Commissioned Research
Top 10 Best Influencer Search Software of 2026

GITNUXSOFTWARE REVIEW

Digital Marketing

Top 10 Best Influencer Search Software of 2026

Compare influencer search software options and use this roundup to shortlist tools for finding creators, tracking reach, and managing discovery workflows.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

AI search agents find sources, extract figures with provenance, and aggregate written reviews. They also transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Influencer search software matters because creator selection depends on data models for audience fit, engagement signals, and brand-safe risk, not just follower counts. This comparison helps analysts, operators, and technical evaluators weigh how each platform handles discovery workflows, measurement outputs, and integration readiness for teams scaling creator programs at speed.

Traackr is the best overall pick for mid-size marketing teams because its audience-led discovery workflow pairs creator vetting with brand safety filtering to cut risky picks before outreach, while HypeAuditor is the better choice for agencies needing multi-network creator shortlists backed by an Audience Quality Score.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Traackr

Brand safety filtering combined with audience-led vetting inside the discovery workflow reduces unsafe creator picks before outreach.

Best for: Fits when mid-size marketing teams need audience-led influencer discovery plus CRM-style workflow continuity.

2

HypeAuditor

Editor pick

Audience Quality Score combines authenticity, reachability, and engagement signals into a creator-vetting metric.

Best for: Fits when agencies need fast, data-based creator shortlists across multiple social networks.

3

Influencity

Editor pick

Collaboration history export ties sourcing decisions to prior creator relationships for faster outreach planning.

Best for: Fits when marketing teams need quick creator shortlists with filter-driven screening and practical outreach handoffs.

Comparison Table

1
TraackrBest overall
enterprise
9.3/10
Overall
2
specialist
8.9/10
Overall
3
8.8/10
Overall
4
enterprise
8.4/10
Overall
5
8.1/10
Overall
6
7.8/10
Overall
7
enterprise
7.6/10
Overall
8
7.1/10
Overall
9
enterprise
6.8/10
Overall
10
6.5/10
Overall
#1

Traackr

enterprise

Influencer management platform with discovery, analytics, and performance measurement for global brands.

9.3/10
Overall
Features9.0/10
Ease of Use9.5/10
Value9.5/10
Standout feature

Brand safety filtering combined with audience-led vetting inside the discovery workflow reduces unsafe creator picks before outreach.

Traackr is an influencer search solution with a creator database built around brand-safety screening and audience-focused vetting. Creator discovery supports audience demographics filter and engagement rate threshold checks while surfacing reach vs engagement comparison so prioritization stays data-led.

Traackr also connects influencer CRM workflows to collaboration history and supports campaign attribution tracking for influencer-driven performance. For teams that need repeatable outreach and reporting across multiple campaigns, Traackr’s search-to-workflow flow reduces manual spreadsheet stitching.

Pros
  • +Audience demographics filter and engagement rate threshold controls speed up shortlisting.
  • +Brand safety filtering helps screen against risky creator signals during discovery.
  • +Collaboration history supports continuity when planning follow-on influencer outreach.
  • +Campaign attribution tracking ties creator selection to downstream performance reporting.
Cons
  • –Creator vetting workflow can require disciplined configuration to avoid noisy results.
  • –Social search coverage across TikTok creator search and Instagram may require manual refinement.
  • –Extensibility via API depends on integration planning rather than ready-made endpoints for every stack.
Use scenarios
  • Influencer marketing analysts

    Compare creator and campaign performance

    Comparable cross-campaign reporting

  • Influencer operations teams

    Maintain outreach and partnership context

    Consistent relationship management

Show 2 more scenarios
  • Brand and marketing teams

    Shortlist creators by audience and fit

    Qualified shortlist for outreach

    Filter creator profiles using demographics and engagement thresholds for brand-aligned recommendations.

  • Influencer agencies and global brands

    Run multi-market programs with oversight

    Centralized multi-market coordination

    Organize creators, campaigns, and regions to support shared execution and reporting workflows.

Best for: Fits when mid-size marketing teams need audience-led influencer discovery plus CRM-style workflow continuity.

#2

HypeAuditor

specialist

AI-driven influencer discovery and fraud detection platform covering Instagram, YouTube, TikTok, and Twitch.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Audience Quality Score combines authenticity, reachability, and engagement signals into a creator-vetting metric.

HypeAuditor supports creator discovery across Instagram, TikTok, and YouTube from one research environment. Search results can be narrowed by audience location, age, gender, language, interests, content categories, and performance indicators. Its Audience Quality Score combines authenticity, reachability, and engagement signals for creator vetting.

The main tradeoff is that campaign execution is less extensive than discovery and analytics. Teams running large creator programs can use API access, exports, and workflow integrations to transfer research data into internal systems. HypeAuditor fits agencies that need to compare many creators before selecting candidates for outreach.

Pros
  • +Cross-network search covers Instagram, TikTok, and YouTube creators
  • +Audience quality scores expose suspicious follower patterns
  • +Filters include demographics, location, language, interests, and content categories
  • +API access supports custom research workflows and internal reporting
Cons
  • –Advanced workflows require careful taxonomy and saved-search governance
  • –Available metrics differ across supported social networks
  • –Outreach execution is lighter than discovery and analytics
  • –Large-scale teams may need technical support for API implementation
Use scenarios
  • Influencer marketing agencies

    Shortlisting creators for client campaigns

    Faster client-ready shortlists

  • Consumer brand marketers

    Screening creators before outreach

    Lower creator selection risk

Show 1 more scenario
  • Marketing data teams

    Feeding creator data into systems

    Centralized creator intelligence

    Data teams can use API access and exports to connect creator research with internal reporting workflows.

Best for: Fits when agencies need fast, data-based creator shortlists across multiple social networks.

#3

Influencity

SMB

Influencer marketing platform with AI-based search, campaign management, and measurement.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Collaboration history export ties sourcing decisions to prior creator relationships for faster outreach planning.

Influencity is an influencer discovery and search system built for teams that need creator shortlists quickly and then run a consistent outreach workflow. It combines a creator database with audience and performance filters so selections can be narrowed by fit, not just follower counts.

The tool also supports influencer CRM integration patterns that keep campaign context attached to creators during sourcing and evaluation. For fast creator search, Influencity’s value comes from filterable discovery and exportable collaboration history for downstream outreach coordination.

Pros
  • +Creator search supports multi-constraint filtering for faster shortlist building
  • +Audience and engagement criteria help reduce obvious mismatch in early screening
  • +Collaboration history export supports repeat outreach planning
  • +Workflow supports moving selected creators into outreach operations
Cons
  • –Collaboration-history usefulness depends on prior activity being present in the dataset
  • –Automation depth for large multi-brand programs can require hands-on process design
  • –Granular brand-safety controls are narrower than in vetting-first workflows
  • –Creator outreach data completeness varies by creator account coverage
Use scenarios
  • Influencer marketing and brand teams

    Search and shortlist creators by audience fit

    More consistent shortlists

  • Creator partnership managers

    Track outreach and replies in CRM flow

    Clear engagement records

Show 2 more scenarios
  • Influencer analytics program teams

    Compare campaign metrics to refine selections

    Performance-driven creator decisions

    Teams review creator and campaign performance signals to update active and future shortlists.

  • Brands with creator governance

    Apply eligibility checks before participation

    More consistent eligibility approvals

    Brands run safety, quality, and review steps to keep creator partnerships within eligibility requirements.

Best for: Fits when marketing teams need quick creator shortlists with filter-driven screening and practical outreach handoffs.

#4

NeoReach

enterprise

Influencer search and campaign platform built for brands and agencies managing paid creator campaigns.

8.4/10
Overall
Features8.4/10
Ease of Use8.5/10
Value8.3/10
Standout feature

Creator discovery results link directly into creator vetting and outreach workflow steps to maintain context across campaigns.

NeoReach targets influencer search by combining creator discovery with audience and performance signals to support creator vetting at scale. Search results can be filtered by channel attributes and then moved into outreach workflows so teams do not rebuild lists manually.

Pros
  • +Creator discovery workflows reduce list rework during sourcing cycles
  • +Audience and engagement filters support faster creator shortlisting
  • +Collaboration around shared creator lists supports multi-researcher teams
  • +Discovery refresh helps keep creator sets aligned with new campaigns
Cons
  • –Complex filters can require more testing before reliable ranking
  • –Export and integration options may be narrower than full CRM ecosystems
  • –Advanced automation depends on configured outreach workflow steps
  • –Coverage across smaller platforms can be less consistent than category leaders
Use scenarios
  • Brand marketing teams

    Manage recurring influencer program creator records

    Consistent creator relationship management

  • Consumer brand marketers

    Coordinate micro-influencer briefing and approvals

    Lower coordination demands

Show 2 more scenarios
  • Influencer marketing managers

    Run multi-step influencer recruitment outreach

    More organized recruitment pipeline

    Plan outreach steps, personalize messages, track responses, and progress creators into campaign participation.

  • Marketing operations teams

    Aggregate results for ROI performance reviews

    Standardized campaign reporting

    Compile campaign activity and creator outcomes using available attribution signals for standardized reviews.

Best for: Fits when marketing teams need creator discovery plus audience and engagement filtering for repeatable sourcing workflows.

#5

Modash

SMB

Creator discovery and analytics platform with a free plan and coverage across Instagram, YouTube, and TikTok.

8.1/10
Overall
Features8.1/10
Ease of Use8.0/10
Value8.2/10
Standout feature

Lookalike search builds prospect lists from a creator’s audience, content, and performance profile.

Growth teams with a defined niche can move from one suitable creator to a broader prospect list using lookalike search. Modash supports filtering by location, audience attributes, content category, follower count, and engagement signals. Its creator database also shows recent content and audience quality indicators before outreach begins.

Pros
  • +Lookalike search turns one suitable creator into a targeted prospect list.
  • +Search spans Instagram, TikTok, and YouTube creator profiles.
  • +Audience demographics filter supports country, age, gender, and language targeting.
  • +Public contact details and CSV exports support outreach handoffs.
Cons
  • –Some audience fields depend on platform data availability.
  • –Campaign reporting requires disciplined tagging across creator activities.
  • –API access suits custom teams more than casual users.
  • –Fake follower detection does not replace manual brand-safety review.
Use scenarios
  • Agency influencer teams

    Build client-specific creator shortlists

    Faster client prospecting

  • Ecommerce growth teams

    Find niche product creators

    More relevant creator leads

Show 1 more scenario
  • Marketing operations teams

    Connect creator data workflows

    Less manual data handling

    The API provides creator and audience data for internal research tools, reporting systems, and prospecting workflows.

Best for: Fits when teams need fast creator sourcing with audience validation and exportable shortlists.

#6

Heepsy

SMB

Influencer search tool with audience demographics, engagement metrics, and list-building for multiple platforms.

7.8/10
Overall
Features7.8/10
Ease of Use7.8/10
Value7.8/10
Standout feature

Creator search with built-in contact discovery and saved shortlist management.

Heepsy gives agencies and brands detailed creator searches across Instagram, TikTok, and YouTube. Audience breakdowns include location, age, gender, and interests, while creator metrics support candidate comparison before outreach. Saved lists and profile reports make repeated sourcing easier.

Pros
  • +Filters cover niche, location, audience attributes, follower count, and engagement.
  • +Built-in contact discovery reduces manual creator research.
  • +Saved lists support repeat sourcing and team handoffs.
  • +Profile reports provide audience and performance context.
Cons
  • –No public API supports custom discovery workflows.
  • –Campaign execution and attribution controls are limited.
  • –Results depend on available creator profile data.
  • –Enterprise governance features are lighter than dedicated campaign suites.
Use scenarios
  • Influencer marketing agencies

    Building segmented creator shortlists

    Faster shortlist production

  • Regional consumer brands

    Planning local product launches

    More relevant candidates

Show 1 more scenario
  • Social media managers

    Preparing creator outreach

    Cleaner outreach queues

    Profile contact details reduce spreadsheet work before initial creator communications.

Best for: Fits when agencies need fast, filter-heavy creator shortlisting across Instagram, TikTok, and YouTube.

#7

Julius

enterprise

Influencer search and relationship management platform with detailed creator profiles and campaign tools.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Creator research exports designed for outreach handoff, supported by an API for automated list building.

Julius focuses on influencer discovery and research workflows built around creator search results and contact-ready outputs. The workflow emphasizes fast filtering on creator attributes, then structured export of findings for outreach and CRM handoff.

Pros
  • +Creator search results are exportable in outreach-friendly formats
  • +API and integrations support programmatic creator lookup and enrichment
  • +Filtering helps narrow lists before manual review starts
  • +Built for repeat campaigns with reusable research workflows
Cons
  • –Outreach execution lives outside the tool for many teams
  • –Search-to-CRM automation needs technical setup for full coverage
  • –Coverage depth varies by platform and geography
  • –Advanced validation relies on workflow choices rather than one-click scoring
Use scenarios
  • Influencer marketing managers

    Shortlist creators for active campaigns

    More qualified outreach targets

  • Brand partnerships teams

    Vet creators during ongoing onboarding

    Faster creator approval cycles

Show 2 more scenarios
  • Growth and analytics teams

    Programmatically query creator markets

    Lower manual research workload

    Uses the API to run automated searches and downstream processing for reporting.

  • Agencies running multi-client rosters

    Maintain separate discovery pipelines

    Consistent outreach operations

    Organizes creator search results into structured exports for each client workflow.

Best for: Fits when teams need creator search speed plus API-ready outputs for CRM and outreach pipelines.

#8

Ainfluencer

SMB

Free influencer marketplace connecting brands with Instagram and TikTok creators through a bid-based system.

7.1/10
Overall
Features7.1/10
Ease of Use7.2/10
Value7.0/10
Standout feature

Creator search results support exporting a ready-to-work contact list for external campaigns.

Ainfluencer targets teams that need creator discovery and shortlist building across major social networks, with search filters aimed at speed. Creator profiles are organized around performance and audience signals, which supports vetting before outreach.

Pros
  • +Fast creator search with multi-attribute filtering for shortlist creation
  • +Creator pages consolidate key performance and audience indicators
  • +Built for exporting creator contact lists into external outreach tools
  • +Works well for recurring discovery cycles where manual review is expected
Cons
  • –Limited evidence of RBAC and audit log controls for team governance
  • –Automation for outreach and tracking is less comprehensive than higher-ranked competitors
  • –Data enrichment and authenticity scoring depth feels narrower than category leaders
  • –Customization options for discovery and tagging are comparatively constrained
Use scenarios
  • Influencer marketing teams

    Source creators for campaign outreach lists

    Shortlisted outreach-ready creator roster

  • Partnerships managers

    Vet creators using performance signals

    Reduced wasted outreach

Show 2 more scenarios
  • Agencies running multiple brands

    Build lead databases by client

    Faster cross-client creator sourcing

    Organize discovered leads into separate exports for client collaboration and workflow handoff.

  • Growth and marketing analytics

    Support creator benchmarking before contact

    Better creator selection decisions

    Use profile performance and audience signals to compare options before committing to outreach.

Best for: Fits when teams need quick creator shortlists and exported contact data for manual outreach.

#9

Later Influence

enterprise

Creator marketing platform combining influencer discovery with social scheduling, formerly Mavrck.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Creator selection feeds directly into the outreach and collaboration planning workflow maintained within the Later environment.

Later Influence supports creator discovery using database browsing and performance based filtering so teams can shortlist candidates without building custom searches.

Pros
  • +Creator discovery filters are built into one workflow instead of separate tooling.
  • +Selection of creators can be carried into later planning steps for fewer handoffs.
  • +Creator performance signals support side-by-side evaluation during shortlisting.
  • +Works smoothly for teams already using Later for content publishing coordination.
Cons
  • –Depth of audience authenticity scoring and fake follower detection is not as granular as CRM-first tools.
  • –Automation and provisioning options for large multi-team governance are limited.
  • –Collaboration history export and structured campaign attribution may be less detailed than enterprise influencer CRMs.
  • –Search coverage across platforms is less comprehensive than broader creator databases.
Use scenarios
  • Creator partnership managers

    Track outreach sequences and responses

    Centralized outreach and relationship tracking

  • Brand marketing teams

    Shortlist creators for campaigns

    Structured creator sourcing workflow

Show 2 more scenarios
  • Social and influencer marketing teams

    Coordinate content permissions and whitelisting

    Fewer permission coordination issues

    Manage creator approvals so teams follow publishing requirements during campaign execution.

  • Social media teams

    Organize influencer campaign content

    Faster access to submissions

    Collect and track campaign assets and submission status in one place for review workflows.

Best for: Fits when mid-market teams need fast creator shortlists with consistent workflow handoff to Later-based execution.

#10

Creator.co

SMB

Influencer marketing platform combining creator search, marketplace, and campaign management for SMBs.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

Shortlist-centric workflow that carries creator selection from discovery into export-ready evaluation lists.

Creator.co provides influencer search inside its creator database, with filters for creator profile signals and audience characteristics. It focuses on surfacing creators by niche relevance and content fit, then supports shortlist-driven creator outreach workflow planning.

Pros
  • +Creator search results include audience and niche cues for faster shortlisting
  • +Shortlist exports support handoff to outreach tools and spreadsheets
  • +Workflow-oriented list management keeps discovery and evaluation aligned
  • +Filtering stays usable for teams without building custom query logic
Cons
  • –Influencer CRM integration depth is limited versus full relationship management tools
  • –Automations and approvals lack the granularity found in enterprise review systems
  • –Coverage for specific platforms can be uneven across niches
  • –Advanced audience authenticity scoring features are not as transparent
Use scenarios
  • Brand marketers and agencies

    Search and shortlist creators for campaigns

    Review-ready creator shortlist

  • Campaign managers

    Coordinate repeat influencer campaign workflows

    More consistent execution

Show 2 more scenarios
  • Influencer program managers

    Recruit creators via marketplace pipeline

    Structured recruitment pipeline

    Program managers use marketplace workflows to source creators and manage applications or recruitment steps.

  • Influencer relationship managers

    Preserve history across creator outreach

    Continuity across collaborations

    Influencer managers connect creator profiles and prior campaign activity to ongoing outreach context.

Best for: Fits when mid-size teams need fast creator database search and shortlist exports without heavy CRM overhead.

Conclusion

After evaluating 10 influencer search software, Traackr stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Traackr

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Influencer Search Software

Which tools are strongest for creator search across Instagram, TikTok, and YouTube?
HypeAuditor, Modash, Heepsy, and Traackr all support multi-network creator discovery across Instagram, TikTok, and YouTube. Modash adds lookalike search from a known creator or reference asset, while Traackr emphasizes brand-safety screening inside the vetting workflow.
How do Audience Quality Score and similar authenticity metrics change vetting outcomes?
HypeAuditor uses an Audience Quality Score that combines authenticity, reachability, and engagement signals into a single vetting metric. That approach changes shortlisting by deprioritizing suspicious follower patterns before outreach is planned.
What breaks if the workflow requires a strict brand-safety gate before any outreach list is exported?
Traackr’s brand safety filtering is designed to catch unsafe creators during discovery so exported lists align with screening decisions. Tools like Creator.co can carry shortlist-driven exports, but governance depth is lighter than enterprise-style safety gates, which can force extra manual checks.
How do lookalike search and audience overlap approaches differ from standard filters?
Modash builds prospect lists with lookalike search that starts from a creator’s audience and performance profile instead of only applying audience demographics filter criteria. HypeAuditor and NeoReach both focus on creator discovery plus audience analytics, which supports validation but does not replace lookalike prospect generation.
When should teams choose search-first workspaces over search-to-workflow suites?
Heepsy is search-first with a single workspace for filter-heavy shortlisting and contact discovery, so list management stays close to discovery. NeoReach and Traackr move discovery results into vetting and outreach workflow steps, which reduces handoffs but increases process coupling.
Which platform supports API automation for building and updating creator lists?
Julius offers an API for programmatic querying and automated list building from creator research outputs. HypeAuditor and Modash also provide API and reporting features that support larger research operations and exportable shortlists.
How do integrations to influencer CRM workflows affect collaboration history and campaign attribution tracking?
Traackr connects influencer CRM workflow patterns to collaboration history export and supports campaign attribution tracking tied to influencer-driven performance. Influencity also targets influencer CRM integration patterns to keep campaign context attached to creators during sourcing and evaluation.
Where does extensibility matter most for scaling creator vetting across teams?
Julius supports automation via integrations and an API surface, which helps teams standardize how creator research outputs become outreach-ready records. NeoReach adds administrative controls for team access to creator lists and workflow steps, which supports multi-user collaboration during repeatable sourcing.
What is a common failure mode when exported creator contact databases do not match the audience analytics view?
A split between discovery filters and export formatting can lead to outreach lists that do not reflect the same audience authenticity scoring or engagement checks. HypeAuditor and Traackr reduce this mismatch by keeping audience-led vetting decisions in the same discovery-to-export workflow.
Which tool is built to keep discovery and execution inside the same operational environment?
Later Influence carries selected creators into an outreach and collaboration planning flow maintained within the Later environment. That contrasts with tools like HypeAuditor and Julius that emphasize exporting and automation for downstream pipelines outside the discovery workspace.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Influencer Search Software

We look for influencer search software that separates “source-quality search” from “how you act on results,” mainly through data freshness and automation depth in the workflow. The best matches usually show reliable search filters, exportable results, and clear enrichment fields when you shortlist creators for outreach.

Recency of creator and post data

Why it matters

Recency of creator and post data matters because influencer search is only useful when results reflect current audiences, recent activity, and active platforms. Outdated snapshots cause missed creators and wrong engagement signals during discovery.

How to check

Ask for a live search and sort by newest posts; open a few creator profiles and confirm the posted date matches what you see on the underlying platform. Then check how often the tool refreshes these fields by reviewing the product docs or release notes language about data updates.

Search filters that match real scouting

Why it matters

Search filters that match real scouting save time and reduce irrelevant creators. When your query can’t narrow by the signals you actually use, the short list becomes manual work.

How to check

Run two demo searches: one for a narrow niche and one for a broader brand fit. Verify the filters let you combine platform, category/niche, audience size bands, and engagement-related signals in a way that changes results immediately.

Audience authenticity evidence fields

Why it matters

Audience authenticity evidence fields matter because influencer search often turns on whether followers behave like real audiences. If the tool only labels “authenticity” without showing evidence, you can’t judge risk during discovery.

How to check

For 3–5 creators, review what authenticity fields show (what inputs they rely on) and whether they include uncertainty or limitations. Compare the tool’s stated logic in docs with what appears in the UI for the same creators.

Shortlist and collaboration workflow

Why it matters

Shortlist and collaboration workflow matters because influencer search isn’t a single screen; teams need to review, share, and revise the same creator set. Without a real workflow, results get lost between exports and spreadsheets.

How to check

Create a shortlist from search results and confirm you can add notes, tags, and status. Then invite a second user (or request a demo) to see whether changes, comments, and reordering persist across sessions.

Creator outreach automation and templates

Why it matters

Outreach automation surface matters because search outcomes must translate into contact workflows without rework. If templates and actions can’t be configured, the product becomes a passive directory instead of a controlled workflow tool.

How to check

In the demo, set up a message template and trigger a basic workflow step tied to a shortlist entry. Confirm the tool records which creators were messaged and lets you adjust recipients based on search filters.

Export controls for fields and formats

Why it matters

Export controls for fields and formats matter because teams need consistent data for review, approvals, and downstream planning. Weak exports force manual transcription and make comparisons across searches unreliable.

How to check

Export results for a saved search and check that key fields (creator identity, metrics used for ranking/filtering, and profile URLs) export reliably. Try both CSV and any available spreadsheet-friendly format, and confirm whether custom columns from the UI export too.

Red flags

  • Search filters don’t change results in meaningful ways
  • Authenticity fields show labels without explainable evidence
  • Exports omit the exact metrics used for filtering

Fit by situation

  • If you’re running frequent discovery cycles for campaigns, prioritize recency of creator and post data.
  • If your team scouts many niches and wants fewer irrelevant profiles, prioritize search filters that match real scouting.
  • If you need to hand off creator lists to reviewers and move into contact steps, prioritize shortlist and collaboration workflow.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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