See Which Touchpoints Deserve the Next Dollar
Attribute revenue across channels so budget flows to genuinely incremental media.
> Analyzing touchpoints...
> Optimization Opportunity Found:
Reallocate 15% spend from Display -> Social.
Proj. Conv Lift: +8%
The Problem
Most acquisition decisions are still driven by last-click reports and platform-reported ROAS:
Result: budget shifts slowly, CAC drifts up, and high-quality channels are often cut before low-quality ones.
Business Outcomes
Multi-Touch Attribution should deliver clear, defensible changes in spend:
Lower blended CAC by shifting budget toward touchpoints with proven incremental impact.
Higher profitable ROAS by focusing on campaigns that drive converting journeys, not just clicks.
Better channel mix across search, social, display, affiliates, email, and offline.
Stronger finance alignment with attribution that stands up in planning and board reviews.
Multi-Touch Attribution Services
Attribution Framework & Governance
Define how attribution decisions are made and used internally.
- Attribution framework combining rules-based, data-driven, and MMM inputs where relevant.
- Clear roles for MTA vs last-click vs media mix modeling in planning.
- Governance on lookback windows, conversion definitions, and model refresh cadence.
Journey length: 14 days
Touchpoints: 8
Data & Identity Foundation for MTA
Build the event-level data set that makes MTA credible.
- Ingestion of impression, click, and session data from ad platforms and analytics tools.
- Integration of CRM, ecommerce, app, and offline conversion events.
- Identity stitching across devices and channels using IDs, logins, and cookies (where available).
- Standardised touchpoint taxonomy: channel, campaign, ad group, creative, placement.
Attribution Modeling & Calibration
Apply and calibrate models that match your scale and data quality.
- Baseline rule-based models (e.g., position-based, time-decay, linear) for fast adoption.
- Algorithmic models using techniques like Markov chains or Shapley value-based attribution where data supports it.
- Calibration against controlled tests, brand lift, and MMM outputs where available.
- Channel, campaign, and creative-level contribution estimates for revenue and conversions.
Attribution Model Comparison
Budget Reallocation Tool
Decisioning & Budget Reallocation
Convert attribution outputs into clear spend and strategy changes.
- Channel and campaign level CAC, ROAS, and payback using MTA estimates.
- Budget reallocation recommendations by channel, campaign type, and funnel stage.
- Guidance on bid strategies, audience priorities, and creative emphasis by platform.
- Playbooks for scaling winners and de-prioritising low-incrementality spend.
Reporting, Testing & Continuous Improvement
Keep attribution honest and actionable over time.
- Dashboards for attributed revenue, CAC, ROAS, and payback by channel and campaign.
- Experimentation frameworks (geo-tests, holdouts) to validate and refine models.
- Versioning and documentation for model updates, assumptions, and known limitations.
- Handover of processes so internal teams can run and interpret MTA outputs.
| Experiment | Lift | Conf. |
|---|---|---|
| Geo-Holdout (Texas) | +5.2% | 95% |
| Facebook Scale-Up | -1.1% | 80% |
Use Cases
Ecommerce and retail
Optimise spend across search, social, display, email, and affiliates using attributed revenue, not platform ROAS.
Subscription and SaaS
Attribute free-trial and signup journeys involving multiple touchpoints before conversion.
Omnichannel brands
Combine online, in-store, and call-center data to understand full-funnel contribution.
Why Rudder Analytics
Data and model-first
Event-level data engineering, identity stitching, and attribution modeling under one roof.
Commercial focus
Recommendations framed around CAC, ROAS, and payback, not just model accuracy.
Tool-agnostic
Works with your existing ad platforms, analytics tools, CDP, and data warehouse.
Finance-ready outputs
Attribution results presented in a format finance and leadership can challenge and approve.
