Credit assigned to what actually worked
Attribution modelling that reflects your actual sales cycle, not a default last-click assumption.
Where this usually breaks down
Most analytics platforms default to last-click attribution, which gives one hundred percent of the credit to whatever channel happened to be clicked right before a conversion. In a funnel with any real length - a prospect who saw a paid social ad, later found the site through organic search, and converted three weeks later after an email - last-click hands all the credit to the email and none to the channels that actually built awareness and consideration.
Teams then make budget decisions based on that distortion, cutting spend from channels that look unproductive when they were doing real work higher in the funnel the whole time.
What this service actually solves
A better attribution model starts by mapping how the actual sales cycle behaves - how many touchpoints a typical buyer has, how long the cycle runs, and which channels tend to show up early versus late. From there, a multi-touch model spreads credit across the touchpoints that genuinely contributed, instead of defaulting to whichever one happened to be last.
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.
How we run it
We start by documenting the real buyer journey - not the assumed one - before choosing a model, since a data-driven or position-based model applied to the wrong funnel shape produces numbers that are precise but still wrong. Once implemented, the model is checked against known deals and revisited whenever the channel mix or sales cycle changes materially.
Capabilities & deliverables
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
Model Recalibration
- Periodic re-check as the funnel or channel mix changes
- Validation against known, closed deals
How an engagement runs
Funnel & Touchpoint Mapping
We document the actual path buyers take and how long the sales cycle really runs, not the assumed version.
Model Selection
An attribution model is chosen to match that funnel shape, rather than defaulted to last-click.
Cross-Channel Data Unification
Touchpoints from ad platforms, CRM, and analytics are stitched into a single view of the buyer journey.
Implementation
The model is configured and validated against a sample of known, closed deals before being trusted at scale.
Reporting
Channel credit is reported in a format stakeholders can act on, not just a dashboard nobody opens.
Recalibration
The model is revisited whenever the funnel, sales cycle, or channel mix changes materially.
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.
What this changes for the business
- Budget decisions reflect which channels actually contribute, not just which one closes
- Upper-funnel channels stop getting cut for looking unproductive under last-click
- The attribution model stays aligned to the funnel as it evolves
Who needs this
Businesses with a multi-touch, multi-week sales cycle
Last-click attribution actively misrepresents which channels are doing the work in a funnel this shape.
Teams about to cut a channel budget based on conversion reports
Worth checking whether that channel is being under-credited before the budget gets cut.
Related work
We're still building out published proof for this specific service — ask us directly and we'll walk through relevant examples.
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.
A yearly review is reasonable for most businesses, with an earlier check whenever a major channel is added, removed, or the typical sales cycle length shifts noticeably.
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.
Talk to us →