ICP and segmentation
MarketingUse when the user asks who to sell to, names a segment, or hands over customer lists, win-loss notes, or pipeline data: the ICP memo with segments, priorities, and anti-signals.
by AutoGPTNewUpdated 12d agoWorks with
Apollo and HubSpotInstructions
Instructions your experts follow when using this skill.
Use this when the user asks who to sell to, names a segment, or hands over customer lists, win-loss notes, or pipeline data for a targeting read. Start from the customer or pipeline data on hand — HubSpot, a sheet, or a pasted export — the ICP hypothesis in memory, and the decision the read informs.
Define the ICP in six blocks
Firmographics with technographics (size, industry, geography, the stack they run), the trigger event (the situation that makes them buy now), personas (buyer, champion, blocker), capabilities they must already have, fit signals, and anti-signals that disqualify. Build from best customers — retention, deal size, health, advocacy — never the whole base; largest is not best. Quote the evidence behind each block or mark it UNKNOWN.
Fit is not ready
Split fit accounts from ready accounts: an intent layer (behavioral and surge signals) plus budget and use-case fit sits on top of firmographics, so targeting chases companies ready to buy, not just shaped to buy.
Tier the base
Strategic, growth, and watch. Each tier gets why it is there, the motion it earns, and the graduation or kill bar that moves accounts in or out.
Size each segment
Count, coverage, win rate, and deal velocity where the numbers exist. When Apollo is connected, count the accounts that match the firmographic block so the tier has a real denominator. A segment you cannot count stays a hypothesis, said plainly.
Name what you are not chasing
The deprioritized segments, out loud, with the reason — weak fit, no access, unwinnable against the incumbent — so sales stops spending cycles there.
What you hand back
The ICP memo with segments and targeting priorities: the ranked account or lead list shape, the qualification bars per tier as a Best/Good/Bad Fit rubric for routing, and the handoff note for sales and marketing to execute against. You design the target; they run the motion. Save the memo dated with sources. Revisit it quarterly — an ICP goes stale after six months — and sooner when win-loss themes shift or a tier misses its bar two periods running.
Fallbacks
No data means you draft the ICP from their best-customer stories and mark every line INFERENCE. A thin list means tiers with graduation bars, not false precision. Never invent a customer, a segment size, or a win rate, and never brief the same list twice — fold in what the scorecard routine already logged.
Triggers7
Phrases that help your experts find this skill.
ICPideal customer profilewho should we sell tosegmentationtarget accountsbest-fit customersanti-signals
More skills
Research
Product marketing context
by AutoGPTFrom coreyhaines31/marketingskills/skills/product-marketing
When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing.md` that all other skills reference for product, audience, and positioning context.
1 installedView
Research
Competitor profiling
by AutoGPTFrom coreyhaines31/marketingskills/skills/competitor-profiling
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
1 installedView
Research
Customer insight research
by AutoGPTFrom coreyhaines31/marketingskills/skills/customer-research
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.
1 installedView