Influencer marketing analytics and comment intelligence

Metrics with their sources attached

Influencer reporting has a credibility problem, and it comes from unlabelled numbers. Platform APIs expose some metrics for some account types; other figures come from verified post links or from creator-submitted statistics that need plausibility checks. These are different classes of evidence, and our reports keep them distinct: every metric is labelled with its source class, and consolidated totals state their coverage.

The same honesty applies to comments. No agency sees every comment: API access is limited, some platforms expose only partial threads, and comments keep arriving after collection. Our comment intelligence therefore reports on the corpus we collected, states its scope, and never claims to be a census. Clients get smaller, defensible numbers instead of large, unverifiable ones.

Comment intelligence at campaign scale looks like this in practice: for ORLEN Paczka our team collected 1,652 comments across the campaign's publications and classified them into sentiment, recurring topics, audience questions and purchase signals. That corpus, with its scope stated, gave the brand a readable picture of how a logistics service was being discussed, which fed directly into the next wave's briefs.

From dashboards to decisions

The live dashboard shows the campaign as it runs: publications landing, reach and impressions accumulating, markets and platforms compared, paid amplification tracked against organic baselines. Because the data is structured per creator and per material, questions like which content format is winning in which country have answers during the flight, when they can still change the plan.

Analysis ends in recommendations, not just observations. After each wave we identify which creators, formats and markets earned the next investment, which is how programs improve wave over wave. The ORLEN Paczka campaign's 170+ publications and 6.2M impressions, and the NutriBullet program's 900+ materials from 500+ creators, were both steered with exactly this loop.

• Live dashboards for the whole campaign, per market and per creator
• Organic vs paid comparison on the same publication records
• Comment intelligence: sentiment, topics, questions, risks, purchase intent
• Next-wave recommendations grounded in verified data
• Exports in PPTX, XLSX and CSV at any moment

Analytics as part of the operation, not an add-on

Our analytics is built into the same platform that runs recruitment, logistics and content review, so the data is a by-product of doing the work, not a separate collection project. A publication enters reporting when our operations team verifies it live; a comment corpus exists because the publication record points at a real URL. That is why our numbers hold up when procurement asks how they were produced.

Everything on this page is delivered as part of campaign and community engagements. If your team wants to go deeper, the subpages below describe each capability, its methods and its limits in detail.