Question 1

How do you verify performance marketing results in case studies?

Accepted Answer

Adzyon case studies document verification methodology for each result: whether outcomes were measured server-side or platform-reported, which attribution model was used, what the measurement window covered, and whether incrementality testing was used to distinguish genuine lift from attribution cannibalization. Platform-reported numbers are not treated as ground truth — they are compared against server-side data and CRM records where available. The methodology section makes this explicit for each study.

Question 2

What performance marketing results should you expect from a well-run engagement?

Accepted Answer

Realistic benchmarks depend on starting state, industry, and which constraint is addressed first. Ecommerce accounts with broken attribution and fragmented channel management typically see 25-40% improvement in attributed ROAS after server-side implementation and consolidation. CRO programmes with structured A/B testing infrastructure typically compound at 10-20% CVR improvement per quarter once the hypothesis pipeline matures. The case studies document what drove the specific outcome in each situation rather than presenting an average.

Question 3

How long does it take to see results from a performance marketing system?

Accepted Answer

The diagnostic phase takes 1-2 weeks. System build and tracking deployment takes 2-4 weeks. A reliable performance baseline typically emerges within 60 days. Compound improvement — where each optimisation cycle is materially more efficient than the last — is measurable at 3-4 months. The timeline varies by the complexity of the tracking infrastructure required and the starting state of the acquisition funnel.

Question 4

What is the difference between a performance marketing case study and an agency testimonial?

Accepted Answer

An agency testimonial reports a client's satisfaction with the engagement. A performance marketing case study documents the specific constraint diagnosed, the system architecture built to address it, the measurement methodology used to verify outcomes, and the verified performance improvement attributable to the system — not just the engagement. The distinction matters because a client can be satisfied with an agency's service while the underlying business performance metrics did not improve as claimed.

The acquisition ceiling isn't in the budget. It's in the system.

Each engagement documented from diagnostic to outcome — not a highlights reel.

They thought it was a creative problem. It was an attribution problem.

Three agency attempts, zero pipeline. The problem was the market model, not the media.

100K organic TikTok followers. Paid TikTok at 1.4× ROAS. The problem was tracking and creative architecture.

The same four principles govern every engagement — regardless of market, channel, or scale.

Diagnosis before execution

Measurement before media

System architecture, not campaigns

GCC-native thinking, not translated campaigns

Know which layer of your acquisition system is capping growth — before the constraint compounds further.