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Data feature

How We Match Creators
Across Platforms

A visual walkthrough of the influencers.club cross-matching engine. How we map every profile that belongs to the same creator, powered by cross-platform analysis.

Validation ↓
IG @nikolatravels
YT NikolaTravels
TT @nikolatravels
One creator match confirmed

Matching the same creator across platforms looks simple from the outside, but it isn't. Usernames change, biographies are edited, profile pictures get reused. No single signal is reliable on its own, so dozens of signals are weighed by source, and a match is confirmed only when the evidence agrees. The steps below walk through how this works.

1

Every Public Source Is Brought Together

Links and profile data are drawn from every publicly available source. Bio links, captions, link-in-bio tools, and critically, web search results that verify each creator's online presence across platforms.

Where links come from. 5 major sources converge into one signal pool

Web Search Online presence check
Bio Sections Profile bios · About sections
Link-in-Bio Linktree · bio.fm
Captions & Posts cross-platform mentions
Websites personal sites · footers
Example: Creator "NikolaTravels"

His Instagram bio has a Linktree that links to his YouTube and TikTok. His YouTube channel description links back to his Instagram. A web search turns up a fourth profile and a personal blog that links to all of them. That gives us six or more links across three or more independent sources, which is a very strong signal.

2

We Cross-Verify Across Sources

Each link is weighted based on the source it came from, and the signal strengthens when multiple independent sources agree. For example, a Web Search result and a bio link pointing to the same profile yield high confidence.

Visual Example. How Source Agreement Multiplies Confidence

Web Search finds @nikola on YouTube
+
Bio Link also links to the same profile
=
Much Stronger Signal
Web Search onlyMedium
Bio link onlyHigh
Web Search + Bio link agreeVery High
Multiple sources + reciprocal linksHighest
3

We Map All Connections as a Graph

Every link becomes a weighted connection on a map. The weight depends on where the link was found and whether multiple sources confirm it. Reciprocal (two-way) links carry the most weight.

Visual Example. Connection Map for "NikolaTravels"

IG YT TT blog
Highest Weight. Multiple sources agree Medium Weight. Single source (bio or web search) Lower Weight. Indirect or caption mention
4

We Identify Creator Clusters

Connected profiles form a "cluster": a group that likely belongs to the same person. Each cluster is scored based on how tightly connected it is. Reciprocal links and dense, multi-source connections produce higher confidence.

Visual Example. Strong vs. Weak Clusters

Strong Cluster "NikolaTravels"
IG YT TT

3 platforms, all reciprocal
Web search + bio agree

Weak Cluster "BorisLifeLog"
IG YT TT

1 one-way link, no TikTok
Single source only

5

We Analyze Each Linked Profile

For every linked profile, we add weights and look for matches across 6 key dimensions: first name, same profile picture, gender, location, bio/captions text, and niche. The more dimensions that align, the stronger the match.

Visual Example. 6-Dimension Profile Comparison

Instagram @nikolatravels
Nikola K. Lisbon "Exploring the world one city at a time"
First Name ✓ Same picture ✓ Gender ✓ Location ✓ Bio Text ~ Niche ✓
YouTube NikolaTravels
Nikola Krstev Lisbon, Portugal "Travel vlogs, tips & hidden gems"
✓ First Name Both "Nikola" ✔
✓ Profile Picture Same picture used on both accounts
✓ Gender Both male ✔
✓ Location Both Lisbon ✔
~ Bio / Captions Shared "travel" keywords
✓ Niche Both Travel ✔
6

Our Algorithm Determines the Best & Worst Match

All the signals (link sources, cross-verification, and the six profile dimensions) are combined by our algorithm to determine which profiles most likely belong to the same creator. Only high-confidence matches are returned, and any profile that drifts from the rest of the cluster is removed before the result is published.

How Everything Comes Together

Collect Linksbio + web search + more
→
Cross-Verifysource agreement
→
Build Graphweighted connections
→
Analyze Profiles6 dimensions
→
Matchconfidence score

Cutting Profiles That Don't Belong to the Cluster

A linked group of profiles is only published as a single creator when the profiles agree on the core identity signals: first name, location, language, and the broader content niche. When one profile in a candidate cluster disagrees on those signals, it is removed before the match is finalised. This prevents fan pages, namesakes, and mistaken web search results from contaminating a real creator's identity.

IG YT TT fan
Kept in the cluster

Profiles that agree on first name, location, language, and content niche, and are connected by multi-source link evidence.

Cut from the cluster

Profiles linked by a single weak signal but disagreeing with the cluster on identity attributes. Removed before the match is published.

End-to-End Example

A complete example showing how all six steps produce a confident, verified match.

Instagram @nikolatravels 12.4K followers
YouTube NikolaTravels 45.2K subscribers
TikTok @nikolatravels 89.1K followers
X @NikolaTravels 3.8K followers
Combined Confidence Scores:
Link Sources (Web Search + Bio)94%
First Name Match100%
Same profile picture96%
Gender + Location100%
Bio / Captions Text82%
Niche Alignment98%
MATCH CONFIRMED

All four profiles belong to the same creator, verified by multiple independent sources and six profile dimensions.

How We Validate the Matches

Every match published goes through the same two-track validation process used for every data point on this site: at least two independent AI sources cross-checking tens of thousands of records, plus manual review of at least 1,000 records per subset.

Measured Accuracy

96% accuracy vs. ground truth cross-platform matches verified across independent public sources

The Two Validation Tracks

Multi-AI Cross-Validation
  • At least 2 independent AI sources verify each candidate match
  • Tens of thousands of records per validation cycle
  • Outputs are compared to flag matches the AIs disagree on
  • Two AI sources agreeing is a much stronger signal than one
Stratified Manual Review
  • At least 1,000 matches reviewed per subset
  • Subsets defined across country, language, follower bucket, account type, niche
  • Catches edge cases random sampling would miss
  • Reviewers blind to the pipeline's prediction, verify the match against the live profiles

Complete Creator Profiles

By combining Web Search results, multi-source cross-verification, weighted graph analysis, and six-dimension profile comparison, we produce a complete and reliable map of each creator's accounts across platforms.

6 Layers of Analysis
✓ Web Search Verified
6 Profile Dimensions
5+ Data Sources