Paid Social
Paid social influences behavior before intent exists — which makes measurement harder, not optional.
We help teams run paid social programs that are creative-led, analytically grounded, and accountable beyond platform dashboards.
Why paid social impact is often overstated
Paid social platforms provide rich engagement metrics — but engagement is not the same as impact.
Common challenges we see include:
- Over-reliance on clicks, views, and platform conversions
- Weak intent signals compared to search channels
- Attribution models that over-credit social exposure
- Limited visibility into post-click and post-view behavior
- Creative decisions made without performance context
The result is confidence driven by dashboards, not by evidence.
Our approach to paid social
We approach paid social as an influence channel that must be evaluated using the right signals and realistic expectations.
Our work typically includes:
- Defining paid social’s role in the broader journey
- Aligning platform metrics with analytics outcomes
- Evaluating creative performance using downstream signals
- Separating correlation from contribution
- Supporting creative and audience experimentation
This ensures paid social decisions are informed by insight — not inflated attribution.
Paid social in a connected activation system
Paid social delivers the most value when it is evaluated alongside search, programmatic, and brand activity.
We help teams connect paid social data with digital analytics, attribution frameworks, and experimentation — so influence can be understood in the context of real behavior.
Influence should be measured — not assumed.
When to engage us
Organizations typically engage us when:
- Paid social performance looks strong but feels unclear
- Platform metrics conflict with analytics data
- Creative decisions lack performance feedback
- Attribution models over-credit social channels
Not confident in your paid social measurement?
Request an analytics audit to review your paid social measurement, attribution assumptions, and data alignment — and identify where clarity and control are needed.
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