Last-click attribution is lying to you — crediting the final touch while ignoring every channel that built awareness and drove consideration. We implement multi-touch attribution modeling that accurat...
Full-service marketing attribution — no outsourcing, no shortcuts.
A diagnostic review of your current attribution setup: what model you're using, where credit is being misallocated, and the estimated budget impact of attribution blind spots.
We map your actual customer journeys — average touchpoint counts, channel sequences, time-to-conversion by segment — to understand the real path to purchase before building the attribution model.
Custom attribution model implemented across your ad platforms and analytics stack: first-touch, linear, time-decay, position-based, or data-driven (for sufficient conversion volume).
Integration of all marketing channel data into a unified attribution view — paid search, paid social, organic, email, direct, referral — so every touchpoint appears in the same model.
A dedicated attribution dashboard showing revenue credit by channel, channel-level CPA and ROAS under the correct attribution model, and journey-level path analysis.
Data-driven budget reallocation recommendations based on attribution-corrected performance — with modeled projections of revenue impact from shifting budget between channels.
Monthly attribution review: model performance, new journey pattern analysis, and budget recommendations — ensuring the model evolves as your channel mix and customer behavior change.
A proven 4-step process from discovery to delivery.
We analyze your historical conversion data to map actual customer journeys and identify the attribution gaps that are currently distorting your channel performance view.
Attribution model selected based on your business model, conversion volume, and sales cycle. Built in your analytics stack and validated against historical revenue data.
Attribution dashboard built. Channel performance re-baselined under the new model — revealing the real winners and losers in your channel mix.
Monthly attribution review with budget reallocation recommendations. Model calibrated quarterly as new conversion data accumulates.
Last-click gives 100% of the conversion credit to the final touchpoint before purchase — typically branded search or direct. This makes top-of-funnel channels (display, social awareness, content) look worthless, leading businesses to cut the channels that are actually driving demand.
Analytics measures what happened. Attribution assigns credit for what happened to the marketing activities that caused it. Attribution is the layer that answers 'which channels drove this revenue?' rather than just 'which channel was last touched.'
Data-driven attribution requires 3,000+ monthly conversions to train accurately. For lower-volume businesses, we implement rule-based models (position-based or time-decay) that are more accurate than last-click without requiring high conversion volume.
Yes — and that's the point. Once ad platforms receive corrected conversion signals, Smart Bidding and automated bidding strategies optimize toward the right goal. The budget efficiency gains typically pay for the attribution work within 60–90 days.
Yes — CRM integration is a core part of our attribution implementation. We import pipeline stages and closed revenue back into ad platforms and analytics, enabling true revenue attribution rather than lead attribution.
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