Pick the attribution method that matches your data reality
Helps teams decide when multi-touch attribution (MTA) is still useful vs when to lean on marketing mix modeling (MMM) or incrementality testing. Produces a decision with justification, a minimum data requirements checklist, and a 30-day validation plan.
Decide MMM vs MTA vs hybrid for this business. Output: - Recommendation with rationale (why this method fits and alternatives don't) - What questions it answers / doesn't answer - Data checklist (what's required before implementation) - A 30-day validation plan (small pilots to confirm feasibility) Inputs: - Monthly spend by channel: - Monthly conversions + average order value: - Sales cycle length: - Tracking limitations (consent, iOS share, cookie loss): - Reporting needs (daily optimization vs quarterly planning):
This recipe prevents wasted months implementing attribution systems that can't work with your traffic volume,
privacy constraints, or channel mix.
Rebuild measurement around first-party data, consent, and signal loss
Create a privacy-first measurement architecture that accepts signal loss as permanent: define a durable KPI stack, implement consent-aware tracking priorities, and choose when to use modeled vs deterministic data. Outputs a blueprint plus an implementation backlog for a quarter.
Diagnose missing conversions and "flying blind" measurement fast
Use this when the numbers don't match: ad platforms over/under-report, GA4 looks off, CRM revenue doesn't reconcile, or privacy changes (ATT/cookie loss/consent) have degraded tracking. It produces a root-cause shortlist, a "what to trust" guidance note, and a prioritized fix plan.
Pick 1–3 channels and actually stick with them
Turn channel confusion into a structured playbook: select channels, define posting cadence and messaging pillars, and set minimum viable measurement — so marketing becomes consistent instead of sporadic.
Turn scattered posting into a clear content system
Helps creators define 3–5 content pillars, a repeatable set of formats, and a clear audience promise. Built for creators who feel "all over the place" and struggle to build momentum.