grow · 40 workflows
Funnels. Activation. Churn. Content.
Adaptable analyses for funnels, activation, retention, experiments, and revenue. Each example starts from verified business signals rather than generic benchmarks.
- beginner · 5 minutes ★ featured
Measure a verified three-step signup funnel
Map three ordered lifecycle events to live project signals, run the canonical funnel blueprint, and explain drop-offs without inventing causes or benchmarks.
#analytics#funnels#onboarding#activation#product - intermediate · 10 minutes
Analyze an existing product experiment
Compare verified exposure and outcome signals across variants, surface readiness and sample problems, and prepare an evidence-first decision memo.
#analytics#experimentation#product#revenue#feature-flags - advanced · 10 minutes
Calculate campaign payback by cohort
Tie acquisition campaigns to paid conversion, revenue, and retention so marketing and finance can see which campaigns pay back.
#analytics#marketing#revenue#cohorts#acquisition - intermediate · 5 minutes
Compare checkout payment methods
Break down checkout completion, failures, and latency by payment method so growth teams know which option hurts revenue.
#analytics#checkout#payments#ecommerce#conversion - beginner · 3 minutes
Find docs searches with zero results
Capture failed docs searches and connect them to activation, support load, and API adoption so docs work targets real blockers.
#analytics#documentation#devtools-api#content-marketing#activation - intermediate · 5 minutes
Track dunning recovery from failed invoices
Measure failed-payment recovery from invoice failure through retry, card update, recovery, or cancellation for subscription revenue.
#analytics#revenue#stripe#dunning#churn - intermediate · 5 minutes
Find feature entitlement friction
See which locked features users try to access, which plans hit upgrade prompts, and where entitlement gates create conversion opportunities.
#analytics#feature-flags#pricing#expansion#product - intermediate · 5 minutes
Revenue-weight feature requests
Rank feature requests by account value, usage pain, and renewal risk so product and GTM teams can prioritize with context.
#analytics#revenue#product#roadmap#customer-success - intermediate · 5 minutes
Measure landing-page source quality
Compare acquisition sources by activation, retention, and paid conversion instead of only measuring clicks or signups.
#analytics#acquisition#marketing#activation#retention - intermediate · 7 minutes
Detect lifecycle email fatigue
Correlate email volume, opens, clicks, unsubscribes, activation, and churn to find where lifecycle messaging helps or hurts.
#analytics#email#lifecycle#churn#marketing - intermediate · 5 minutes
Find marketplace zero-result searches
Identify marketplace searches with no matching supply so product and ops teams can fix demand-supply gaps faster.
#analytics#marketplace#search#activation#product - beginner · 3 minutes
Find onboarding checklist drop-off
Analyze checklist and setup-step completion so product and CS can see exactly where new users or accounts stall.
#analytics#onboarding#activation#funnels#b2b - intermediate · 5 minutes
Find permission-denied friction in B2B apps
Surface users and accounts repeatedly hitting 403s, role gates, or missing-seat paths so product can fix admin and permission UX.
#analytics#b2b#permissions#product#activation - intermediate · 5 minutes
Find plan fit and overage opportunities
Identify accounts close to limits, repeatedly over quota, or paying for capacity they do not use so revenue teams know who to help.
#analytics#revenue#expansion#quotas#b2b - intermediate · 5 minutes
Measure referral quality, not just invites
Track invite sent, invite accepted, activation, and retention so product teams know whether referrals create valuable users.
#analytics#referrals#activation#retention#growth-loop - intermediate · 5 minutes
Measure returns and exchange outcomes
Follow returns from request to refund or exchange so ecommerce teams can reduce avoidable churn and protect revenue.
#analytics#ecommerce#retention#revenue#support - intermediate · 5 minutes
Track SDK adoption after release
Measure whether developers upgrade to a new customer-facing SDK version after launch and which accounts remain behind.
#analytics#deploys#sdk#releases#devtools - beginner · 4 minutes
Track waitlist to activation
See which waitlist cohorts convert after invite, where they stall, and whether invite timing changes activation quality.
#analytics#waitlist#activation#onboarding#acquisition - advanced · 15 minutes
Identify early behaviors associated with retention
Compare predefined first-window product behaviors with later retained activity, quantify associations, and design a validation step without declaring a magic cause.
#analytics#activation#retention#onboarding#product - intermediate · 5 minutes
Find which products silently kill conversion
Per-SKU funnel from product view to purchase. Surface products that convert below their category average — fix the laggards instead of generic PDP tweaks.
#analytics#funnels#product#ecommerce#conversion - intermediate · 3 minutes
API quota usage as engagement and upsell timing
For each customer on a usage-based plan, show daily call volume as % of cap. Flag accounts approaching 80% — the perfect upgrade moment.
#analytics#api-quota#expansion#devtools-api#b2b - beginner · 5 minutes
Measure cart-to-purchase drop-off
Map three verified ecommerce events, run the canonical ordered funnel, and separate measured checkout loss from hypotheses about payment, shipping, or UX.
#analytics#funnels#ecommerce#checkout#cart-abandonment - intermediate · 2 minutes
Is checkout too slow?
Compute p50/p90/p99 of checkout duration split by mobile and desktop. Mobile p99 is usually 4-8x worse than desktop p50.
#analytics#checkout#ecommerce#performance#posthog-alternative - advanced · 15 minutes
Identify behavioral churn-risk signals
Compare pre-renewal behavior for retained and canceled customers, quantify associations, and prepare a reviewed risk hypothesis without claiming prediction.
#analytics#retention#churn#revenue#customer-success - intermediate · 15 minutes
Prepare a cancellation survey for human review
Verify the cancellation signal, review a minimal survey and targeting rule, and summarize bounded responses without inventing benchmarks or contacting customers.
#analytics#surveys#churn#customer-research#privacy - intermediate · 5 minutes
Track engagement during enterprise POCs
Daily engagement per account for active POCs. Flag any account that has gone quiet for 3+ days so AEs can act.
#analytics#sales#enterprise#b2b#account-health - intermediate · 5 minutes
Track buyer-seller dispute frequency per seller
Per-seller disputes ÷ transactions over 90 days. Surface the top-decile dispute-drivers proactively — proactive review costs less than reactive churn.
#analytics#marketplace#trust#b2c#customer-support - intermediate · 5 minutes
Which doc page leads to the most API adoption?
Funnel from a docs page view to first api_request by the same distinct_id within 7 days. Per-doc-page breakdown — find the highest-leverage page in your docs.
#analytics#funnels#devtools-api#content-marketing#documentation - intermediate · 2 minutes
Find quiet paying accounts before they churn
List paying accounts with zero events in 14 days. Sort by ARR. Get personalized outreach drafted in one prompt.
#analytics#churn#early-warning#retention#b2b - advanced · 10 minutes
What behaviors predict an account will upgrade?
Compare upgraders vs flat users from last quarter. Find the pre-upgrade behaviors that most strongly predict expansion.
#analytics#expansion#cohorts#growth-loop#b2b - intermediate · 5 minutes
How fast was the new feature picked up?
Track time-to-first-use for a newly launched feature, split by trial vs paying user. The 2-week post-launch reality check.
#analytics#feature-adoption#launches#growth-loop#product - intermediate · 5 minutes
Email click to first in-app action conversion
Join UTM-tagged email opens to the in-app action they were meant to drive. Grade onboarding emails by behavior change, not click rate.
#analytics#funnels#email#onboarding#content-marketing - intermediate · 10 minutes
Identify your most engaged users and accounts
Rank pseudonymous users or accounts with a reviewed product-value definition, keep identities private, and use the result as research evidence rather than an outreach command.
#analytics#retention#customer-success#product-research#privacy - intermediate · 5 minutes
Push notification: sent → opened → action conversion
Joined funnel from push provider's send webhook through open through in-app action. Per-campaign breakdown — what marketing platforms refuse to show you.
#analytics#funnels#push-notifications#mobile-app#retention - intermediate · 3 minutes
Find accounts paying for 10 seats but using 3
Compute seat utilization per B2B account and flag low-use payers. Catch downgrade risk and surface expansion-conversation accounts.
#analytics#expansion#seat-utilization#b2b#account-health - intermediate · 5 minutes
Compare self-serve vs sales-led user lifecycles
Split your funnel by how the user arrived — pricing-page vs demo. Compare activation, retention, expansion side by side.
#analytics#cohorts#segmentation#b2b#sales - intermediate · 10 minutes
Measure seller activation from profile to first sale
Run a verified three-step supply-side funnel and separate measured seller progression from unproven assumptions about listing friction or marketplace demand.
#analytics#funnels#marketplace#supply-side#activation - intermediate · 5 minutes
Why did this account drop from pro to free?
Find accounts that downgraded in the last 30 days and compare their behavior before vs after. The soft-churn signal nobody tracks.
#analytics#churn#downgrade#b2b#retention - intermediate · 3 minutes
Track trial-to-paid conversion by acquisition source
Build the trial-to-paid funnel split by acquisition source. Surface the channel that converts 8x better than the rest.
#analytics#funnels#trial-conversion#saas#acquisition - beginner · 10 minutes
Draft a weekly changelog from verified product signals
Turn exact, source-backed weekly aggregates into a human-reviewed changelog draft without exposing user identities, inventing causality, or auto-publishing.
#analytics#content-marketing#weekly-review#founder-mode#saas
Adapt a workflow in your own agent.
Send this to Claude Code, Cursor, Codex, or any coding agent. It uses the HTTP API, sets you up, and adapts the workflow to your saved signal map and query blueprints.
Agentry gives coding agents production context from errors, product analytics, and deploys through one HTTP API. Fetch and read https://agentry.sh/install.md completely, then install Agentry's full first-time telemetry baseline in this repository. I authorize device-code login, saving the owner key only to ~/.agentry/credentials.json, creating one Agentry project for this repository, and read-only inspection of shipped source plus hidden CI/provider configuration. Deeply analyze the product's business logic and complete value flow before choosing telemetry. Save the complete source-backed plan and show me its exact contents and hash. Until I explicitly approve that plan or request a replacement, do not edit app/CI source, place runtime/CI credentials, commit, exercise product traffic, start proof, push, or deploy. After approval, I authorize only the reviewed targets: place the required scoped browser/server/CI credentials through the established environment or secret mechanism, preserve existing telemetry, implement and test the baseline, commit it, push that reviewed commit when the shipped CI/provider path requires it, exercise safe proof paths with test/non-customer data, and perform one deployment through the reviewed shipped CI/provider path. Ask first if proof would charge money, contact a third party, change real customer data, or require new external access. After the plan is saved, immediately before every onboarding state-changing POST, GET current onboarding state, perform only its single returned next_action, then read state again; do not batch or infer later stages. Continue until status is verified, installation_complete is true, and next_action is null. Keep all secrets, source snapshots, proof markers, and scratch files outside the repository.
- 1. Open your repo in Codex, Claude Code, Cursor etc.
- 2. Paste the install prompt.
- 3. Your agent reads the install doc and shows you an implementation plan for approval.