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Metrics and calculations

Every number you see in Influgest comes from somewhere. Here we tell you where, in plain language, and draw a clear line between what is measured and what is an estimate.

First things first: measured is not the same as estimated

This is the most important distinction in the whole documentation and the number one source of misunderstandings with clients. Some metrics are real, counted data, and others are an estimate calculated from real data by applying standard industry factors.

TypeWhat it meansExamples
MeasuredPublic data that the social network displays and that is collected as is, with no transformation.Followers · Views · Likes · Comments · Shares · Saves · Number of publications
EstimatedCalculated from measured data by applying a standard conversion factor. It's a reliable order of magnitude, not an exact figure.Reach · Impressions · EMV · Creator reach · Story impressions
DerivedObtained by combining other numbers with a division. It's as reliable as the numbers it combines.Engagement rate · CPM · CPE · ROI · EMV/€ efficiency
From our data providerAudience analysis that the social network does not publish and that our data provider supplies.Credibility · Fake followers · Fake likers · Demographics · Interests

Why reach cannot be measured

The question comes up sooner or later: if Instagram knows exactly how many people saw my reel, why does Influgest estimate it? The answer is that this figure is private to the account owner. Social networks only show it inside the profile's own insights, to the person signed in to it, and never publish it for anyone else.

No tool on the market —not ours, not our competitors'— can read the reach or impressions of an account it doesn't control. What is public in many formats is views, and everything else follows from there: reach and impressions are calculated from views using factors the industry has relied on for years.

For the same reason, you also won't find:

  • Clicks or conversions attributed to a publication: they require tracking links and access to the advertiser's website.
  • Demographic data declared by the network itself: the audience demographics you see come from our data provider's analysis, not from the creator's private insights.
  • An overall creator score from 0 to 100. There is no single number that sums up whether a profile is good: you have to look at engagement, credibility and brand fit.

Reach, impressions and views

Views

Views are the base metric and they are measured: it's the number the network itself shows under the video or the reel. Everything else in this block is deduced from them.

Reach

Reach is the distinct people who have seen the content. Since one person can watch the video several times, reach is always lower than views: in campaign reporting we estimate that around seven out of every ten views correspond to different people.

On a creator's profile and in Discover the starting point is different, because there's no campaign with publications there: the creator's estimated reach is their real followers, that is, their followers minus the ones credibility flags as fake or inactive. A creator with 100,000 followers and 90 % credibility has an estimated reach of 90,000 accounts.

Impressions

Impressions count the number of times the content has been shown, repeats included. That's why they are always higher than reach: in reporting they are estimated by applying a repeat factor to views, and on the creator profile by multiplying their reach by one and a half.

Stories have their own estimate, because they're almost never seen by the whole community: they are calculated to reach around 7 % of real followers, and their impressions come from applying the same repeat factor to that reach.

Engagement

Engagements

Engagements are the sum of likes, comments, shares and saves. They are measured. On some screens they appear as Engagements (abs.) or Eng./post, which is the same number spread across the publications.

Engagement rate

Engagement rate measures how much interaction the content generates relative to the people who see it. It's a derived number, and what matters is knowing that the denominator changes from screen to screen:

WhereWhat it comparesHow to read it
Creator profile (Discover and talent profile)Average likes and comments per publication, divided by their followers.It's the industry standard for comparing creators with each other. On result cards, an ER of 4 % or higher is highlighted in green.
Campaign reportingLikes and comments on the campaign's publications, divided by views.It measures the quality of the content published, not the size of the community. It usually gives lower figures than the profile ER.

In the audience report the engagement rate is also broken down by content type (All content, Reels, Stories) and compared with accounts of a similar size, with the labels above average, average or below average. That comparison matters more than the bare number: engagement naturally falls as follower count rises, so 2 % on a large account can be better than 6 % on a small one.

It compares how the creator's sponsored content performs against their organic content. 100 % means paid works just as well as what they publish on their own; below 100 %, their audience responds worse to collaborations. It's a useful signal for spotting profiles saturated with advertising.

EMV: earned media value

EMV (Earned Media Value) answers one specific question: how much would it have cost to buy this visibility in advertising? It isn't money you've earned or a direct return. The app says it plainly: it's an estimate based on the Ayzenberg 2025 formula, not a direct return.

How it's calculated, in one sentence

Each publication contributes its estimated impressions multiplied by a rate in euros per impression, and the campaign's EMV is the sum of them all. The rate depends on two things: the social network (Instagram, TikTok, YouTube, Twitch or X) and the format (post, story, reel, video, short or live), because a YouTube video isn't worth the same as a fleeting story.

You decide the rates

Influgest ships with default rates taken from a public industry benchmark, the Ayzenberg 2025 report, but your agency can override any row in the EMV rates tab of Settings. That's the right move if you work one specific market and know its real prices: the default rates are an international average.

How to edit each row and how to go back to the benchmark value is in the Settings reference. What's worth remembering here is the effect: a rate change affects calculations from that moment on, so a report you already shared as a snapshot keeps the figures it had when you froze it.

What happens if a rate is missing

If a network and format combination has no rate assigned, that piece adds zero to EMV. That's a deliberate decision: we'd rather EMV fell short than inflate it with a guess. If you see a lower EMV than expected on a campaign with plenty of content, check the rates table: chances are the row for that format is missing.

Cost, return and efficiency

These four metrics relate what you've paid to what you've got. They all start from Invested, which is the sum of the rates agreed with the campaign's creators, so they're only reliable if those rates are up to date.

MetricThe question it answersHow it's obtained
CPMHow much does it cost me to have the content shown a thousand times?The amount invested divided by estimated impressions, times a thousand. The lower, the better.
CPEHow much does each interaction cost me?The amount invested divided by total engagements. Useful when the goal is conversation rather than volume.
ROIDoes the media value this talent generated beat what I paid them?The talent's EMV is compared with their agreed rate and expressed as a percentage: 50 % means the estimated EMV was one and a half times the rate.
EMV/€ efficiencyHow many euros of value do I generate for every euro invested?EMV divided by the amount invested. It's the same idea as ROI, read as a multiplier.

“ROI” is the name the industry uses, but it's worth understanding it properly before you put it in front of anyone: it compares an estimate of media value with real spend. It doesn't tell you how much you've sold. If your client is after return on sales, that measurement happens in their own analytics tools, not here.

Credibility and fake followers

These metrics come from our data provider's audience report and they are the reason you can trust a profile without relying on what the creator tells you. They are audience verification: an external analysis of the accounts that follow a creator.

MetricWhat it measuresHow to interpret it
CredibilityThe share of followers that are real, active accounts, from 0 to 100 %.Above 85 % is a healthy audience. It's the Audience credibility (min.) filter in Discover.
Fake followersThe share of followers showing signs of being fake or inactive accounts.Low is good; above 15 % usually points to an inflated audience. It's exactly the opposite of credibility: 90 % credibility equals 10 % fake followers.
Fake likersThe share of likes on recent publications that don't come from real people.It spots bought engagement, which is different from bought followers. A profile can have clean followers and bought likes.
Audience typesThe split of followers into real, mass followers, suspicious and influencers.It adds the nuance a single percentage can't give: a high share of mass followers means an audience that follows everyone and sees little.
ReachabilityHow many accounts each follower follows.An audience that follows few people is easier to reach, because your content competes with fewer publications in their feed.

Unique audience and overlap

Adding up the followers of all the talent in a campaign always gives an inflated number, because some people follow several of them. The unique audience analysis in the Audience tab of reporting works out how many distinct people you really reach and how much your talent overlap with each other.

It's the metric that best justifies a creator selection to a client: five profiles from the same niche can add up to two million followers and reach one million people. This analysis consumes data credits for each platform analysed. The rest of the tab —the demographic profile of the combined audience, weighted by followers— is built from the reports you already have for each talent and costs nothing extra.

How to run it and when it needs recalculating is explained in Reporting.

When the numbers are updated

The metrics of a campaign's publications are refreshed automatically several times a day, and reporting shows the time of the last check. If you need the data to the minute, the Refresh button forces a pass.

A creator's audience report works differently: the first lookup spends a data credit and is stored for 30 days, so opening it again within that window costs nothing. When you want fresher data before then, the refresh button queries the provider again and spends a new credit.

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