Posthog Pls Big Fish
PostHogOfficialPublished by PostHog
- Skill
- Workflow
- Business and productivity
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured process for Technical Account Executives (TAEs) to research, qualify, and initiate outreach to large companies (500+ employees) using PostHog on a free tier. It emphasizes data-driven qualification using Vitally and public information to ensure outreach is relevant, support-oriented, and free of aggressive sales tactics. The workflow guides the user through parsing lead data, analyzing account activity, identifying specific use cases, and drafting personalized, value-first communication.
What it does
- Parses Salesforce lead data to extract accurate company and contact information.
- Conducts firmographic research to assess Ideal Customer Profile (ICP) fit.
- Analyzes Vitally account data to determine user activity, roles, and product usage.
- Maps account activity to specific PostHog use cases like Product Intelligence or Observability.
- Recommends an appropriate engagement play: Outreach, Skip, or Nurture.
- Drafts personalized, support-first outreach emails with validated links.
When to use it
- When a TAE receives a 'big fish' alert from Salesforce for a large company on a free tier.
- When evaluating whether a new product-led lead warrants a high-touch outreach strategy.
- When needing to determine if an account is a duplicate or part of an existing organizational evaluation.
- When preparing to initiate contact with a technical user who has not requested sales assistance.
Advantages
- Reduces manual research time by standardizing the qualification process.
- Ensures outreach is grounded in actual product usage rather than generic sales scripts.
- Prevents redundant outreach by checking for existing accounts and active conversations.
- Maintains high credibility by avoiding reliance on potentially inaccurate enrichment data.
- Focuses on supporting the user's evaluation to build long-term trust.
Usage examples
- “Work this big fish lead: [Product-led] [email removed]”
- The agent parses the company as AcmeCorp, researches their firmographics, checks Vitally for user activity, and provides a recommendation on whether to reach out based on their usage.
- “Research this product-led lead: 1000+ employees no payment method”
- The agent identifies the account, analyzes the user personas and product segments, and drafts a support-first email if the account shows active evaluation.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/posthog/posthog-pls-big-fish/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip posthog-pls-big-fish.zip -d .agents/skills
Documentation by PostHog
PostHog Big Fish Lead Qualification & Outreach
Research, qualify, and recommend the right play for big fish product-led leads. These are large companies (500+ employees) that have signed up for PostHog and are using it on the free tier without a payment method.
What Makes Big Fish Leads Different
They didn't ask for help — you're reaching out proactively
They're already using PostHog — they have an account, possibly active usage
The goal is supporting their evaluation — and identifying real opportunities along the way. The TAE's job is to help these accounts get value from PostHog quickly. If PostHog is the right fit, the commercial conversation ($20K+ annual) will happen naturally once they're dependent on the product. Other teams handle free-to-paid conversion and churn prevention.
You need a specific reason to reach out — generic emails get ignored. Every outreach needs a hook grounded in what you actually know about their usage.
Core Workflow
Parse the lead — Read Salesforce fields. Watch for the subject concatenation bug:
[Product-led] [email protected]often smashes the company name and email together. Split at the@pattern to get the real email address.Research the company — Web search for firmographics, product, industry
Check Vitally — Account activity, users, products, conversations, notes
Identify the use case — Map to PostHog's six use cases based on company type and product usage
Qualify and recommend a play — Outreach / Skip / Nurture
Draft outreach — If outreach is recommended, write a support-first email with a specific hook
Validate all URLs — Fetch every link in the draft to confirm it resolves correctly
Step 1: Parse the Lead
Salesforce has a known bug where the subject line concatenates the company name and the person's email without a space. For example:
[Product-led] [email protected]→ Company: AcmeCorp, Email: [email protected][Product-led] Go [email protected]→ Company: Go Team, Email: [email protected]
Always parse the subject by finding the email address pattern (look for where @ appears and work backwards to the start of the local part). The company name is everything between [Product-led] and the start of the email.
Step 2: Research the Company
Use web search to gather:
What the company does (one-sentence summary)
Industry / vertical — is this ICP or not?
Company size (employees, engineering headcount if available)
Funding stage and recency
Does the company build software products with end-user UIs? This is table stakes for PostHog relevance. A company can have 5,000 employees but if they don't build software, PostHog isn't relevant.
Search queries to run:
[company name] what does it do
[company name] crunchbase funding
[company name] engineering teamCross-check Salesforce enrichment data against your research. The "500+ employees" matching criteria comes from Clearbit/Harmonic data in Salesforce, which frequently maps to the wrong entity — especially for companies with common names. A 10-person startup can get enriched with data from a completely different company with a similar name, showing 45,000 employees and $10B+ revenue. If your web research contradicts the Salesforce employee count, revenue, or founding year, trust your research and flag the discrepancy.
Step 3: Check Vitally
This is the most important step. The Vitally data determines whether this is a real evaluation or one person poking around.
3a: Find the Account
Search for the account in Vitally. The most reliable lookup method is user email via get_user_details. Account name search is unreliable. If the email lookup returns the user with their account, you have everything you need.
If the lead email returns nothing, try the posthog_org_id from Salesforce as a last resort — but note the search_accounts externalId filter is unreliable and may return unrelated results.
3b: Check Users in the Account
Use get_account_users on the account ID. This is the single most important qualifying signal:
1 user — One person exploring. Lower priority. Light touch outreach at best.
2+ users — Real evaluation underway. Multiple people means someone shared PostHog internally — organizational interest, not just curiosity. Treat with urgency.
3+ users with diverse roles/activity — Very strong. Active cross-functional evaluation. Prioritize.
For each user, note:
Email and name — who are these people?
Vitally segments — "Analytics Creator", "Replay User", "Feature Flag Creator", "Experiment Creator" etc. tell you exactly what they're doing
Last seen date — how recent is the activity?
Who's the org Owner? — this is usually the champion who initiated the evaluation
Signup velocity matters. If all users joined within a 1-2 week window, it's a coordinated evaluation. If they trickled in over months with gaps, it may have stalled.
3b-ii: Research Each User's Persona and Role
Mandatory. For every user in the account, research their actual job title and role. This changes the outreach strategy significantly — an Engineering Manager building a software product is a completely different conversation than a Marketing Ops person tracking a website.
How to research:
Check Vitally user traits first —
roleAtOrganization,sfdc.Role__c, andvitally.custom.calculatedTitlesometimes have useful dataCheck their LinkedIn profile URL if available in Vitally traits (
sfdc.Linkedin_Profile__c)Web search:
"[first name] [last name]" "[company name]" LinkedInIf the company has divisions or sub-brands, note which division the person works in — this can completely change the ICP assessment (e.g., an engineer on a SaaS product team within a services company is very different from a project manager in the services delivery business)
What to look for:
Exact job title — "Senior Software Engineer" vs. "AV Project Manager" tells you everything about ICP fit
Department / team — Engineering, Product, Data, Marketing, IT, Operations?
Which product or division they work on — especially important at large companies with multiple business units. The division they're in determines whether PostHog is relevant.
Seniority level — IC engineer, engineering manager, director, VP? This affects who you address the email to and how you frame the ask.
Report what you find for each user in the output. If you can't find someone's title, note that as an unknown.
Why this matters: Knowing that both users are engineers on a software platform team (strong ICP) vs. marketing analysts tracking a corporate website (weak ICP) is the difference between a Slack channel + outreach email and a skip. The persona research often overrides the company-level ICP assessment — a non-tech company can still have a strong PostHog use case if the right team is evaluating it.
3c: Check for Other Accounts on the Same Email Domain
Mandatory. Large companies often have multiple PostHog accounts on the same email domain. Search Vitally for other accounts that share the same domain using search_accounts or find_account_by_name with the company name, and check whether any other accounts have admin emails on the same domain.
Why this matters: Sometimes a user signs up and creates a new PostHog org when they actually meant to join an existing one that their colleagues already set up. This is especially common at large companies where one team is already using PostHog and a new person from a different team signs up independently.
What to look for:
Another account on the same domain that's more established (more users, more usage, already paying, has a TAE assigned) — If this exists, the new account may be a duplicate. The lead contact may have accidentally created a new org instead of joining the existing one. Flag this in your output — the right play might be connecting this person to the existing account rather than treating them as a new lead.
Multiple accounts with active, independent usage — Different teams evaluating PostHog separately. This is a strong organizational signal. Note which account is most active, which the lead contact belongs to, and whether there's an opportunity to connect the teams.
An existing account that's already being worked by another TAE — If the domain already has an account in someone else's book, coordinate with that TAE before reaching out. Don't create a competing relationship.
Report what you find: List all accounts on the domain, their user counts, activity levels, and whether they have a TAE assigned. If the lead's account looks like an accidental duplicate, recommend connecting the user to the existing org instead of outreaching to the new one.
3d: Check Conversations and Notes (Last 45 Days)
Mandatory. Use get_account_conversations and get_account_notes before deciding on a play.
If someone from PostHog has already reached out → coordinate, don't pile on
If the onboarding team has notes → read them for intel
If there are support conversations → learn what they're working on
If zero conversations and zero notes → flag this. The account is completely untouched. You're the first human contact.
3e: Check Gmail
Search for the company domain in Gmail to see if there's any prior email contact outside of Vitally.
Step 4: Identify the Use Case
Map to PostHog's six use cases based on what they're using and what the company does:
| Vitally Segments / Products Active | Likely Use Case |
|---|---|
| Analytics Creator, Analytics User, Surveys User | Product Intelligence |
| Feature Flag Creator, Experiment Creator | Release Engineering |
| Error Tracking User | Observability |
| Web Analytics usage | Growth & Marketing |
| LLM Observability usage | AI/LLM Observability |
| Data Warehouse, Batch Exports | Data Infrastructure |
If usage data is thin, infer from company type:
AI-native → AI/LLM Observability + Product Intelligence
PLG SaaS → Product Intelligence + Growth & Marketing
Developer tools → Release Engineering + Observability
E-commerce / marketplace → Growth & Marketing + Product Intelligence
Step 5: Qualify and Recommend a Play
Play: Outreach (Slack Channel + Support-First Email)
When the account has 2+ users AND active usage, they get the full treatment:
Create a shared Slack channel
Send a support-first email (see Step 6)
Also recommend outreach when:
The company is a reasonable ICP fit (builds software, has engineers)
$20K+ annual spend potential based on company size
No one from PostHog has already contacted them
Play: Skip
Recommend skipping when:
Not ICP. Company doesn't build software products (traditional retail, manufacturing, dealerships, etc.)
Account already being worked by another TAE or team.
Company size is misleading. "500+ employees" but they're a non-tech company where the engineering team is 3 people maintaining a website.
Play: Single User — Check Back (Don't Skip Immediately)
Do NOT disqualify a lead just because there's only 1 user right now. Big fish accounts often start with one person setting things up before inviting the team. It can take days or even a couple of weeks for additional users to show up.
When a big fish lead has only 1 user:
Check back in 1 week. Look at the account again — have more users been added? Has usage increased?
If still 1 user after 1 week, check back 1 more week. Same check.
If still 1 user after 2 check-backs (3 weeks total), then decide: send a light-touch single-user email, or deprioritize based on the overall picture (ICP fit, company size, activity level).
Tell the TAE when each check-back is due so they can set a reminder.
Play: Nurture (Watch, Don't Email Yet)
Recommend nurture when:
Good fit company but usage is very early — they signed up days ago and have barely done anything. Give them a week to get set up before reaching out.
The evaluation appears stalled (users signed up months ago, no recent activity). A different approach may be needed (LinkedIn, in-app survey, etc.).
Step 6: Draft the Outreach Email
Read references/outreach-hooks.md before drafting.
Key Principles (from https://posthog.com/handbook/growth/sales/getting-people-to-talk-to-you)
Your initial outreach isn't about you, it's about them. Do NOT lead with who you are, that you're attached to their account, or that you're "here to help." Lead with an observation about their usage. Your name goes in the signature — that's enough.
Lead with value in the first sentence. Make a specific observation about their setup drawn from Vitally data. If it takes a paragraph to get to the point, you won't get a response.
Avoid fluff. "I'm just reaching out to", "I just wanted to", "I'm here if you need anything", "Saw you just signed up" — cut all of it.
Ask yourself: if this landed in the sales@ inbox, would I even give it a second look? If not, rewrite.
Do NOT mention pricing, costs, volume discounts, enterprise features, SSO, or anything commercial. They opted to not talk to sales by self-serving. Respect that.
Mention the Slack invite naturally — not as the opening or centerpiece.
One open question at the end — easy to answer, about them.
Data Integrity Rule
Only reference things you can verify from Vitally usage data or the company's public website. Never cite enrichment data (tech stack fields from Clearbit, Harmonic, or Salesforce Company_tech__c) as fact in outreach. These fields are often stale, wrong, or refer to a different part of the org. If you state something about their stack in an email and it's wrong, you immediately lose credibility.
✓ OK to reference: Products they're using in PostHog, number of projects, which Vitally segments their users are in, what the company does (from their public website) ✗ NOT OK to reference: Tech stack enrichment fields, competitor tools from Salesforce data, anything you can't verify from actual usage or public information
Email Structure
Brief greeting ("[Company] team" or first name)
Specific observation about their usage — the first real sentence. Something from Vitally data.
One useful resource or suggestion connected to that observation
Slack invite mention (natural, not the hook)
One open question about them
Sign-off (name only)
Step 7: Validate All URLs
Mandatory. Before presenting the draft, fetch every URL in the email using web_fetch to verify it resolves and points to the intended content. If broken, search for the correct page. If no valid page exists, remove the link.
Output Format
When responding to the TAE, always provide:
Lead parsing — Corrected company name and email (note if the Salesforce subject bug applied)
Company research summary — What they do, size, funding, industry, ICP fit assessment
Vitally account summary — Users (count, roles, activity, last seen), products in use, health score, signup velocity, conversations/notes status
Use case assessment — Which of the six use cases this maps to
Recommended play — Outreach / Skip / Nurture, with reasoning
Draft email — If outreach is recommended
Critical Reminders
Parse the Salesforce subject carefully. The concatenation bug is common — always look for the email address and split there.
User email is the most reliable Vitally lookup. Account name search is unreliable. Always try the user email first.
User count is the #1 qualifying signal. 1 user = low priority. 2+ users = real evaluation. This overrides everything else.
Always check conversations and notes. Don't pile on if someone is already engaged.
Lead with an observation about them, not about you. Re-read the handbook: https://posthog.com/handbook/growth/sales/getting-people-to-talk-to-you
Never cite enrichment data as fact in outreach. Only reference what you can verify from Vitally usage or public sources.
The goal is not sales — it's supporting their evaluation. These people signed up for PostHog on their own. They chose to self-serve. They did not ask to talk to a salesperson. Your job is to help their evaluation go well — answer technical questions, unblock implementation issues, point them to the right resources, and make sure they can make a good decision about whether PostHog fits their needs. If PostHog is the right fit, the commercial conversation will happen naturally once they're dependent on the product. If it's not the right fit, helping them figure that out quickly is also a win. Never mention pricing, volume discounts, enterprise features, annual contracts, SSO, or anything commercial in the first outreach. No "your dedicated contact," no "I'm here to help you get started," no framing that sounds like a sales motion. It's completely OK to acknowledge that they didn't ask to talk to sales — being upfront about that disarms resistance.
Always validate URLs before presenting the draft.
Always research each user's persona and role. Don't draft an email without knowing who these people are and what they do. The persona research often changes the entire play.
Files
- .claude-plugin/plugin.json250 B
- ATTRIBUTION.mdAdded by AutoGineer868 B
- LICENSELicence file added by AutoGineer1.0 KiB
- README.md4.4 KiB
- SKILL.md17.9 KiB
- references/outreach-hooks.md7.2 KiB
- references/writing-style.md3.1 KiB
references/outreach-hooks.md
Big Fish Outreach Hooks & Examples
All outreach for big fish leads follows the same core rules from the handbook (https://posthog.com/handbook/growth/sales/getting-people-to-talk-to-you):
Lead with an observation about their usage, not about you
Value in the first sentence
No fluff, no self-introduction, no "saw you signed up"
No pricing, no sales language, no enterprise features
One open question at the end
The difference between single-user and multi-user leads is priority and treatment, not tone.
Single User in Account
Priority: Lower. One person exploring. May still be worth a light touch — especially if the company is 1000+ employees or a strong ICP fit.
Approach: Short, casual, one observation + one useful resource. No Slack channel.
Example:
Subject: Your PostHog setup
Hey [Name],
Noticed you got set up with PostHog recently — looks like you're starting to explore [product they're using, e.g., "Product Analytics" or "Session Replay"].
[One specific, useful resource relevant to what they're doing — e.g., "Here's a guide on connecting replay to funnel drop-offs — it's where most teams see the first real insight." or "If you're setting up event tracking, this guide on optimizing capture helps you get cleaner data from the start."]
What prompted you to check out PostHog?
[Your name]Multiple Users in Account (2+, Active)
Priority: High. This is a real evaluation. Create a Slack channel and send a support-first email.
Approach: The observation should reference something specific from Vitally — which products they're using, how many projects, what their team is doing. Link to one relevant resource. Mention the Slack invite naturally. End with an open question.
Example (broad product usage):
Subject: Your PostHog setup
Hey [Company] team,
Noticed your team has ramped up quickly across [specific products — e.g., "Product Analytics, Session Replay, and Feature Flags"] — that's a lot of ground covered in [timeframe, e.g., "a couple of weeks"].
Wanted to make sure you're set up to get the most out of each of those. [One relevant resource — e.g., "Here's a guide on connecting replay to your funnel analysis — it's where most teams see the biggest unlock."]
Also sent over a Slack invite — easiest way to get quick answers as things come up.
What prompted the evaluation?
[Your name]Example (analytics + replay focused):
Subject: Your PostHog setup
Hey [Company] team,
Noticed your team has been building analytics insights and watching session replays across [X] projects — looks like a thorough evaluation.
If you're ramping up replay, filtering sessions from funnel drop-offs is where most teams see the first big insight — you're watching the sessions that actually matter instead of a random sample. [Link to guide on connecting replay to analytics]
Also sent over a Slack invite — easiest way to get quick answers as things come up.
What prompted the evaluation?
[Your name]Example (single power user doing everything):
Subject: Your PostHog setup
Hey [Company] team,
Noticed [first name] has been putting PostHog through its paces — analytics, replay, feature flags, experiments, surveys. That's unusually thorough for a new setup.
[One relevant resource based on what they're most actively doing — e.g., "If you're running experiments, here's how to connect experiment results to your analytics funnels so you can measure downstream impact, not just the primary metric."]
Also sent over a Slack invite — easiest way to get quick answers as things come up.
What can I help with?
[Your name]Slack Channel Welcome Message
When you create a Slack channel for a multi-user big fish account, send a welcome message alongside the email. The Slack message can be slightly more conversational and direct than the email.
Key framing: It's completely OK to acknowledge that they didn't ask to talk to sales. Call it out honestly — you're not trying to sell them, you want their evaluation to go quickly. This disarms the "why is sales emailing me" resistance.
Sample Slack welcome message:
Hey [Company] team — your team has covered a lot of ground in PostHog already ([specific observation from Vitally, e.g., "analytics, replay, and feature flags across 3 projects"]). Wanted to make sure you have a direct line for questions as things come up.
Quick context: What prompted the evaluation? Are you replacing another tool, solving a specific gap, or exploring options?
Happy to help with technical questions, implementation, or just being a sounding board — async here or a call, whatever works.
[Your name]What works about this:
Leads with an observation about them, not about you
"Direct line for questions" frames it as support, not sales
Asks what prompted the evaluation — open, about them
Offers multiple ways to help without being pushy
Short and scannable
The Slack message and the email serve different purposes. The email should lead with a usage observation and link to something useful. The Slack message can be more conversational and directly ask what they're trying to accomplish. Send both — some people respond to email, some to Slack.
Data Integrity Rule
Only reference things you can verify.
✓ Safe to reference in emails (comes from Vitally usage data or public sources):
Which PostHog products they're actively using (from Vitally user segments)
Number of projects in their account
How many people are in the account and what they're doing
What the company does and builds (from their public website)
Recent funding rounds (from public press releases / Crunchbase)
✗ Never reference in emails (enrichment data that may be stale or wrong):
Tech stack fields from Salesforce (
Company_tech__c) — these come from Clearbit/Harmonic and are often outdatedCompetitor tools the company supposedly uses — unless you verified it on their public site or in their PostHog usage
Employee counts from Salesforce if they don't match what you found in research
Any "fact" about the company you can't point to a verifiable source for
If you state something in an email and it's wrong, you lose credibility instantly. When in doubt, leave it out.
Anti-Patterns (Never Do These)
"I'm [name], your dedicated PostHog contact" — they didn't ask for a contact. Your name is in the signature.
"Saw you just signed up" — they know when they signed up. This adds nothing.
"I'm here if you need anything" — too passive and generic. Say something specific or don't say it.
"Just checking in" — there must be a reason for the email. If you can't find one, don't send it.
Feature laundry lists — don't list every PostHog product. Reference the 1-2 they're actually using.
Mentioning pricing, costs, enterprise features, SSO, or volume discounts — this is not a sales email. It's a support-first introduction.
Bare URLs — always embed links in anchor text.
Citing enrichment data as fact — "I noticed you're using [competitor tool]" when that came from a Salesforce tech stack field, not from verified data.
Sending without research — if you can't explain what the company does in one sentence, you haven't researched enough.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- PostHog
- Publisher
- PostHog (Official)
- Source
- PostHog/skills · skills/team/new-business-sales/big-fish-lead · commit a5d30e7
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by PostHog or PostHog.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download posthog-pls-big-fish.zip