Persona
Who it is
Name the role, sector, situation, and beneficiary.
The 9010 growth model
AAARRR helps your team see how a specific persona moves from recognition to acquisition, first value, retention, revenue, referral, and viral loops. The job, owner, intervention, metric, and evidence can change by persona and sector.
The value chain
Persona names who is in the situation. JTBD names the progress they want. Theory of Change explains how your product or scalable service could cause that change. Brand creation makes the promise and proof recognizable. AAARRR measures how value is discovered, experienced, repeated, exchanged, retained, and referred.
Who it is
Name the role, sector, situation, and beneficiary.
What they want done
Capture progress, struggle, workaround, and evidence.
How change is caused
Link activities to customer and business outcomes.
How value is signaled
Turn promise, proof, personality, and service into trust.
How value scales
Measure first value, repeat value, exchange, revenue, retention, and referral.
SaaS example: an operations manager wants to prevent late projects; weekly risk reviews should reduce escalations; the brand promises calm, competent delivery; AAARRR measures the first resolved risk, repeat weekly use, subscription revenue, renewal, and a permissioned champion referral.
Choose your working depth
Both founder paths answer the same AAARRR questions: what behavior proves each stage, what evidence supports it, who owns it, what guardrail applies, and what decision follows. The difference is where the founder starts and how much context the platform supplies.
Build one complete, evidence-backed journey without needing prior growth vocabulary.
Start here: Choose one persona, one customer situation, and one sector. Treat unknowns as research tasks, not failures.
Hard question: What did a real customer do or say, and what must I test next?
Concrete example: For invoicing SaaS, start with Sarah sending one accepted invoice, then measure whether she returns to bill again before designing a larger growth engine.
Reuse hard-won experience without letting past success hide changed assumptions.
Start here: Bring prior cohort, pricing, retention, and delivery evidence. Compare the new venture with the old one, but do not assume the same buyer or channel will behave the same way.
Hard question: Which prior assumption is no longer safe, and what evidence would disprove my current plan?
Concrete example: For delivery SaaS, prior logistics experience may identify the pain quickly; the new proof still needs to show that a different buyer will adopt, retain, pay, and expand the platform.
A founder may answer “unknown,” but must name the next evidence-gathering action. A polished assumption cannot pass as activation, retention, revenue, or scale proof.
Cross-stage decision module
Raising is not a seventh AAARRR stage. It is a readiness gate across the journey: can you identify a real customer, make a fair offer, acquire and activate accounts, deliver the promise, retain value, and explain the economics and risks?
JTBD, TAM/SAM/SOM, Porter, PESTLE
Brand, 7Ps, ToC, LTV/CAC
Story, AAA, AAARRR, loops
Blueprint, Fogg, COM-B
Cohorts, health, AAARRR
Blueprint, 7Ps, loops
All 21 tools + experiments
Investor test: every claim should link to a tool, evidence source, cohort or metric, owner, risk, and next action. The output is “ready for investor review,” “evidence incomplete,” or “do not raise yet”—never a promise of funding.
Open the founder readiness workshopsPersona pipeline
For each persona, define the activation event and TTV, compare retention cohorts, connect revenue to margin and MRR or repeat purchase, then decide which referral or viral loop deserves the next experiment.
Who should know you exist?
Build credible reach across owned, earned, and social surfaces, then connect every publication to the campaign that created it.
Example: A project-management SaaS publishes a delivery-risk guide that operations managers recognize as relevant before they visit the product.
See stage modules 02How do interested people become known contacts?
Turn attention into consented leads with landing pages, forms, CRM records, campaigns, and attributable channel journeys.
Example: The operations manager downloads the guide, consents to follow-up, and books a demo with the source campaign recorded.
See stage modules 03How does a customer reach first value?
Coordinate the first meaningful action: a demo, conversation, activation, purchase intent, event check-in, or successful handoff to a human.
Example: The team connects a live project, identifies one delivery risk, assigns an owner, and resolves it within seven days.
See stage modules 04Why do customers stay and return?
Ground follow-up in customer knowledge, resolve issues with context, and give teams the workflows to protect customer health and time to value.
Example: The team returns weekly to review active projects, receives help when usage drops, and renews because the workflow remains useful.
See stage modules 05How does demand become collected, profitable revenue?
Connect offers, payment links, orders, fulfilment, margin, and customer conversations so marketing is accountable for the commercial outcome.
Example: The activated workspace converts to a paid plan whose amount, source, activation cohort, MRR, margin, and payment status are recorded.
See stage modules 06Who brings the next customer?
Turn satisfied customers, sellers, distributors, creators, and partners into attributable growth loops with clear incentives and evidence.
Example: A champion invites another operations team and the referral link records the new workspace and incentive cost.
See stage modules 07What makes useful growth compound?
Design a customer benefit, shared artifact, invitation, or network behavior that brings in more relevant users without trading away trust.
Example: A shared SaaS delivery dashboard helps a customer invite another team, and the invitation creates a new qualified workspace.
See stage modulesIntervention catalogue
9010 agents use this catalogue to recommend the right intervention for a persona and market context. The catalogue includes content, summits, webinars, field immersions, partner motions, customer support, commerce, and advocacy loops.
Create informed attention around the problem and the brand point of view.
Sectors: all · Products: service, software, consumer, industrial
Research signals: category confusion, weak differentiation, new market education
Convene the market and capture attributable stakeholder interest.
Sectors: saas, financial-services, manufacturers, agencies · Products: software, service, industrial
Research signals: high-consideration purchase, stakeholder education, ecosystem fragmentation
Turn expertise and proof into repeatable discovery.
Sectors: all · Products: software, service, consumer
Research signals: information gap, trust requirement, remote buying motion
Make the product tangible and collect consented local evidence.
Sectors: brands, retail, manufacturers, distributors · Products: consumer, physical-product
Research signals: low product familiarity, trial barrier, local trust network
Exchange useful value for a consented, attributable relationship.
Sectors: all · Products: software, service, consumer
Research signals: urgent job, self-diagnosis need, comparison shopping
Convert event interest into owned contacts and attendance.
Sectors: all · Products: software, service, industrial
Research signals: stakeholder group buying, education before purchase, event intent
Extend reach through trusted channels with clear attribution.
Sectors: brands, manufacturers, distributors, agencies · Products: consumer, physical-product, service
Research signals: distribution gap, trusted intermediary, territory expansion
Create relevant conversations without losing consent, ownership, or cost visibility.
Sectors: all · Products: software, service, industrial
Research signals: named-account motion, known customer list, market research need
Move a qualified contact to a defined first-value event.
Sectors: saas, agencies, financial-services · Products: software, service
Research signals: time-to-value risk, implementation anxiety, proof request
Capture participation, intent, preference, and next action in the same workflow.
Sectors: brands, retail, manufacturers, distributors · Products: consumer, physical-product
Research signals: trial barrier, usage uncertainty, retail execution gap
Let an agent discover intent and give a human the complete context to close.
Sectors: all · Products: software, service, consumer
Research signals: complex questions, high-value lead, need for reassurance
Reduce perceived risk with evidence from a comparable customer.
Sectors: all · Products: software, service, industrial
Research signals: trust gap, risk objection, peer proof request
Protect customer progress, health, renewal, and time to value.
Sectors: saas, financial-services, agencies · Products: software, service
Research signals: usage decline, renewal window, unresolved outcome
Resolve issues consistently while preserving evidence and human escalation.
Sectors: all · Products: software, service, consumer, physical-product
Research signals: repeated question, support backlog, policy uncertainty
Create repeat engagement and peer learning around customer progress.
Sectors: saas, personalities, agencies, brands · Products: software, service, consumer
Research signals: belonging need, peer learning, repeat-use opportunity
Re-enter the conversation with a relevant reason and measurable next step.
Sectors: all · Products: software, service, consumer
Research signals: inactivity, seasonal return, preference change
Make the commercial action clear, attributable, and measurable.
Sectors: all · Products: software, service, consumer, physical-product
Research signals: purchase intent, budget window, pricing question
Connect field demand to stock, order, payment, and fulfillment proof.
Sectors: brands, retail, manufacturers, distributors · Products: consumer, physical-product
Research signals: stock availability, territory opportunity, conversion gap
Grow customer value from an evidenced next need.
Sectors: all · Products: software, service, consumer
Research signals: adjacent job, capacity increase, account maturity
Make partner-sourced revenue and incentive cost visible.
Sectors: manufacturers, distributors, agencies, brands · Products: service, consumer, physical-product
Research signals: partner demand, channel margin, territory expansion
Turn a proven customer outcome into a permissioned growth asset.
Sectors: all · Products: software, service, consumer, physical-product
Research signals: satisfaction event, measurable outcome, trust transfer
Scale trusted distribution with attribution, enablement, and payout rules.
Sectors: manufacturers, distributors, saas, agencies · Products: software, service, physical-product
Research signals: ecosystem leverage, implementation demand, market entry
Give advocates a stage and create the next wave of qualified demand.
Sectors: all · Products: software, service, consumer, industrial
Research signals: community strength, visible success, peer influence
Make a relevant customer result easy to share and attribute.
Sectors: personalities, saas, brands, agencies · Products: software, service, consumer
Research signals: share intent, network effect, identity expression