Same system.
Configured for your commercial model.
Acquisition, Activation, Retention and Intelligence apply everywhere. What changes is how they combine — because B2B pipeline economics and B2C transaction economics reward different sequencing, different evidence and different operator playbooks.
Different economics. Same operating system.
Neither model is simpler than the other. Both require reconciled evidence, disciplined sequencing and senior operators. The differences are structural — and they change what Attributed builds first.
Pipeline economics.
- Buying committees, months of consideration, senior signatories
- Revenue recognised at close and expansion, not at form fill
- Sales and marketing must share definitions, evidence and cadence
- CRM is the evidence spine; account-level story matters more than lead volume
- Retention is contract renewal and expansion, not repeat purchase
Transaction economics.
- Fast, mobile-first, platform-noisy demand
- Revenue recognised at order or subscription — first and repeat behave differently
- Ad platforms over-claim; commerce, analytics and finance rarely agree
- Commerce or booking system is the evidence spine; cohort behaviour drives margin
- Retention is repeat rate, reactivation and second-order economics
Same words. Different work.
Acquisition means one thing when a Google Ad click leads to a checkout, and something else when it enters an eighteen-month buying committee. The connected system understands both.
Paid, SEO, content and outbound coordinated against SQL and pipeline value. Buying committees mapped and served consistently across channels.
Landing pages, forms and demo flows rebuilt around senior-buyer objections. MQL scoring re-scored against SQL-to-close, not form fill.
Expansion, cross-sell and net revenue retention treated as marketing responsibilities, not customer success afterthoughts.
CRM as evidence spine. Attribution windows aligned with long, multi-touch cycles — not last-click.
Full-funnel media reconciled against orders or invoiced revenue — not GA4 sessions. Creative measured against first- and second-order revenue.
PDP, cart and checkout diagnostics — mobile-first. Landing pages built for high-intent, not aggregate traffic.
Cohort economics by acquisition channel and offer. Lifecycle redesigned around cohort decay, not the send calendar.
Commerce or booking platform as evidence spine. Platform-claimed vs actually-landed revenue reconciled continuously.
Pipeline you can defend.
Multi-channel demand engineered around SQL and pipeline value, not MQL vanity.
Named-account plays coordinated across paid, content, sales and CRM — measured against opportunity value.
Free-trial, PLG and sales-led motions attributed against ARR, expansion and net revenue retention.
Long consideration cycles, senior buyers, high-value engagements. Positioning, authority and pipeline that reflect that.
Revenue you can attribute.
Attributed acquisition, checkout activation and second-order retention across Shopify-first stacks.
High-intent enquiry generation for service categories — measured against booked and completed jobs, not clicks.
Trial-to-paid, churn, reactivation and LTV modelled honestly against acquisition cost.
Two-sided demand attribution — supply liquidity, demand acquisition and retention modelled together.
How the system plugs in.
Acquisition, Activation, Retention and Intelligence as one operating system.
The reconciled evidence graph and prioritised findings that connect every capability.
Diagnose, prioritise, implement, validate, improve — findings close when the number moves.
Not sure which one is you?
A Growth Review starts by mapping your commercial model — then the system is built around it.