LaunchDarkly growth playbook

Take the three archive URLs out of the sitemap, set them to noindex (or redirect them to /pricing/ if no contract links to them), and add a dated banner on each: "Archived pricing from September 2025. See current pricing." Then check what Google and the main AI assistants say LaunchDarkly costs, and track pricing-page sessions and self-serve starts before and after.

Pricing is the last check before a trial or a sales call. One page with one current price removes a reason to hesitate and stops SDRs re-explaining old numbers.

[ ] /pricing/archive-sept2025/ out of sitemap, noindex, banner
[ ] /pricing/archive-apr2025/ same
[ ] /pricing/archive/ same (per-seat plans)
[ ] Contract and order-form links checked
[ ] Search Console removals requested
[ ] AI assistant price answers checked now and in 30 days
[ ] Pricing-to-sign-up rate tracked

• Existing customers need old terms

  Keep the pages reachable by link, just not indexed.

• Search results lag

  Use Search Console removals for the two titled "Pricing | LaunchDarkly".

• Your websiteThree old pricing pages are still live, set to "index" with self-canonical tags and listed in the sitemap: /pricing/archive-sept2025/ and /pricing/archive-apr2025/ (title "Pricing | LaunchDarkly", Foundation at "$12 per Service Connection" plus "$10 per 1k client-side MAU") and /pricing/archive/ ("LaunchDarkly - Pricing", Starter at $8.33 and Pro at $16.67 "Per seat / Per month"). Their meta description still reads "Find the right feature flag management platform price package for you needs".Source
• Your websiteCurrent pricing page: Developer is "Free to start" with "Unlimited seats" and "No per-seat pricing"; Foundation is pay as you go at "$10 per Service Connection / mo" and "$8.33 per 1k client-side MAU / mo" (billed yearly) with 5k AI runs included and "$5 per additional 1k runs"; Enterprise is custom; Guardian is a paid add-on for release monitoring and automatic rollback.Source
• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source
• HiringInbound Sales Development Representative - Boston (posted October 15, 2026): "Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers" and turn "buying signals into qualified meetings and pipeline".Source

Send an alert to the SDR when an best-fit customer profile account views pricing or the Enterprise trial page, with any product usage (SDKs connected, seats invited). The opener references their likely plan and offers a short sizing call.

Speed and relevance on high-intent visits convert far better than generic nurture emails.

• Feels intrusive

  Lead with help on sizing, not with "we saw you".

• HiringInbound Sales Development Representative - Boston (posted October 15, 2026): "Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers" and turn "buying signals into qualified meetings and pipeline".Source
• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source
• Google PageSpeedHomepage (Google PageSpeed, October 21, 2026): real Chrome visitors pass Core Web Vitals (homepage main content in 1.7 s, 165 ms input delay; site-wide 1.0 s and 78 ms, 23% faster than before). Google's slower phone test still scores 46/100 with the headline appearing at 18.3 s, mostly from scripts: about 2.5 s of unused JavaScript. 25 third-party services load, including Google Tag Manager, Segment, Clearbit, 6sense, Bizible, Marketo, Qualified, Crazy Egg and ad pixels for Facebook, Reddit, Quora and X.Source
• Your websiteCurrent pricing page: Developer is "Free to start" with "Unlimited seats" and "No per-seat pricing"; Foundation is pay as you go at "$10 per Service Connection / mo" and "$8.33 per 1k client-side MAU / mo" (billed yearly) with 5k AI runs included and "$5 per additional 1k runs"; Enterprise is custom; Guardian is a paid add-on for release monitoring and automatic rollback.Source

Write two fair pages focused on what data scientists check: warehouse-native analysis, statistical methods (CUPED, sequential testing, ratio metrics), exposure validation, and the runtime control that analytics-first tools lack. Link the power analysis calculator.

Comparison pages reach buyers at decision time, and these two match the head-to-heads experimentation deals now face.

• Open-source fans push back

  Be fair on cost and show where each fits.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteComparison pages: LaunchDarkly vs Unleash, Statsig, Datadog, Harness, Optimizely and Firebase Remote Config, plus a build-vs-buy page. None compares LaunchDarkly with GrowthBook, PostHog or Flagsmith, or AgentControl with AI evaluation and observability tools.Source
• Competitor researchRivals' own homepages (October 21, 2026): Statsig, "your modern product development platform" for experimentation, feature management and analytics, "Trusted by thousands of companies, from OpenAI to series A startups"; GrowthBook, "Experimentation, Feature Flags & Product Analytics Platform"; Unleash, "the FeatureOps control plane built for enterprises. Open source"; Braintrust, "The active observability platform for agents" for "tracing production, running evals, and catching regressions"; Harness, Feature Management & Experimentation.See the research Source
• Your websiteHomepage (checked October 21, 2026): title "Runtime Control for AI-Era Software | Feature Flags & AI Agent Control"; headline "Move at AI speed. Stay in control."; navigation splits the platform into CodeControl and AgentControl and lists a "Power analysis calculator". There are no hreflang tags and no localized pages.Source

Publish one page and a short demo: take an agent change, run the offline eval, then roll it out behind AgentControl to 5% with guardrail metrics and automatic rollback. Show what the eval missed and the experiment caught. Offer "use your eval tool with AgentControl" rather than replace it.

It claims a gap rivals left open and gives AI engineers a reason to add LaunchDarkly to the stack they already have.

• Eval vendors add experiments

  Lead with runtime control, which they lack.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source
• Competitor researchRivals' own homepages (October 21, 2026): Statsig, "your modern product development platform" for experimentation, feature management and analytics, "Trusted by thousands of companies, from OpenAI to series A startups"; GrowthBook, "Experimentation, Feature Flags & Product Analytics Platform"; Unleash, "the FeatureOps control plane built for enterprises. Open source"; Braintrust, "The active observability platform for agents" for "tracing production, running evals, and catching regressions"; Harness, Feature Management & Experimentation.See the research Source
• Your websiteComparison pages: LaunchDarkly vs Unleash, Statsig, Datadog, Harness, Optimizely and Firebase Remote Config, plus a build-vs-buy page. None compares LaunchDarkly with GrowthBook, PostHog or Flagsmith, or AgentControl with AI evaluation and observability tools.Source

List every tag with owner, purpose and last use; remove tools whose data nobody reads; load the rest after the page is interactive or server-side through Segment; and document which account-ID source wins.

Fewer tags mean faster pages on slow devices, cleaner data and lower tool spend.

• Losing attribution

  Run old and new in parallel for two weeks.

• Google PageSpeedHomepage (Google PageSpeed, October 21, 2026): real Chrome visitors pass Core Web Vitals (homepage main content in 1.7 s, 165 ms input delay; site-wide 1.0 s and 78 ms, 23% faster than before). Google's slower phone test still scores 46/100 with the headline appearing at 18.3 s, mostly from scripts: about 2.5 s of unused JavaScript. 25 third-party services load, including Google Tag Manager, Segment, Clearbit, 6sense, Bizible, Marketo, Qualified, Crazy Egg and ad pixels for Facebook, Reddit, Quora and X.Source
• HiringSenior Director, GTM Systems (posted October 12, 2026): "Rationalize a GTM technology landscape by reducing redundancy"; rebuild account hierarchies, "lead and contact routing, enrichment, and do-not-contact governance"; own "Salesforce, Gong, Marketo, LeanData, and the broader GTM application ecosystem".Source
• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source

Build one searchable talk library with topic tags (AI, experimentation, migration, mobile), keep the strong talks, redirect thin ones to their topic, and link current guides from each talk.

A curated library keeps the useful videos findable and strengthens topic pages instead of scattering them.

• Redirect mistakes

  Map every URL before switching.

• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source
• Public profilesFounded 2014, Oakland. Customers named on the site include Block, GoPro, Ally, Nationwide, Hulu, Samsara, GM and Volvo; G2 review badge; a trust center; the YouTube channel has about 3,960 subscribers.Source

Define five signals (first server SDK connected, second environment created, five seats invited, trust center visit, pricing visit by an best-fit customer profile account), assign each an action (in-app guide, product advocate email, SDR call, AE handoff) and A/B test the actions.

Clear rules stop good accounts going cold and keep sales away from individual developers who just want to try the product.

• Too many rules

  Start with five signals.

• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source
• HiringInbound Sales Development Representative - Boston (posted October 15, 2026): "Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers" and turn "buying signals into qualified meetings and pipeline".Source
• Your websiteCurrent pricing page: Developer is "Free to start" with "Unlimited seats" and "No per-seat pricing"; Foundation is pay as you go at "$10 per Service Connection / mo" and "$8.33 per 1k client-side MAU / mo" (billed yearly) with 5k AI runs included and "$5 per additional 1k runs"; Enterprise is custom; Guardian is a paid add-on for release monitoring and automatic rollback.Source
• Public profilesFounded 2014, Oakland. Customers named on the site include Block, GoPro, Ally, Nationwide, Hulu, Samsara, GM and Volvo; G2 review badge; a trust center; the YouTube channel has about 3,960 subscribers.Source

Publish one page per supported warehouse with setup, metrics, a sample analysis and a reference customer, and run a webinar with each warehouse partner's field team.

Data teams buy what fits their warehouse; partner co-marketing also reaches their buyers.

• Feature gaps by warehouse

  Publish only where analysis is complete.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source

Publish a methods hub with one in-depth page per method: the math, how LaunchDarkly implements it, a worked example and a notebook. Have a named statistician author it.

Rigor in public earns the trust of the data teams LaunchDarkly is not yet winning.

• Exposes gaps

  Document limits honestly; it builds trust.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteHomepage (checked October 21, 2026): title "Runtime Control for AI-Era Software | Feature Flags & AI Agent Control"; headline "Move at AI speed. Stay in control."; navigation splits the platform into CodeControl and AgentControl and lists a "Power analysis calculator". There are no hreflang tags and no localized pages.Source

Build EMEA and APJ landing pages that lead with local customers, local compliance (EU AI Act, data residency), local events and regional contacts, and use them for paid and ABM campaigns in each region.

Regional buyers trust regional peers, and pages built for them convert paid traffic better than global pages.

• Contract ends in nine months

  Document templates so the work continues.

• HiringInternational Growth Marketing Manager (9-month contract, posted October 19, 2026): "Drive regional new-logo pipeline growth through digital and paid channels in EMEA and APJ"; "Adapt global campaigns for regional messaging, rather than deploying generic global assets"; "Build and own region-native digital content"; run the digital ABM motion with regional Sales and SDRs.Source
• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source
• Your websiteHomepage (checked October 21, 2026): title "Runtime Control for AI-Era Software | Feature Flags & AI Agent Control"; headline "Move at AI speed. Stay in control."; navigation splits the platform into CodeControl and AgentControl and lists a "Power analysis calculator". There are no hreflang tags and no localized pages.Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source

Translate the homepage, pricing, AgentControl, one comparison page and the demo form into the three languages with biggest pipeline gaps, add hreflang, and test localized paid campaigns against English ones.

Even technical buyers convert better in their language, and localized pages open search demand English pages miss.

• Pages go stale

  Translate only pages with a named owner.

• Your websiteHomepage (checked October 21, 2026): title "Runtime Control for AI-Era Software | Feature Flags & AI Agent Control"; headline "Move at AI speed. Stay in control."; navigation splits the platform into CodeControl and AgentControl and lists a "Power analysis calculator". There are no hreflang tags and no localized pages.Source
• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source
• HiringInternational Growth Marketing Manager (9-month contract, posted October 19, 2026): "Drive regional new-logo pipeline growth through digital and paid channels in EMEA and APJ"; "Adapt global campaigns for regional messaging, rather than deploying generic global assets"; "Build and own region-native digital content"; run the digital ABM motion with regional Sales and SDRs.Source

After the first two months of listening, host a monthly in-person Runtime Labs night on one hard problem (rolling back a bad prompt, evaluating agents in production), with practitioners presenting and a recap post each time.

In-person community builds trust with AI engineers that ads cannot, and recaps keep paying off as content.

• Feels like a sales event

  No pitches; practitioners speak.

• HiringSenior Developer Advocate, AI (Bay Area): attend AI developer events "several times a week", "build and show small, credible demos on AgentControl", "write event recaps" and, over time, convene gatherings "around problems developers actually have". The AgentControl team (Senior Full Stack Engineer, posted October 15) lets teams "adjust agent behavior without needing a redeploy", run experiments and put guardrails around AI. The Staff PM, Data Products wants AI agents to be "first-class consumers alongside humans".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source

Each month, ask the main AI assistants 30 buyer questions (best feature flag tool, how to roll back an AI agent, LaunchDarkly vs Statsig) and record which vendors they name and which pages they cite. Feed gaps to content and analyst briefings.

It measures the new front door to the category and shows exactly which pages to fix.

• Answers vary

  Ask each question three times and average.

• HiringHead of Corporate Marketing (posted September 17, 2026): lead PR, analyst relations and social to make LaunchDarkly's AI-era vision "impossible to ignore"; "Increase LaunchDarkly's share of voice"; run thought leadership for the "CEO, CTO, SVP of Product"; support analyst relations with "Gartner, Forrester, IDC, RedMonk"; preferred experience with "category creation, major market repositioning efforts".Source
• Your websiteComparison pages: LaunchDarkly vs Unleash, Statsig, Datadog, Harness, Optimizely and Firebase Remote Config, plus a build-vs-buy page. None compares LaunchDarkly with GrowthBook, PostHog or Flagsmith, or AgentControl with AI evaluation and observability tools.Source
• Competitor researchRivals' own homepages (October 21, 2026): Statsig, "your modern product development platform" for experimentation, feature management and analytics, "Trusted by thousands of companies, from OpenAI to series A startups"; GrowthBook, "Experimentation, Feature Flags & Product Analytics Platform"; Unleash, "the FeatureOps control plane built for enterprises. Open source"; Braintrust, "The active observability platform for agents" for "tracing production, running evals, and catching regressions"; Harness, Feature Management & Experimentation.See the research Source

Publish a monthly CTO column reviewing a public AI product change (not naming blame), the failure mode, and the control pattern (staged rollout, guardrail metric, kill switch). Pitch the series to engineering media.

A recurring, useful column builds authority faster than one-off launch announcements.

• Seen as ambulance chasing

  Review patterns and your own incidents too.

• HiringHead of Corporate Marketing (posted September 17, 2026): lead PR, analyst relations and social to make LaunchDarkly's AI-era vision "impossible to ignore"; "Increase LaunchDarkly's share of voice"; run thought leadership for the "CEO, CTO, SVP of Product"; support analyst relations with "Gartner, Forrester, IDC, RedMonk"; preferred experience with "category creation, major market repositioning efforts".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source

Find five AgentControl customers across use cases (prompt rollout, model switch, agent guardrails, cost control, eval in production), measure rollback time, incidents avoided and cost, and publish short stories with a video each.

Proof is what turns AI interest into pipeline, and it gives PR and advocates something to talk about.

• Customers decline to be named

  Use anonymized stories with real numbers.

• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source
• HiringHead of Corporate Marketing (posted September 17, 2026): lead PR, analyst relations and social to make LaunchDarkly's AI-era vision "impossible to ignore"; "Increase LaunchDarkly's share of voice"; run thought leadership for the "CEO, CTO, SVP of Product"; support analyst relations with "Gartner, Forrester, IDC, RedMonk"; preferred experience with "category creation, major market repositioning efforts".Source

Match every product organization to a CRM account, route new sign-ups from existing customers to their account owner, enforce do-not-contact across tools, and show usage on the account page.

A single view stops duplicate outreach, speeds inbound and makes expansion visible.

• Bad matches

  Review low-confidence matches by hand.

• HiringSenior Director, GTM Systems (posted October 12, 2026): "Rationalize a GTM technology landscape by reducing redundancy"; rebuild account hierarchies, "lead and contact routing, enrichment, and do-not-contact governance"; own "Salesforce, Gong, Marketo, LeanData, and the broader GTM application ecosystem".Source
• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source
• HiringInbound Sales Development Representative - Boston (posted October 15, 2026): "Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers" and turn "buying signals into qualified meetings and pipeline".Source

Write competitor comparisons for Statsig, Optimizely, GrowthBook and Harness focused on the data scientist's questions, record a demo answering them, and give SEs a warehouse-native proof-of-concept script.

Prepared answers to the hardest questions decide sophisticated evaluations.

• Cards go stale

  Update after every major rival release.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteComparison pages: LaunchDarkly vs Unleash, Statsig, Datadog, Harness, Optimizely and Firebase Remote Config, plus a build-vs-buy page. None compares LaunchDarkly with GrowthBook, PostHog or Flagsmith, or AgentControl with AI evaluation and observability tools.Source
• Competitor researchRivals' own homepages (October 21, 2026): Statsig, "your modern product development platform" for experimentation, feature management and analytics, "Trusted by thousands of companies, from OpenAI to series A startups"; GrowthBook, "Experimentation, Feature Flags & Product Analytics Platform"; Unleash, "the FeatureOps control plane built for enterprises. Open source"; Braintrust, "The active observability platform for agents" for "tracing production, running evals, and catching regressions"; Harness, Feature Management & Experimentation.See the research Source

Package the loop as one AgentControl flow with a clear name, a published reference architecture, a public demo and design partners in three industries.

Owning the whole loop is a position eval-only and flag-only tools cannot match.

• Too broad

  Start with prompt and model changes.

• HiringHead of Experimentation: "Feature management and experimentation have converged into a single market"; "data scientists and data-focused PMs now carry equal weight on the largest deals"; "We are winning lower-maturity buyers at healthy rates. We are not yet consistently winning the most sophisticated data organizations." In AI, "the AI-native tooling category has invested in evaluation and conceded production experimentation". Goals: expand warehouse-native coverage and raise "Win rate on experimentation-involved deals".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source
• HiringSenior Developer Advocate, AI (Bay Area): attend AI developer events "several times a week", "build and show small, credible demos on AgentControl", "write event recaps" and, over time, convene gatherings "around problems developers actually have". The AgentControl team (Senior Full Stack Engineer, posted October 15) lets teams "adjust agent behavior without needing a redeploy", run experiments and put guardrails around AI. The Staff PM, Data Products wants AI agents to be "first-class consumers alongside humans".Source

Expose flag status, experiment results and rollout health through the agent integrations, publish examples ("ask your agent which flags are safe to remove"), and measure agent-driven actions.

Agents are becoming the interface developers use; being readable by them keeps LaunchDarkly in the loop.

• Agents change the wrong flag

  Read-only by default; writes need approval.

• HiringSenior Developer Advocate, AI (Bay Area): attend AI developer events "several times a week", "build and show small, credible demos on AgentControl", "write event recaps" and, over time, convene gatherings "around problems developers actually have". The AgentControl team (Senior Full Stack Engineer, posted October 15) lets teams "adjust agent behavior without needing a redeploy", run experiments and put guardrails around AI. The Staff PM, Data Products wants AI agents to be "first-class consumers alongside humans".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source

Publish aggregate findings (how often releases are rolled back, how long flags live, how AI configs change in production), with privacy review, and brief analysts and press with it.

Original data drives share of voice and analyst attention, the Head of Corporate Marketing's main measures.

• Data seen as sensitive

  Aggregate and suppress small groups.

• HiringHead of Corporate Marketing (posted September 17, 2026): lead PR, analyst relations and social to make LaunchDarkly's AI-era vision "impossible to ignore"; "Increase LaunchDarkly's share of voice"; run thought leadership for the "CEO, CTO, SVP of Product"; support analyst relations with "Gartner, Forrester, IDC, RedMonk"; preferred experience with "category creation, major market repositioning efforts".Source
• Your websiteAI pages: AgentControl ("Control AI agents in Production"), AI evaluation, AI agent governance, AI observability, EU AI Act governance, an AI engineers persona page, "the AI control gap", agent integrations, and hands-on "Runtime Labs" sessions on AgentControl. The site also mentions a 2025 LaunchDarkly experimentation report and a warehouse-native experimentation session with Snowflake.Source
• Public profilesFounded 2014, Oakland. Customers named on the site include Block, GoPro, Ally, Nationwide, Hulu, Samsara, GM and Volvo; G2 review badge; a trust center; the YouTube channel has about 3,960 subscribers.Source

Email each account a monthly report: flags unchanged for 30 days, flags safe to remove, and one feature of the paid plan that would help. Track upgrades.

Useful reports keep free accounts active and show the value of paid features at the right moment.

• Email fatigue

  Monthly at most, with an opt-out.

• Your websiteCurrent pricing page: Developer is "Free to start" with "Unlimited seats" and "No per-seat pricing"; Foundation is pay as you go at "$10 per Service Connection / mo" and "$8.33 per 1k client-side MAU / mo" (billed yearly) with 5k AI runs included and "$5 per additional 1k runs"; Enterprise is custom; Guardian is a paid add-on for release monitoring and automatic rollback.Source
• HiringSenior Growth Marketing Analyst (posted September 11, 2026): "our Product-Led Growth (PLG) motion is evolving rapidly"; the analyst will "decode the digital body language of our prospects and users", distinguish "technical practitioner actions (e.g., SDK deployment) from broader enterprise intent (e.g., security evaluations)", define the "next best action" for each account, run growth experiments, and keep "proper tag/tracking setups across web properties".Source

Cut each recent event into three to five short clips (one problem, one answer), post them weekly on YouTube and LinkedIn, and link back to the full session.

Short clips reach engineers who would never register for a webinar, at almost no cost.

• Low views

  Test titles and topics before scaling.

• Public profilesFounded 2014, Oakland. Customers named on the site include Block, GoPro, Ally, Nationwide, Hulu, Samsara, GM and Volvo; G2 review badge; a trust center; the YouTube channel has about 3,960 subscribers.Source
• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source

Publish a step-by-step migration kit (SDK swap, config import script, rollout plan), a game-studio story, and run ads to Remote Config documentation readers.

Removing switching effort turns a comparison page into actual migrations.

• Small accounts

  Target studios with live games.

• Your websiteComparison pages: LaunchDarkly vs Unleash, Statsig, Datadog, Harness, Optimizely and Firebase Remote Config, plus a build-vs-buy page. None compares LaunchDarkly with GrowthBook, PostHog or Flagsmith, or AgentControl with AI evaluation and observability tools.Source
• Your websiteSitemap (2,026 URLs, checked October 21, 2026): 1,272 blog posts; 36 case studies, the latest from August 2026, including Saxo Bank, Vestiaire Collective, Admiral, Vodafone, Dior, Coles, CCP Games and Fi Money, and one AI-specific story (Hireology AI). Older event archives remain: 85 Trajectory pages last updated January 2023, 31 Galaxy pages from December 2022, 27 Galaxy 2023 pages and 23 Summit 2024 pages. Virtual events include EMEA and APAC workshops and one French-language session.Source