Modash

Modash is an influencer marketing platform built for brands and agencies that need to find, vet, and manage creator partnerships at scale. Developed by the Estonia-based company of the same name, it targets performance marketers, growth teams, and social media managers who rely on influencer campaigns as a core acquisition channel. The tool centers on data accuracy and filtering depth rather than campaign aesthetics, making it better suited for teams that make decisions based on audience metrics rather than gut feel.

How Modash works

After connecting your account, you get access to a searchable database of over 250 million creators across Instagram, TikTok, YouTube, and Twitch. You can filter by location, niche, follower range, engagement rate, and audience demographics. Modash scores each creator’s audience for fake or low-quality followers, giving each profile a credibility signal before you reach out. Once you identify matches, built-in email outreach tools let you contact creators directly from the platform. Active campaigns can be tracked inside Modash, pulling performance data into a centralized dashboard rather than requiring you to log into each social network separately.

Strengths

• Database breadth. 250 million creator profiles is a large working pool. Teams targeting niche audiences or non-English markets are less likely to hit dead ends than they would on smaller platforms.
• Fake follower detection. Most influencer tools show follower counts without quality scoring. Modash surfaces this data upfront, which helps teams avoid paying for reach that does not translate to real people.
• Audience-level filters. You can filter not just by a creator’s demographics but by the demographics of their actual audience. This distinction matters when your product has a specific buyer profile.
• Campaign tracking. Bringing discovery, outreach, and performance reporting into one tool reduces the patchwork of spreadsheets and manual tracking that most influencer programs rely on.

Limitations

• Pricing floor. Starting at $99 per month, Modash is not positioned for individual creators, freelancers, or very small teams running occasional one-off campaigns. The value scales with volume.
• No managed service. Modash is self-serve software. Teams that want a managed agency experience or creator negotiation support will need to handle that separately.
• Data freshness varies by creator. As with any large scraped database, profile data on smaller or newer creators can lag behind what is actually current on the social platform.
• Learning curve on advanced filters. The depth of filtering that makes Modash powerful also means new users need time to understand which combinations produce useful results versus over-filtered empty queries.

Who it is for

Modash fits marketing teams running consistent influencer programs across multiple campaigns per quarter. It is particularly useful for direct-to-consumer brands, e-commerce companies, and agencies that manage influencer campaigns for multiple clients. If your team regularly spends hours vetting creators manually or has been burned by low-engagement accounts with inflated follower counts, the filtering and fake follower scoring justify the subscription. It is less appropriate for one-time activations or teams without a dedicated person to manage creator relationships.

How it compares

Modash sits in a different category from general creative tools. Platforms like Canva and Canva AI serve the design side of influencer marketing, helping teams produce briefs, social assets, and campaign materials once partnerships are in place. Modash handles the upstream work of finding the right creators before any content is produced. Teams typically use both: a discovery and vetting tool like Modash to identify and manage partnerships, and a design tool to produce the deliverables. If your current bottleneck is identifying which creators to work with and verifying their audience quality, Modash addresses that gap directly. If your bottleneck is creative production, the comparison points differ.