The number of creators across different platforms has grown exponentially. While this creates opportunities, it also introduces friction:

• Manually evaluating creators across platforms is time-consuming

• Public metrics often fail to reflect real audience quality

• Audience authenticity is hard to verify without deep data

• Content relevance cannot be assessed accurately at scale

Without access to a robust influencer marketing database, teams are forced to work with partial information, leading to slower timelines and inconsistent outcomes.

 

Being “brand-right” is not about popularity. It’s about alignment, measured through data, not assumptions.

From a data perspective, the right creator demonstrates:

• Consistent engagement metrics, not inflated follower counts

• Content relevance aligned with specific topics or industries

• An audience that matches the required demographics and interests

• Credible followers, free from bots and suspicious activity

ON Social enables this level of evaluation by combining creator performance metrics with deep audience intelligence, allowing teams to make confident, data-backed selections.

 

ON Social offers one of the largest influencer marketing databases available today, covering all public creator accounts with 1,000+ followers across Instagram, TikTok, and YouTube. 

This database is accessible via both web interface and API, making it suitable for agencies, influencer platforms, SaaS products, and research teams that require reliable social data at scale. Here’s how ON Social makes influencer discovery easier: 

Step 1: Discover Relevant Creators in Minutes

1. Advanced Influencer Search & Discovery 

ON Social’s influencer tracking software allows users to filter creators using over 25 data-driven parameters, including:

• Geography, age, and gender

• Audience interests and brand affinity indicators

• Historical brand partnerships

• Engagement rate and posting frequency

• Keywords, mentions, and hashtags used in the last 150 posts

Instead of reviewing profiles manually, teams can surface highly relevant creator lists within minutes.

2. Topic Tensor: Content Relevance at Scale

At the core of ON Social’s discovery engine is Topic Tensor, a proprietary system inspired by search engine algorithms. It categorizes creators based on actual posting behavior and content themes, eliminating guesswork and manual content scanning. 

Step 2: Validate Creators with In-Depth Performance Data

1. Creator Performance Metrics That Matter

ON Social provides detailed performance insights, including:

• Average likes, comments, views, saves, and shares

• Engagement rate trends

• Popular hashtags and mentions

• Content-level performance data

These metrics allow teams to compare creators objectively using consistent benchmarks.

2. Audience Intelligence Beyond Surface-Level Metrics

Understanding a creator’s audience is critical. ON Social delivers rich audience data, such as:

• Demographic, psychographic, and geographic breakdowns

• Audience credibility analysis (bots, mass followers, suspicious accounts)

• Audience interests and brand affinity indicators

• Notable followers and notable likers

This depth of creator data ensures that decisions are driven by audience quality, not inflated metrics.

Step 3: Build Smarter Shortlists with Data Exports & Overlap Analysis

1. Audience Overlap for Strategic Selection

For Instagram and YouTube, ON Social offers Audience Overlap analysis, enabling users to:

• Measure the percentage of shared audience between creators

• Avoid redundant creator selections

• Build diversified creator pools using data
  
  

2. Flexible Data Exports for Internal Workflows

Once creators are shortlisted, users can export datasets:

• With or without contact information

• In XLS, CSV, JSON, or PDF formats

This makes ON Social an ideal data layer for teams that need structured influencer data within their own systems. 

 

Once creators are identified and validated, teams often need to understand their historical involvement in paid collaborations. Rather than relying on manual scanning, ON Social enables this through structured data.

Sponsored Post Identification on Instagram

ON Social’s Sponsored Posts tool allows users to identify paid Instagram posts using:

• Hashtags associated with sponsorship disclosures

• Mentions of sponsors or partners

• Advertiser-linked indicators

This data can be used to monitor influencer marketing activity, analyze competitive landscapes, and understand how creators typically engage in sponsored content—without managing campaigns or outreach.

 

For agencies, platforms, and tech companies that require live data, static datasets are often not enough. ON Social addresses this need by offering real-time access to social data through APIs.

Raw API Access for Fresh Creator and Post-Level Data

ON Social’s Raw API provides real-time access to:

• Influencer profile information and follower counts

• Post-level likes, comments, views, captions, and timestamps

• Hashtags, mentions, and audio feed data

This enables teams to:

• Track creator performance as it evolves

• Detect new posts as they go live

• Power internal dashboards, research tools, and analytics products

By serving as a reliable data layer, ON Social ensures influencer marketing analytics remain accurate, current, and scalable.

Finding brand-right creators no longer needs to be a slow, manual process. With ON Social, teams gain immediate access to structured creator data, audience intelligence, and influencer marketing analytics, enabling faster, smarter decisions at scale.

Stop spending weeks validating creators with incomplete information. Power your discovery, evaluation, and tracking workflows with ON Social’s global influencer marketing database and real-time creator data. 

Explore ON Social’s data solutions today and turn creator selection into a scalable, data-driven advantage. 

 

1. What is ON Social primarily used for?

ON Social is used to access large-scale creator and audience data for discovery, evaluation, and influencer marketing analytics across Instagram, TikTok, and YouTube.

2. Who typically uses ON Social?

Influencer marketing agencies, influencer platforms, SaaS products, and research teams that require scalable, reliable creator data via web dashboards or APIs.

3. How does ON Social help speed up creator discovery?

By providing advanced filters, content relevance technology, and centralized creator data, ON Social replaces manual research with fast, data-driven workflows.

4. What platforms does ON Social support?

ON Social provides creator data for Instagram, TikTok, and YouTube, covering all public accounts with 1,000+ followers.

5. Does ON Social provide audience insights?

Yes. ON Social offers demographic, psychographic, geographic, and audience credibility data to help teams evaluate audience quality and alignment.

6. Can ON Social data be exported or integrated?

Yes. Creator data can be exported in multiple formats or accessed via APIs for integration into internal tools and analytics systems.