Stop Cutting Channels That Were Actually Working
We model attribution around your real sales cycle, so upper-funnel channels get credit for the work they're actually doing.
Marketing attribution is assigning credit for a conversion across every touchpoint that contributed to it, using a model that matches your actual sales cycle instead of a default last-click assumption.
What is Marketing Attribution?
Marketing attribution is assigning credit for a conversion across every touchpoint that contributed to it, using a model that matches your actual sales cycle instead of a default last-click assumption. A multi-touch model spreads credit across the touchpoints that genuinely contributed, mapped from how the actual sales cycle behaves - how many touchpoints a typical buyer has and which channels show up early versus late.
Defaulting to last-click costs more than it looks like - it gives all the credit to whatever channel happened to be clicked right before a conversion, so in any funnel with real length, upper-funnel channels look unproductive and teams end up cutting budget from channels that were actually doing the work.
It's different from GA4 implementation, which builds the event data attribution runs on, and from reporting and insights, which turns the resulting numbers into a recommendation. Attribution is specifically the credit-assignment layer in between.
Common problems we solve
Last-click gets all the credit
Whatever channel was clicked right before conversion gets full credit, regardless of what led there.
Upper-funnel channels look unproductive
Awareness and research-stage channels appear to do nothing under a last-click model.
Channels cut for looking unproductive
Budget gets pulled from channels that were actually contributing, just not closing.
No unified view across platforms and CRM
Touchpoints from ad platforms, analytics, and CRM are never stitched into one journey.
Model never matched to the real funnel
The same attribution model is applied regardless of how long the sales cycle actually runs.
Everything covered in this service
Attribution Model Selection
Data-driven versus rule-based model evaluation, matched to your actual sales cycle length.
Multi-Touch Setup
Cross-channel touchpoint tracking with linear, position-based, and time-decay model configuration.
Cross-Channel Data Unification
Touchpoint stitching across ad platforms, CRM, and analytics, including online-to-offline paths.
Reporting & Visualisation
Attribution reporting built in Looker Studio with channel credit breakdowns stakeholders can use.
Model Recalibration
Periodic re-checks as the funnel or channel mix changes, validated against known, closed deals.
Our optimization framework
Map
We document the actual path buyers take and how long the sales cycle really runs, not the assumed version.
Select Model
An attribution model is chosen to match that funnel shape, rather than defaulted to last-click.
Unify
Touchpoints from ad platforms, CRM, and analytics are stitched into a single view of the buyer journey.
Build
The model is configured and validated against a sample of known, closed deals before being trusted at scale.
Report
Channel credit is reported in a format stakeholders can act on, not just a dashboard nobody opens.
Recalibrate
The model is revisited whenever the funnel, sales cycle, or channel mix changes materially.
What actually changes
| Before | After |
|---|---|
| All credit given to the final click before conversion | Credit spread across contributing touchpoints |
| Upper-funnel channels look like they do nothing | Upper and mid-funnel channels show their real contribution |
| Same model applied regardless of how long the funnel actually is | Model matched to actual sales cycle length |
| Touchpoints scattered across disconnected platforms | Touchpoints unified into a single buyer journey view |
What we report on
Channel credit distribution
Reported by how credit shifts once upper and mid-funnel touchpoints are counted.
Model accuracy against closed deals
Validated by checking the model against a sample of known, closed deals.
Cross-channel data coverage
Tracked as the share of the buyer journey successfully stitched across platforms and CRM.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
Related Analytics & Tracking services
Get GA4 Data You Can Actually Trust and Act On
We build the events and dimensions that answer your real business questions, not just the GA4 defaults.
Google Tag ManagerOne place to manage every tag, cleanly
GTM implementation and container management so every tracking tag is documented, tested, and reliable.
Know which conversions actually count
Conversion tracking configured across ad platforms and analytics so spend decisions are based on real outcomes.
Consistent tagging is the whole point
UTM naming conventions and governance so campaign data stays clean and comparable over time.
One dashboard, not five exported spreadsheets
Looker Studio dashboards that answer specific business questions, refreshed automatically.
Get Reports That End in a Decision, Not a Wall of Numbers
Every report we send pairs the numbers with a clear, specific recommendation - not just data.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
It depends on your funnel shape - a short, single-touch funnel may not need anything beyond last-click, while a longer, multi-touch B2B cycle usually benefits from a data-driven or position-based model. We recommend based on your actual touchpoint data, not a default preference.
It builds on it rather than replacing it. GA4's data-driven attribution is a reasonable starting point for many businesses; the work is verifying it fits your funnel and extending it with cross-channel and CRM data where GA4 alone cannot see the full journey.
Enough conversion volume needs to accumulate under the new model before the credit breakdown is statistically meaningful - for most mid-volume accounts, that is a few weeks to a couple of months.
Yes, using ad platform and analytics data alone, though the model will be less accurate for long sales cycles where a meaningful share of the journey happens after the initial digital touchpoints. CRM access improves accuracy but is not strictly required.
No single model is fully accurate - all attribution is a modelled estimate, not ground truth. What we can say is that a model matched to your actual funnel shape is a better approximation than a default that was never designed with your sales cycle in mind.
Suspect a channel is being under-credited?
We will map your actual touchpoint data before recommending whether last-click is quietly costing you a channel worth keeping.
Ready to get started?
We usually reply within 24 hours.
Marketing Attribution, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Attribution Model Selection | Data-driven versus rule-based model evaluation, model selection matched to actual sales cycle length |
| Multi-Touch Setup | Cross-channel touchpoint tracking, linear, position-based, and time-decay model configuration |
| Cross-Channel Data Unification | Touchpoint stitching across ad platforms, CRM, and analytics, handling for online-to-offline conversion paths |
| Reporting & Visualisation | Attribution reporting built in Looker Studio, channel credit breakdowns stakeholders can actually use |
How this compares
| Modelled Attribution | Default Last-Click |
|---|---|
| Credit spread across contributing touchpoints | All credit given to the final click before conversion |
| Upper and mid-funnel channels show their real contribution | Upper-funnel channels look like they do nothing |
| Model matched to actual sales cycle length | Same model applied regardless of how long the funnel actually is |
No attribution model is perfectly accurate - every model is an approximation, and the honest goal is a better approximation than last-click, not a claim of certainty.