on adoption and renewals; a Solutions Lead, Cloud for "leading cloud and data infrastructure companies" (cloud and AI workload adoption, customer spend and consumption, market share); a Solutions Lead for Business & Consulting companies; and an Insights Sector Lead, Emerging Verticals owning "category thought leadership" and "upsell and renewal opportunities".Source
    • Your websiteThe Walmart customer story (published October 14, 2026) shows Webflow placeholder text in the page: "Type image caption here (optiona". The site lists four customer stories (Fiskars, Mayzon, Walmart, Worthington). The Package Definitions page describes "product offerings as of January 2025".Source

Wildcards 3

Unexpected experiments, each with a cheap way to test it.

  • 19

    The agent shows panel sizes, collection methods and coverage behind each answer, and the investor page argues that rivals estimate B2B spend from consumer panels. But there is no public page explaining the data network itself.

    Medium impactLow effort First result in 1 month Senior Product Marketing Mana…

    First action

    Collect the methodology text that already exists in sales decks and agent answers.

    How to measure it

    Visits from AI assistants and links

    Now
    –
    Target
    +100%
    By
    2 quarters

    Steps

    1. 1

      Collect text

      From decks, agent answers and white papers.

      Senior Product Marketing Manager 1 week

    2. 2

      Write the page

      Panels, sources, corrections, limits.

      Senior Product Marketing Manager 1 week

    3. 3

      Review

      Data leads and compliance.

      Head of Data, Private Investor 1 week

    4. 4

      Publish

      With structured data and a date.

      Lead Web Designer & Developer 1 day

    5. 5

      Link it

      From answer pages, product pages and the agent.

      Lead Web Designer & Developer 1 day

    6. 6

      Update

      When sources change.

      Senior Product Marketing Manager quarterly

    First result
    1 month
    Cost
    $0
    Owner
    Senior Product Marketing Manager

    Smallest test

    Publish a short version and link it from five answer pages.

    Why it works

    One methodology page: the panels YipitData owns, the 40+ source types, how panels are corrected for bias, how private company estimates are tested (idea 13), and what the data cannot see. Link it from every answer page and product page.

    Data buyers and AI assistants both look for a method before trusting a number; a clear method page is the most cited page a data company can have.

    Risks and how to handle them

    • Revealing sources to rivals

      Describe source types and methods, not partner names or contracts.

    Evidence

    • Your websiteThe Insight Agent page ("an AI-powered analyst built directly into the YipitData platform") cites "about 99 percent accuracy on market share analyses" and "fewer than 1 percent of analyses requiring human escalation"; its call to action is "Subscribe", with no trial, sample answer or pricing. No page on yipitdata.com uses the name YipitAgent from the Growth PM post; agent.yipitdata.com is an app shell marked noindex.Source
    • HiringHead of Data, Private Investor: makes "our private-company insights the most trusted in the market" for AI and software companies; builds "truth data benchmark sets and a QA framework" across "thousands, later across hundreds of thousands, and eventually across millions of companies". The private AI & Software page sells the Signals platform on B2B spend data across "250K+ private companies" and says rivals "estimate B2B spend by extrapolating from consumer panels".Source
    • Your websiteCoverage numbers differ by page: the homepage meta description says "Daily intelligence on 12M+ consumers and 2,000 companies"; the Public Investors description says "2,600+ public companies"; the private investor page says "250K+ private companies"; the About page says "over 500,000 companies covered and $1.8 trillion in B2B spend tracked"; the Corporations description says "500,000+ retailers" and "12M+ real shoppers". The homepage and About both say 650+ customers.Source
  • 20

    SpendHound surveyed 172 finance and procurement leaders and has spend data from 1,500+ companies. AI cost is a story every finance publication covers.

    Medium impactLow effort First result in 2 months SpendHound Head of Sales

    First action

    Schedule the next survey wave and decide the five headline measures.

    How to measure it

    Press mentions per edition

    Now
    –
    Target
    10
    By
    each edition

    Steps

    1. 1

      Fix the measures

      Five headline numbers repeated each edition.

      SpendHound Head of Sales 1 day

    2. 2

      Run the survey

      Same questions, larger sample.

      SpendHound Head of Sales 1 month

    3. 3

      Add aggregated data

      De-identified spend trends.

      SpendHound Head of Sales 2 weeks

    4. 4

      Write and chart

      Short report and press charts.

      SpendHound Head of Sales 2 weeks

    5. 5

      Pitch

      Finance press and partners.

      SpendHound Head of Sales 1 week

    6. 6

      Repeat

      Every six months.

      SpendHound Head of Sales twice a year

    First result
    2 months
    Cost
    Survey costs
    Owner
    SpendHound Head of Sales

    Smallest test

    Republish the current survey as "Index, first edition" with charts.

    Why it works

    Publish an "AI Spend Index" every six months: share over budget, price confidence, spend by provider and seat versus usage pricing, from survey plus aggregated data, with charts journalists can use and a partner edition for finance firms.

    A recurring index earns links and press every cycle, and partners use it in client conversations.

    Risks and how to handle them

    • Sample too small to be cited

      Grow the sample and publish margins of error.

    Evidence

    • SpendHound websiteSpendHound AI Spend webinar recap (August 2026): of 172 finance and procurement leaders surveyed, "46% went over budget on general purpose AI last year" and "57% either don't believe they're paying a fair price for AI or don't know"; 81% expect AI budgets to rise again; coming next: cost attribution tags, anomaly alerts, Claude Code analytics and integrations for Cursor, GitHub Copilot and Gemini.Source
    • SpendHound websitespendhound.com: "100% free" SaaS, cloud and AI spend tracking with "real pricing benchmarks across 10,000+ vendors", "Trusted by 1,500+" finance, ops and procurement teams, a new AI Spend Visibility module, 466 /marketplace vendor pricing pages and five comparison pages (Productiv, Spendflo, Tropic, Vendr, Vertice). The partner page offers referral incentives to outsourced finance firms, investment firms and technology partners. The site never names YipitData.Source
    • HiringSpendHound hires: a Finance Partnerships Manager for "an initial portfolio of ~5 outsourced finance partner companies that we expect to grow to 10-20", owning partner-sourced customer targets; an SDR 2 - Enterprise to break into "SpendHound's largest prospect accounts with more than $100m in Software spend", reaching procurement leaders about "software and AI renewals"; and a Sales Associate - SMB on "a new start-up team, but with the resources of a larger company", working inbound and outbound.Source
  • 21

    The Director of Strategic Data Partnerships talks to CEOs who have never sold their data. Today the only public entry point is a "Data partners" link; there is nothing that explains what selling data involves.

    Medium impactLow effort First result in 2 months Director of Strategic Data Pa…

    First action

    Ask two current data partners what convinced them to license.

    How to measure it

    Partner inquiries

    Now
    –
    Target
    5 a quarter
    By
    2 quarters

    Steps

    1. 1

      Interview partners

      What made them say yes.

      Director of Strategic Data Partnerships 2 weeks

    2. 2

      Write the page

      Data types, privacy, economics, story, form.

      Director of Strategic Data Partnerships 1 week

    3. 3

      Legal review

      Claims and confidentiality.

      CEO 1 week

    4. 4

      Publish

      Linked from the footer and About.

      Lead Web Designer & Developer 1 day

    5. 5

      Promote

      In the Director's outreach and LinkedIn.

      Director of Strategic Data Partnerships ongoing

    6. 6

      Track

      Inquiries and quality.

      Director of Strategic Data Partnerships quarterly

    First result
    2 months
    Cost
    $0
    Owner
    Director of Strategic Data Partnerships

    Smallest test

    Put up a short version with the inquiry form.

    Why it works

    Publish a page for data owners: what kinds of data YipitData licenses, how privacy and de-identification work, how revenue sharing is structured, a short case from an existing partner, and a confidential inquiry form.

    Inbound interest from data owners adds to the Director's outbound pipeline and filters for owners who are already thinking about it.

    Risks and how to handle them

    • Low-quality inquiries

      A short qualifying form with data type and size.

    Evidence

    • HiringDirector of Strategic Data Partnerships: "~40 active data partnerships"; finds and signs "exclusive, long-cycle data partnerships" with CEOs, "many of whom have not previously monetized their data"; success is "Signing one flagship, exclusive partnership within the first 12-18 months" and a repeatable executive-level pipeline.Source
    • Your websiteSitemap: 571 URLs, 418 of them /resources posts and webcasts, 33 /industries pages, 19 event pages (KBIS, Toy Fair, Global Pet Expo, CEW, HIRI) and five white papers. programmable.info: Webflow, Marketo, Microsoft Clarity, no newsletter sign-up found, security headers grade F and Mozilla Observatory C-; LCP 1.3s.Source

03

How Programmable can help

Where an idea in this playbook is something Programmable builds or runs, it's listed here with what we'd do. Everything else is yours to run.

ProgrammableInfo

Turn the research into a list you can act on

These ideas start with finding the right companies. Info finds them and the right person at each, researches every one and drafts the outreach, then asks before it sends.

  • Build this list in Info for idea #17 (opens programmable.info in a new tab)

New accounts: 100,000 free credits with code BETA100K

Find the companies (opens programmable.info in a new tab)
ProgrammableTalk

Fill the events in this plan

These ideas are events. Talk gets registrants for them and tells you who's coming and what their company does before the day.

Plan an event (opens programmable.talk in a new tab)
Website review of yipitdata.com More example playbooks and reviews

More growth playbooks

Other companies we have researched, each read from what they are hiring for.

  • Spott growth strategyAn AI-native ATS and CRM for recruitment agencies: search and matching, an AI note taker, Ask Spott, outreach across email, SMS and…24 growth ideas
  • Cadence growth strategyA clinical AI and care delivery company for chronic disease: remote patient care, 24/7 preventive primary care (APCM) and post-acute care…22 growth ideas
  • Plooto growth strategyA payment automation platform for payables and receivables (EFT/ACH, cheques, cards, international and CRA payments) with approval…21 growth ideas
  • Ackermans growth strategyA South African value retailer, founded in 1916 and owned by Pepkor, selling clothing for babies, kids, women and men, school shoes and…23 growth ideas
  • OpenFX growth strategyCross-border FX and payment infrastructure for institutions: 24/7 liquidity and settlement using stablecoin rails under the hood, an API…22 growth ideas
  • CI&T growth strategyA Brazil-founded, NYSE-listed technology services firm that helps large enterprises with AI deployment, agentic software delivery (CI&T…22 growth ideas
  • Alpine Eagle growth strategyA European defence technology company building airborne counter-drone systems (Sentinel) and the Sentinel-OS software platform.21 growth ideas
  • SoundCloud growth strategySoundCloud's developer platform: a public API, an embeddable player with a Widget API, a credentials CLI and docs for building with AI, so…21 growth ideas

See every playbook and website review

Independent research. Programmable wrote this playbook from public sources, as they stood on October 18, 2026, and cites them throughout. YipitData did not commission, review or endorse it, and Programmable is not affiliated with YipitData. Company and product names are trademarks of their owners, used only to identify them. The ideas are suggestions and opinion, not professional, legal or financial advice, and not statements about how YipitData runs its business.

Something wrong, or do you represent YipitData? Email [email protected] and we will correct it or take it down.

30/60/90 roadmap

What to focus on in each month, and the ideas that carry it.

  1. Days 1 to 306 ideas

    Answer pages, the agent's name and trial page, consistent numbers, the customer stories, SpendHound's data-use page and the partner checkup.

  2. Days 31 to 606 ideas

    Quant evaluation kits, usage-based renewals, industry page templates, trade show snapshots, the trial aha question and the methodology page.

  3. Days 61 to 909 ideas

    The cloud briefing, consulting license, private accuracy report, AI pricing pages, the AI spend index and the data-owner page; scope the big bets.

The research behind the plan

3 research areas, each summarised in a few lines. Open any of them for the full detail.

Customers

What customers say

Customers value real transaction and spend data instead of surveys. The most cited problem: hard to evaluate before buying.

  • Item-level and daily detail
  • Enterprise contracts and long sales cycles
  • In their words: “alternative data”

Market

Competitive landscape

5 competitors compared: Consumer Edge, Bloomberg Second Measure, M Science, Vendr and 1 more.

  • Gap to exploit: A data product investors and brands can try before buying
  • Consumer Edge: Less B2B and cloud spend coverage
  • Bloomberg Second Measure: Consumer focus

Hiring signals

YipitData has 56 open roles. The go-to-market ones say it is moving from a sales-led enterprise data company to one that also grows through product, search and partners. A Growth Product Manager is asked to make…

  • Growth Product Manager: Product-led growth for the agent: SEO/AEO, trials, lifecycle, pricing; organic inbound as the main channel. Ideas 1, 2, 15…
  • Senior Product Marketing Manager, Public Investor: Positioning for feeds, portal, agents and MCPs; competitive intelligence against data providers…
  • Lead Web Designer & Developer: Webflow in-house, SEO/AEO and conversion with demand generation, less agency reliance. Ideas 1, 4, 9.

From the team that wrote this playbook

All products
  • ProgrammableAgencyWorking AI systems in days, not quarters (opens programmable.agency in a new tab)
  • ProgrammableInfoAn agent that finds, researches and asks first (opens programmable.info in a new tab)
  • ProgrammableDigitalScreenshots in, an animated product demo out (opens programmable.digital in a new tab)
  • ProgrammableWatchKnow the day a supplier falls out of compliance (opens programmable.watch in a new tab)
  • ProgrammableTalkGet registrants for your events, and know who’s coming (opens programmable.talk in a new tab)
  • ProgrammablePageText what you need, your customer gets a page that works (opens programmable.page in a new tab)
  • ProgrammableCommunityForums with labelled AI members, never empty (opens programmable.community in a new tab)
ProgrammableMarketing
ExamplesLeaderboardsProductsTermsPrivacyCookiesDPALegalContact

© 2026 AI-Powered Growth Intelligence