How does Five Blocks use IMPACT in client engagements?
IMPACT is the diagnostic and measurement backbone of most Five Blocks engagements: it audits the client's current digital landscape during discovery, tracks whether specific content is gaining or losing prominence in search results during an active program, and supplies the data behind reporting, peer benchmarking, and recommendation adjustments.
IMPACT is the diagnostic and measurement backbone of most Five Blocks engagements. The same search-tracking infrastructure runs across the full lifecycle of a program – it establishes the baseline at the start, measures movement while work is underway, and supplies the numbers behind every progress report – so the diagnosis and the measurement are never disconnected.
How IMPACT is used across the engagement lifecycle
- Discovery audit
- At the outset, IMPACT provides a comprehensive read of the client’s current digital landscape – what appears for priority queries and how the results are composed – so the program starts from a documented baseline rather than an impression.
- Active-program prominence tracking
- During an active program, IMPACT tracks whether specific content is gaining or losing prominence in search results. This matters because the vast majority of stakeholder attention concentrates on the first page of Google, so a result moving up or down the page is a meaningful change rather than a cosmetic one.
- Reporting and peer benchmarking
- In reporting, IMPACT provides the data underlying progress updates and recommendation adjustments, and its comparative view places a client’s standing in the context of a defined peer set – surfacing opportunities that are not visible without that comparison.

The scale of the underlying tracking is what makes this practical: IMPACT tracks more than 100 million daily data points across 50,000+ keywords in 23 languages and 69 countries, with city-level SERP capture – so a prominence shift in any monitored market or language produces a detectable signal rather than going unnoticed. Because the same dataset feeds the audit, the ongoing tracking, and the reporting, the diagnostic and measurement layers stay consistent from the first assessment through every later review.
Last reviewed: 19/05/2026