Data that shows not clicks, but how meanings and content move clients toward decisions.
The classic funnel — impression, click, visit, lead — describes one session. In complex products, one session decides nothing.
A client might read you for six months. Watch videos, return to articles, forward to colleagues. Then — a lead. Standard analytics will show 'came from ads' or 'direct visit'. Everything in between — invisible.
Result: it's unclear which content actually warms up, which meanings drive decisions, and which just generate 'engagement' without affecting sales.
You see activity. But you don't see influence.
When the warm-up cycle is three to six months, it's critical to understand:
Without this, content marketing becomes an act of faith: we publish, we hope it works. We can measure reach and likes, but we can't connect them to client decisions.
Which means — we can't manage.
We view analytics not as channel reporting, but as a tool that shows:
This isn't a replacement for standard metrics. It's an additional layer — visibility of what happens between first touch and deal.
Influence analytics isn't reports. It's the ability to manage what was previously invisible.

If content is published but it's unclear how it affects sales, the warm-up cycle is long but visibility is only at entry and exit, you want to understand which meanings work, not just which channels — we can discuss how to build analytics that shows content's influence on client decisions — across the entire cycle.
George Ryzhenko
Founder of Digital Experts