Stop making decisions based on a PDF from last quarter.

Know which channel drove the sale. Know which page is losing you conversions. Know what to automate and when. The intelligence layer that makes everything else in your stack work harder.

acme.intelligence / live dashboard LIVE
Revenue attributed (30d)
+38.2%
Conversion rate
4.8%
Email rev/send
+22.4%
Cart abandon rate
-12.1%
CRO tests shipped
14 this month
Real metrics from a live client dashboard
The problem

Most brands don't have a data problem. They have a decisions problem.

The data exists. It's just sitting in five different dashboards, owned by five different vendors, telling five different stories. The result is that nobody knows which number to trust, and the board gets a slide deck that looks impressive but says nothing actionable.

0%
Of global shopping sessions end in cart abandonment. Recoverable revenue.
Landbase, 2026
0x
ROI from CRO vs. paid acquisition alone, on existing traffic.
SiteTuners, 2025
0%
Of agency leaders cite new client acquisition as their biggest pain point.
AgencyAnalytics, 2025
0%
Growth in fractional leadership roles since 2022. The market wants a different model.
Porter Wills, 2026
A 1% conversion lift on 10,000 monthly visitors at a $50 AOV =
+$60,000 in annual revenue
Without increasing ad spend by a single dollar. That's what the intelligence layer does.

Attribution that names which channel actually drove the sale.

Beyond last-click. Beyond what your ad platform wants to take credit for. Real attribution that tells you where to spend more and where to stop wasting budget.

We configure GA4 properly, implement server-side tracking that survives browser restrictions, build multi-touch attribution models, and create dashboards that are written to be understood by a CEO first.

GA4 configuration and audit

Conversion events, enhanced ecommerce, cross-domain tracking, data accuracy verification. If it's misconfigured, nothing downstream works.

Server-side tracking

Browser restrictions kill client-side tracking. Server-side implementation recovers the data you're losing to ad blockers and ITP.

Multi-touch attribution modelling

Data-driven attribution that adapts as your channel mix changes. Updated continuously, in real time.

Board-ready reporting

Monthly narratives that explain what moved, why, and what the next 30 days should prioritise. Written for a CEO first.

acme.dashboard / attribution
Revenue
$284.4K
+38% vs prior
Conv. Rate
4.8%
+1.2%
ROAS
4.2x
+42%
Meta
$142K
CPA -28%
Google
$98K
ROAS 5.1x
Email
$44K
Rev/send +22%

Wondering if your tracking is accurate?

Every Diagnostic includes a full tracking and attribution audit. Within two weeks you'll know whether the decisions you're making are based on accurate measurement.

Book a Discovery Call →

A testing program that compounds, not a one-off report.

Every hypothesis is grounded in your actual data. Heatmaps, session recordings, scroll depth, exit-intent analysis. We don't guess why people leave your site. We watch them do it, form a hypothesis, build the variant, and measure the result.

The cycle repeats every week. Results compound quarter over quarter. By month three, you'll have a fundamentally different conversion rate than where you started.

Behavioural analysis

Heatmaps, session recordings, scroll depth, exit-intent data. We find where users drop and why, with evidence instead of opinions.

Hypothesis-driven A/B testing

Landing pages, product pages, checkout flows, lead forms. Every test has a documented rationale and a measurable success metric before it runs.

Mobile experience gap analysis

62% of global web traffic is mobile. Most conversion problems live here. We identify and fix mobile-specific friction that analytics alone won't reveal.

Monthly CRO cycles

An iterative program built to compound. Results stack quarter over quarter. You get a documented test log with every result informing the next cycle.

acme.cro / test cycle
Analyse

Heatmaps, sessions, drop-offs

Hypothesise

Data-backed test rationale

Test

A/B ship within the week

Measure

Result informs next cycle

Tests shipped
14
this month
Win rate
64%
above industry avg
Conv. lift
+1.2%
compounding

Lifecycle revenue you can actually attribute.

Most email programs show you open rates and click rates. We track revenue per send. Every flow has a revenue number attached to it, connected back to your attribution model, so you know exactly how much money each automated sequence is generating.

We build flows triggered by real behaviour: cart abandonment, browse abandonment, post-purchase sequences, win-back campaigns, VIP segmentation. Each one is designed around what your data actually shows about your customers — your patterns, your moments.

Behavioural trigger flows

Cart abandonment, browse abandonment, post-purchase, win-back. Built from your own data patterns.

Smart segmentation

RFM-based cohorts, VIP tiers, churn-risk identification. Your audience segmented by value and behaviour.

Revenue attribution per flow

Every flow tracked back to actual revenue. Real dollars generated, connected to your attribution model.

SMS + email orchestration

Multi-channel sequences that respect customer preferences and timing. SMS for urgency, email for depth, both tracked to revenue.

acme.lifecycle / active flows
Cart AbandonmentTriggered 1hr after abandon
$18.4K/mo
Post-Purchase Sequence5-email nurture + review ask
$12.1K/mo
💬
Browse Abandonment SMSTriggered after 2nd browse without cart
$8.7K/mo
Win-Back Campaign90-day inactive re-engagement
$6.3K/mo
VIP Early AccessTop 10% by LTV, new arrivals
$4.9K/mo
💬
Replenishment ReminderPredicted reorder timing
$3.2K/mo
Total lifecycle revenue $53.6K/mo attributed

AI isn't a service we sell. It's how we deliver.

Every audit, every CRO hypothesis, every attribution model, every report has AI underneath it. The result is faster, sharper, and more consistent than a purely manual process. You pay for the outcome.

The compounding effect

Three disciplines that feed each other.

The real value isn't in any one of these services. It's in the fact that they're run by the same team, sharing the same data, informing each other in real time. Attribution tells CRO where to focus. CRO results feed lifecycle segmentation. Lifecycle data improves attribution accuracy. The system compounds.

01

Analytics & Attribution

Tells you which channels and pages actually drive revenue. This is the truth layer that makes every other decision better.

→ Feeds CRO: identifies which pages to test first → Feeds Lifecycle: reveals which cohorts are most valuable
02

Conversion Intelligence

Turns attribution insights into tests. Ships experiments every week, measures results, and compounds the conversion rate over months.

→ Feeds Attribution: validated lift data improves the model → Feeds Lifecycle: winning page variants inform email content
03

Automation & Lifecycle

Turns customer data into revenue-generating flows. Every sequence is tracked to actual dollars, feeding back into the attribution model.

→ Feeds Attribution: lifecycle revenue data closes the loop → Feeds CRO: email engagement data reveals content preferences

Find out if your data is telling you the truth.

A free 30-minute discovery call to understand your current analytics setup, identify where the gaps are, and figure out if we're the right team to close them.