[ PACK LIBRARY / PACK 02 ]
Positioning, launch planning, and conversion work.
41 PLAYBOOKS — 3 OPEN AS FREE SAMPLES
The sample playbooks below are open in full. Unlock the pack once and every playbook here becomes readable, updates included.
Caal, Parker, Ridd, and Flow sequence a 4-6 week launch: positioning, then landing page and email, then social and ads, then directory and PR distribution, with a readiness audit before go-live. Every asset and wave has a named owner and a fixed slot in the sequence.
Caal and Parker produce a full AARRR growth plan tuned to current team size and funding stage, backed by customer research and a running experiment backlog with growth loops, analytics, A/B testing, and reporting wired in. The result is an operating plan detailed enough to defend to a board and specific enough for the team to execute against next week.
Caal and Parker run content clusters, programmatic pages, AI-citation optimization, and schema as an ongoing loop tuned for both Google and AI-answer engines, sequencing the audit with our own GEO skill before executing the broader third-party playbooks.
Caal and Parker define the ICP, build prospecting lists, draft cold-email sequences with deliverability guardrails, and wire the sales handoff and RevOps routing. The output is a prospecting queue with a defined sales handoff and deliverability checks.
Wayfinder settles the reusable operating decisions, Resend supplies consent-aware Contacts, Topics, Segments, and Broadcasts, and a capable drafting agent turns a complete evidence audit into one shared admin draft. Row locking, optimistic editing, and Broadcast reconciliation ensure multiple reviewers cannot send duplicate issues.
Caal designs the incentive structure, tracking plan, launch copy, and payout logic for a word-of-mouth growth loop, with pricing math to model unit economics as referrals scale.
Caal redesigns in-app upgrade and paywall screens around a real value metric and clearer framing, tightening the exact moment a free user decides whether to pay without touching the price itself.
Caal maps the first-run experience to an activation event and cuts signup friction, giving the team a defined point to measure.
Caal and Ridd scope a buildable free tool — calculator, grader, generator, benchmark — designed for backlinks and lead capture, specced and ready to hand to engineering as a durable top-of-funnel asset.
Caal designs a cancellation flow with save-offer logic and a follow-up win-back sequence for users who leave.
Caal and Parker spec a template plus data pipeline for generating hundreds of targeted comparison or location pages with correct architecture and schema, so long-tail traffic scales without hand-writing every page.
Caal and Ordi design an ambassador and advocate program for community-led growth, with Ordi grounding the mechanics against BSV/1Sat community behavior. The program defines incentives, cadence, advocate tiers, and referral hooks.
Caal and Parker run a full GEO/AEO pass — llms.txt, schema, machine-readable files, and citation-friendly structure — to give ChatGPT, Perplexity, and AI Overviews clearer product information, using our audit skills alongside the broader AI-SEO skill.
Caal runs a single-session CRO audit and returns prioritized, testable fixes ranked by expected impact, with a punch list and an explanation of which changes to test first.
Caal rewrites the homepage and runs it through a de-AI pass, removing flat corporate phrasing and giving the page a direct voice.
Caal tightens and de-clutters copy across an existing page set, fixing clarity, consistency, flow, and word choice without a full rewrite — the fast polish pass before a launch or a raise.
Caal and Parker produce a publish-ready comparison page grounded in competitor research and product profiles, with sources for each product claim.
Parker returns a diagnostic report on ranking drops, crawl errors, indexing problems, and site-speed regressions, so a traffic dip turns into a prioritized fix list with the likely cause named for each.
Caal implements structured data for rich results across the pages that matter, improving how the site renders in search and how AI engines parse it.
Caal drafts a full welcome drip run through a de-AI pass, sequenced and ready to load into your ESP. Each email arrives with its trigger and send timing set and reads like a person wrote it.
Caal writes the sequence and its follow-ups with an explicit send cadence and deliverability warning for review.
Caal critiques the pricing page and delivers a Van Westendorp survey ready to run, so the next pricing decision can use responses from target customers.
Caal and Ridd produce ten-plus platform-specific ad headlines, hooks, primary text, and matching visuals ready to load into a test, so the creative pipeline stops being the bottleneck on paid experiments.
Caal and Parker draft a week of posts in the founder's captured voice and run each through a de-AI pass before scheduling.
Parker pulls a cited summary of what's trending and what competitors are saying on X this week, so content and positioning can trace each finding to specific posts and accounts.
Caal produces the hypothesis and variant spec plus a stats plan covering sample size and test duration, so the plan specifies when to evaluate the result.
Parker returns a gap report on missing or broken events and attribution problems, so the numbers the rest of the team reports against are trustworthy.
Caal and Parker assemble a journalist list and pitch angles tailored to the story, so outreach starts from named reporters who cover your space and a hook written for each one.
Caal submits to a prioritized list of directories and tracks the resulting backlinks.
Flow and Caal produce a leave-behind sales asset built from real competitive research, so the sales team can point to sourced claims and side-by-side comparisons in the room.
Ordi snapshots community health — engagement signal, marketplace activity, price context, and X sentiment — for a BSV-native product, giving a crypto-native go-to-market a sourced view of its audience.
Caal writes the positioning-driven copy, Ridd designs the page, and Lisa produces the on-brand imagery — a fully designed landing page carried from message to final visuals through three named handoffs. The canonical Caal-to-Ridd-to-Lisa chain.
Parker gathers competitive research, Caal shapes the positioning, and Flow writes the sales one-pager, with each handoff adding a layer the next depends on, so the leave-behind rests on competitor research.
Parker pulls trend data, Caal builds the SEO/GEO strategy and a content calendar tuned for AI-answer citation, so every planned topic traces back to a cited search or social signal Parker surfaced.
Ordi reads the crypto-community pulse, Caal frames the campaign for that audience, and Parker develops the press angle, so the launch speaks to a crypto-native market in its own language and arrives with a press hook ready to send.
Parker scans trends, Caal drafts against the founder's captured voice profile and runs a de-AI pass before scheduling, creating a recurring content pipeline in the founder's voice.
Caal and Parker produce a fill-in-the-blank Ideal Customer Profile grounded in customer research, so every future copy, ad, sales, and onboarding task starts from the same documented picture of who you're selling to.
Caal captures a voice profile from the founder's writing so future drafts stay on-brand. The humanize pass and content playbooks use this profile.
Caal documents which channels the team runs, at what cadence, and who owns each one. A one-page channel plan the team can execute against.
Parker maintains a living competitor reference — positioning, pricing, messaging, and recent moves — that copy, sales, positioning, and strategy work all cite, so the team argues from one shared, up-to-date view of the market.
Caal documents the pricing rationale — tiers, value metric, packaging, offer structure — so downstream playbooks cite the same pricing decision.