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Measurement that holds up to scrutiny.

We build the measurement infrastructure that proves what's working — attribution modeling, BI dashboards, predictive LTV — and run continuous CRO programs on top of it. Decisions made on real data, not platform-reported ROAS.

// Measure what matters. Test what changes.

Why this matters

Why most marketing decisions get made on bad data.

Most marketing decisions get made on incomplete tracking, broken attribution, and surface-level dashboards. HubSpot says one number. GA4 says another. Meta says ROAS is 4x; real revenue contribution is 1.8x. The dashboard the team trusts is whichever one the loudest person opened that day.

Analytics & CRO is the discipline of rebuilding the measurement layer first, then running optimization on top of it. The order matters. Optimizing campaigns on broken attribution data produces worse outcomes than not optimizing at all — you scale the wrong things.

Once measurement is solid, conversion rate optimization becomes a high-ROI program. Most sites lose 30-60% of potential revenue at predictable points: confusing landing pages, friction in checkout, lead forms that ask too much, qualifier questions that disqualify good buyers. Real CRO finds those leaks and fixes them — measured against revenue, not just conversion rate in isolation.

How we work

From audit to outcomes.

01

Measurement audit and reality check.

We start with a full measurement audit: tracking accuracy, attribution model validity, event taxonomy, dashboard reliability. Most clients discover their reported numbers are 30-50% off from reality.

02

Rebuild the measurement layer.

Server-side tracking, Conversion API, Enhanced Conversions, multi-touch attribution. The measurement infrastructure that survives ad blockers, iOS privacy changes, and platform reporting drift.

03

Build BI dashboards that people actually use.

Executive dashboards in Looker, Metabase, or Hex. Built on a proper data warehouse — BigQuery or Snowflake. No more Excel exports, no more conflicting numbers across tools.

04

Run continuous CRO programs.

Landing pages, checkout flows, lead forms, product pages — tested every cycle. Winning variants ship; losing ones get killed within the test cycle. Test design is statistical, not anecdotal.

05

Predictive modeling where it adds value.

Predictive LTV by acquisition cohort, predictive next-purchase, churn modeling. Used to make better acquisition and retention decisions, not just to look sophisticated.

What you get

Six deliverables in every Analytics & CRO engagement.

Measurement audit

Full audit: tracking accuracy, attribution validity, event taxonomy, dashboard reliability, data warehouse health. Identifies where reported numbers diverge from reality.

Server-side tracking implementation

Server-side GTM, Meta CAPI, Google Enhanced Conversions, custom event APIs. The infrastructure that makes ROAS reporting accurate.

Multi-touch attribution modeling

Attribution models that reflect how buyers actually convert — including long sales cycles, multi-product purchases, and cross-device journeys. Not last-click.

Data warehouse and BI dashboards

BigQuery or Snowflake warehouse with dbt transformation layer. Looker, Metabase, or Hex dashboards for executives, marketers, and ops.

CRO program

Landing page, checkout, and form testing. Test design, hypothesis development, statistical analysis, deployment. Continuous cycle every 2-4 weeks.

Predictive analytics

LTV modeling, churn prediction, next-purchase scoring, customer cohort analysis. Used in acquisition and retention decisions.

Tools

The Analytics & CRO stack we know cold.

Tracking: GA4 · GTM · Segment · RudderStack · Server-side APIs
Attribution: Triple Whale · Northbeam · Custom multi-touch models
Data Warehouse: BigQuery · Snowflake · dbt · Fivetran · Airbyte
BI / Dashboards: Looker · Metabase · Hex · Retool · Mode
CRO Tools: GrowthBook · Convert · VWO · Hotjar · Microsoft Clarity
Engagement patterns

Where Analytics & CRO gets pulled into our work.

B2B SaaS rebuilding attribution from scratch

Marketing leadership doesn't trust the dashboard. Analytics & CRO rebuilds tracking with server-side GTM, implements multi-touch attribution that reflects long sales cycles, and ships an executive dashboard. Decisions get made on accurate data within 90 days.

DTC brand running continuous CRO program

Consumer brand has 1.8% conversion rate that hasn't moved in 18 months. Analytics & CRO runs structured testing on landing pages, product pages, and checkout. Within 6 months, conversion rate is 2.6% — a 44% lift on the same traffic.

Fintech building LTV models for CFO

Fintech CFO needs predictive LTV by acquisition channel for budget allocation decisions. Analytics & CRO builds the model on top of a proper warehouse, validates against actual cohort retention, and operationalizes it in executive reporting.

FAQ

Questions we hear about Analytics & CRO.

iOS 14, ad blockers, third-party cookie deprecation, server-side privacy changes, and platform reporting drift have all conspired to make attribution genuinely harder. Last-click attribution is wrong. Platform-reported ROAS is over-stated. Multi-touch attribution requires server-side data and clean event taxonomy. The work to get accurate attribution is real — but it's the only way to make defensible budget decisions.
Typical engagement: 8-12 weeks from kickoff to first reliable dashboard. Includes audit, server-side tracking implementation, attribution model build, and BI dashboard deployment. Ongoing CRO and optimization work continues beyond the rebuild on a retainer basis.
For B2B SaaS or scaling DTC, yes. Once you're running paid media at meaningful spend, have multi-channel acquisition, or need to model LTV — the warehouse becomes the source of truth that survives platform reporting drift. For early-stage businesses, you can defer it. For everyone else, it's overdue.
Real CRO starts with diagnosis: where is revenue actually being lost? Friction analysis, funnel drop-off mapping, qualitative research. Then targeted hypotheses tied to revenue, not surface-level UX changes. Tests run with statistical significance and pre-defined success criteria. Most "CRO programs" run small tests on insignificant variables — that's not CRO, that's busywork.
Yes — many engagements partner with internal analytics teams. We can handle the marketing-specific measurement work (attribution, paid media reporting, CRO) while internal teams own product analytics or finance reporting. Or we can run as the full analytics function. Both models work.

Talk to our Analytics & CRO lead.

A 30-minute call to talk through your situation, your current stack, and whether Analytics & CRO is the right fit for your stage of growth.

Get in Touch