Search

The few decisions that grow the business, each backed by the actual numbers.

One stage computes every number from your data. The other writes the few decisions worth your attention.

How Decifer adapts to the sector you actually operate in.

Field notes on reading marketing data honestly, written to teach, not to sell.

Where figures come from, what is never invented, and how your data is kept.

A live, signed-out look at the decision stream. No login needed.

Two steps, mostly taps. Connect your data and get your decisions.

What we collect, why, and what we never do with it.

The terms of using Decifer Marketing.

The agent that reads your site, fixes what is broken, and proves it worked.

SEO and AEO today; GEO for AI search is on the way.

Segment, reactivate dormant customers, and grow the active base.

Lifetime value and cohorts, computed from your own data.

Find and fix the friction losing you conversions and revenue.

Reward economics, tiering and redemption that lift repeat spend.

Reach, engagement and content performance across channels.

Spend efficiency and pacing, with budget moved to what works.

Where the marketing budget is planned vs spent, how hard it works, and its return.

Headcount, capacity, capability and the operating maturity index (OMI).

Agency and vendor scorecards: SLA adherence and dependency concentration.

Share of voice, coverage quality, and creative win-rate and production efficiency.

Forecast and pace-to-plan: where the quarter lands and the gap to close.

Games, watches, multi-brand stores: the full growth stack, organised by category.

Many brands, one decision stream, comparable and rolled up to a group view.

Long consideration journeys, demand by model, and lead quality over lead volume.

Project-based marketing, qualified demand per project, judged against its own stage.

Many brands sold through others, connecting marketing spend to channel sell-through.

Last-click attribution, revenue-based LTV, blended CAC, platform ROAS and social vanity metrics.

Assistant referrals, share of answer and branded search lift, and what none of them can prove.

The five reasons Meta, Google and TikTok add up to more than your real revenue.

Matching markets, run length, and reading the confidence interval instead of the headline.

Why one averaged cost-to-acquire number buries a winning channel and protects a losing one, and how to split it by channel, cohort and cost basis.

The formula for MER and for ROAS, why platform ROAS adds up to more than MER, and how to set an MER target from your gross margin.

What incrementality measures, how it differs from attribution and A/B tests, and when to use a regional test, a platform lift study, an on/off test or a mix model.