tastylive produces research every trading day, but the episode pages tell search engines and AI assistants almost nothing about it. A Market Measures study from October 13 is titled "Market Measures - Oct 13, 2026" with the meta description "content related to Market Measures"; Last Call is the same. A trader searching the topic of that day's study cannot find it, and every episode of a show looks identical in results.
First action
Rewrite the title and summary for this week's five Market Measures episodes.
How to measure it
Monthly organic visits to episode pages
- Now
- –
- Target
- +40%
- By
- 2 quarters
Steps
Agree the template
Title pattern, summary, takeaways, chapters.
Growth Marketing Director 1 day
Add the fields
Episode title and summary fields in the CMS, used for meta tags and markup.
Web Engineering Lead 3 days
Write daily
Research team drafts the summary when the episode airs.
Research Team Lead daily
Review
Compliance checks wording against the education-only disclosure.
Compliance daily
Backfill
2026 episodes of Market Measures and Last Call first.
SEO Lead 1 month
Measure
Impressions and clicks per episode in Search Console.
Analytics and Business Intelligence Manager monthly
Why it works
For each new episode, publish a topic title ("Market Measures: how often does a 16-delta strangle get tested?" style), a two-to-three sentence summary of the question studied, three key takeaways and chapter times, all written as education and reviewed against the existing disclosure. Use the same text for the page title, meta description, Episode markup and the YouTube description. Start with Market Measures and Last Call, then backfill the 2026 episodes.
A topic title turns a dated archive into thousands of findable answers, and the summary gives the new product marketer and the analytics team a way to tie topics to members and accounts.
Ready to use
CopyEpisode page fields
Title: <Show>: <the question the episode answers> Meta description: <one sentence on what was studied and why it matters> Summary: <2-3 sentences, education only> Takeaways: 1. ... 2. ... 3. ... Chapters: 00:00 ... 04:30 ... Disclosure: standard tastylive footer, unchanged Reviewed by: <compliance initials, date>
Risks and how to handle them
Summaries read as recommendations
Describe the study and its method, never a trade to place; compliance signs off on the template.
Daily workload
Keep it to three sentences and three takeaways.
Evidence
- Your websiteDaily episode pages carry no episode-specific text: the Market Measures episode of October 13, 2026 is titled "Market Measures - Oct 13, 2026" with the meta description "content related to Market Measures", and Last Call of October 21 is "Last Call - Oct 21, 2026" with "content related to Last Call". The page body repeats the show blurb; Market Measures is billed as "Market studies prepared daily by our expert research team".Source
- HiringEvery post describes IG North America as "home to tastytrade, tastylive, and tastyfx", founded in Chicago by the creators of thinkorswim and acquired by IG Group in 2021. "tastytrade is our retail brokerage for self-directed investing and trading, with tastylive providing content to educate our customers"; the team "produces live financial education content daily".Source
- HiringProduct Marketing Manager, Futures & Options (Chicago, posted September 23, 2026; reports to the Growth Marketing Director): runs "continuous, always-on adoption campaigns for futures and options", works to a "rolling feature-release calendar" across "in-app, email/push, help content", and will "Own messaging/positioning for futures and options as a single source of truth for Sales, Support, and Content".Source
- HiringAnalytics and Business Intelligence Manager (Chicago, posted September 30, 2026): the "primary analytics partner to Marketing, Product, Operations, and Finance, with direct ownership of the marketing analytics relationship (attribution, campaign performance, marketing measurement)"; owns the Tableau environment. A Data Engineer (posted October 20, 2026) builds pipelines in Snowflake, dbt and Airflow.Source