IQFluence influencer ranking methodology: How we selects and ranks creators

Which creators can qualify?

A profile must be public, have the data needed for comparison, and meet the specific requirements of the list. Those requirements vary: a topic list needs subject evidence, a country list needs creator-location evidence, and an audience-demographic list needs sufficient audience data.

Where qualification requires recent content, we start with posts published during the previous 30 days. If that period contains fewer than three analyzable posts, we extend the review to 90 days. A profile is excluded if the extended period still contains fewer than three.

An analyzable post is a distinct public post that we could retrieve, date, and assess for the relevant criterion. Deleted, private, inaccessible, duplicate, and undated posts do not count. An older pinned post does not count simply because it appears at the top of a profile.

The 30/90-day rule defines the content reviewed for eligibility. It does not automatically define the period used to calculate engagement or other performance metrics.

How we determine topic and niche relevance

A creator needs a clear connection to the subject of a topic ranking. Depending on the list’s stated evidence rule, that connection can come from an explicit bio description, a relevant platform category, or repeated recent content about the subject.

Captions and hashtags can support a content match, but context matters. One incidental keyword mention does not qualify a profile. For example, a passing reference to “hair” in an unrelated caption does not establish haircare relevance.

When a list uses recent content as its qualification route, the creator must meet that list’s minimum number of matching posts. This is a separate requirement from having three analyzable posts: enough content to assess does not necessarily mean enough relevant content to qualify.

Topic inclusion describes the available evidence of relevance. It does not certify professional expertise or imply that every post concerns the same subject.

How we determine creator location

Country rankings estimate how a creator’s analyzed follower audience is distributed across countries. It is a modeled estimate, not a record of each follower’s exact or current location.

IQFluence estimates followers’ historical locations at the country, state, and city levels by analyzing available profile and content signals, including:

• location tags;

• the language and captions used in recent posts;

• location information included in profile bios.

IQFluence combines these signals to associate analyzed follower accounts with likely locations and then aggregates the results by country.

The percentage shown next to each country represents the estimated share of the analyzed audience associated with that location. For example, if the United States accounts for 64.1%, IQFluence has associated approximately 64.1% of the assessed followers with the United States based on the available signals.

These percentages should not be interpreted as verified residence data. Location information may be incomplete or outdated, and followers may travel, publish content in another language, or mention places unrelated to where they live.

Use audience location as a campaign-fit signal. Compare the estimated country distribution with the campaign’s target market, then review it alongside audience demographics, engagement patterns, recent content, and other relevant audience-quality information.

IQFluence estimates audience location using location tags, recent-post language and captions, and information from follower bios. Country percentages are estimates, not verified residence data.

How audience location and demographics are used

Audience location describes the estimated geographic distribution of the audience represented in an analysis. A creator’s location and their audience’s location answer different questions: where the creator has a public connection and where potential campaign exposure may be concentrated.

IQFluence’s influencer analysis includes audience geography and demographic breakdowns where available. These values are estimates and should not be interpreted as verified attributes of every follower.

Audience-location estimates use public profile and interaction data available for analysis. On Instagram and TikTok, the estimate describes sampled follower accounts. On YouTube, it describes distinct accounts that commented on public videos during the previous 30 days; it does not describe all subscribers or viewers.

Each audience-location estimate is produced from a sample formed for that specific analysis. Its size and composition vary depending on the request, the creator account, and the topic being analyzed. The result should therefore be interpreted within the scope of that individual analysis, rather than as a metric calculated from a fixed or identical sample across reports. Location signals include location tags, the language and captions of recent posts, and text in profile descriptions.

Country percentages are calculated among sampled accounts for which a country could be estimated. Accounts with unknown locations are excluded from that denominator. We show a country breakdown only when at least 200 accounts have an estimated country and those accounts represent at least 50% of the sample. Otherwise, the result is shown as unavailable.

These samples can underrepresent private accounts, people with little public information, and people who rarely comment. An audience-country estimate should therefore be used as a screening signal rather than a verified count of everyone who follows or watches a creator.

For audience-demographic rankings, the selected segment must represent at least 60% of the analyzed audience for which the relevant attribute could be estimated. Profiles without sufficient audience data are excluded.

Illustrative example: a 64% estimate can satisfy the threshold for a list defined by that audience segment. It does not prove that 64% of every follower, every viewer, or a future campaign’s audience belongs to that segment. The 60% rule applies to audience-demographic lists; it is not the location rule for ordinary country rankings.

How ranking positions are calculated

After qualification and exclusions, eligible profiles are ordered by follower count using the data captured for that ranking.

Engagement, views, and audience-quality estimates may help readers assess the listed creators, but they do not change the default order. If two profiles have the same count, a consistent internal identifier determines their order; that tie-break does not indicate a difference in quality.

The ranking covers eligible profiles available in the dataset used for the page. It is not a census of every creator on the platform. Learn more about what a creator’s ranking position means and why it can change.

A list claiming “highest engagement,” “fastest-growing,” or another performance result requires a separate methodology for that exact metric. Follower count alone cannot support those claims.

How to read engagement rate

Engagement rate shows the creator’s average likes across the last 30 posts relative to Followers. IQFluence calculates the metric by dividing the Average likes value by the Followers value.

Engagement rate (%) = Average likes ÷ Followers × 100

Illustrative example: if a creator has 50,000 followers and an Average likes value of 900, ER is 1.8%: 900 ÷ 50,000 × 100. The percentage does not mean that 1.8% of followers were uniquely identified as engaging.

To reproduce the value, use Average likes and Followers from the same analysis. A small difference may remain when the card displays rounded inputs.

Подтверждено по подсказкам в продукте: ER = Average likes ÷ Followers, а Average likes — arithmetic mean количества лайков по последним 30 публикациям. Не добавлять comments или views в формулу ER. Команде остаётся подтвердить поведение при наличии менее 30 публикаций, обработку hidden/unavailable/null/zero likes, включаемые форматы, точность, округление и момент фиксации обоих входных показателей.

An unavailable engagement value should not be read as 0%. When comparing creators, use the same formula and a comparable content sample.

For the other engagement figures on a creator card, see what Average likes means and how to read the engagement rate benchmark. These articles explain how to interpret each value alongside engagement rate.

How Instagram, TikTok, and YouTube should be compared

Read a creator’s rank within the platform and eligible group shown on the page. An Instagram follower, a TikTok follower, and a YouTube subscriber represent different platform relationships; equal totals do not establish equal reach.

Engagement rates use the same displayed relationship—Average likes divided by Followers—but the underlying content formats, samples, follower relationships, account sizes, and topics can differ across platforms. Equal rates therefore do not establish equal reach or equivalent campaign response.

For campaign planning, compare creators within the same platform and a similar content context first. Evaluate a creator’s accounts separately across platforms. Adding their follower and subscriber totals does not produce a unique audience count because some people may follow them in more than one place.

Which profiles are excluded?

A profile is excluded when it lacks the evidence or data required for the particular list. Reasons include:

• A weak or incidental topic match.

• Missing or ambiguous creator-location evidence.

• Too few analyzable posts after the 90-day extension, where content review is required.

• Unavailable follower or subscriber data needed for ordering.

• Insufficient audience data, or an estimated segment share below 60%, on audience-demographic lists.

• An unsupported identity, professional, or brand-relationship claim.

• A required human review that has not been completed or has rejected inclusion.

Specialized lists need evidence appropriate to their claims. Discussing a profession does not establish a professional qualification. A self-described job title does not establish a verified licence. Mentioning or featuring a brand does not establish a paid partnership or an ambassador role.

Creator-demographic lists require explicit public self-description or another approved direct source. Names, appearance, voice, and audience composition are not used to establish a creator’s identity. Sensitive categories require additional review of the evidence, wording, and purpose of the page.

Exclusion means a profile could not meet that list’s requirements using the available evidence. It is not a judgment about the creator’s value.

How current are the data?

The Data updated date identifies the data snapshot used for the published ranking. Qualification, counts, and ordering refer to that snapshot.

The underlying information may have different collection times: a follower count, an audience estimate, and a post sample are not necessarily refreshed together. The snapshot date should therefore not be interpreted as proof that every underlying value was collected on that day.

A change to the page’s wording does not, by itself, mean its creator data has been refreshed. Changes in rank can follow changes in follower counts, eligibility, available data, or the set of qualifying profiles.

Ranking lists are regenerated every three months. Follower and performance counts are scheduled for a daily refresh, while audience estimates are scheduled for reanalysis every 30 days. A scheduled refresh can fail when platform data is unavailable.

For a new ranking snapshot, we accept follower and performance counts collected within the previous 7 days and audience estimates analyzed within the previous 60 days. Profiles without sufficiently recent follower data are excluded. If audience data is too old, the audience field is shown as unavailable; the profile is also excluded from any list that requires that audience evidence.

The Data updated label refers to the ranking snapshot. Audience analyzed identifies the separate analysis date for the audience estimate. The latter appears beside the country breakdown in the full report. Editing page copy does not reset either data date.

Data updated: the snapshot used to select and order this list.

Before approaching a creator, check their current content and audience information against the needs of the planned campaign.

Are rankings manually reviewed?

The ranking rules define qualification and ordering. Human review is required where a page involves sensitive personal attributes, minors, regulated professional claims, or other matters that cannot be supported by routine classification alone.

For those pages, review covers whether the page has an appropriate purpose, whether the evidence supports inclusion, and whether the wording accurately describes that evidence. Required review must be completed before publication.

This requirement does not establish that every ordinary ranking or every creator profile has been individually checked by a person.

Standard rankings use automated eligibility and data checks. The IQFluence rankings editorial team also reviews samples during list audits and investigates reported mismatches. This does not mean that every profile in every ordinary list has been individually reviewed.

Lists involving sensitive personal attributes, minors or regulated professional claims require human review before publication. The reviewer checks the purpose of the page, the evidence supporting inclusion and the wording used to describe the creator. If required evidence or review is missing, the profile or page is not published.

Ordinary rankings are generated using automated eligibility and data checks. They are not individually reviewed before publication. Lists that require human review are published only after the required review has been completed.

Can a creator or brand pay for a higher position?

Creators and brands cannot pay to enter these rankings or improve a creator’s position. Purchasing an IQFluence subscription does not change eligibility, selection or ranking order. Commercial relationships do not create exceptions to these rules.

Who is responsible for the methodology?

Methodology maintained by the IQFluence product and data team.

Editorial review: IQFluence content team.

The product reviewer checks that this explanation matches the ranking and data processes in use. The content team maintains the reader-facing explanations and links.

To report a ranking error, email contact@iqfluence.io with the list URL, creator handle and a short explanation. Include a public source when it helps establish the correction.

The methodology owner is responsible for maintaining the selection rules and explaining material changes. The reviewer checks that this description matches the data and ranking process in use.

To report an incorrect profile classification or outdated information, contact IQFluence with the ranking URL, creator handle, and a brief explanation supported by a public source where possible. Please avoid sending unnecessary personal information.

What these rankings can and cannot tell you

Rankings provide a starting point for creator discovery. Their coverage depends on the profiles, posts, and audience data available for analysis. Missing information can exclude a relevant creator, while content and audience changes can make an earlier classification less useful.

Location and demographic estimates involve uncertainty. Public profile descriptions may be incomplete or outdated. Follower count measures account size; it does not measure unique campaign reach, purchasing intent, or guaranteed results.

Before adding a creator to a campaign, review recent content, audience fit, previous sponsored work, and your brand-safety requirements. Use the ranking to build a shortlist, then assess that shortlist against the actual brief.