Social Listening
Sentiment Analysis
AI UGC Search
24/7 Story Detection
Channel Coverage
Creator Activations
AI Creator Search
Creator Leaderboard
Gifting Campaigns
Brand Safety Vetting
Campaign Reporting
Usage Whitelisting
Trend Prediction
AI Generated Comments
Comment Reporting
Pricing model
Contract terms and features
Onboarding Process
Time to Implement
Support Services & Features
Compliance Features and Security Certifications
Tagger and Archive serve different segments of the influencer marketing workflow. Tagger (via Sprout Social) is a broad social listening and influencer discovery platform built into an enterprise social media management suite, designed for teams that need integrated social monitoring, creator search across 10M+ profiles, and campaign management within a larger Sprout ecosystem. Archive is a specialized AI-first UGC and creator intelligence platform focused on automated content capture, semantic search, and revenue-connected reporting for brands that prioritize content sourcing efficiency and creator program scale. Tagger excels at discovery and vetting within a managed workflow; Archive excels at eliminating manual content collection and enabling teams to activate 100x more creators without operational overhead. The choice depends on whether you need a general social platform with influencer tools (Tagger) or a dedicated creator content and intelligence engine (Archive).
Tagger's main strengths include: (1) Integrated social listening across 50,000 posts per second with sentiment analysis and trend detection, useful for understanding broader market conversations and competitor activity. (2) Large creator database (10M+ profiles) with AI-powered semantic search to match creators based on content topics rather than just follower counts. (3) Brand safety vetting with customizable filters (profanity, alcohol, politics, gambling, competitor mentions) and AI-powered risk assessment across creator content. (4) Unified campaign management within Sprout Social's broader ecosystem, allowing teams to manage outreach, contracting, approvals, and reporting in one platform. (5) Professional services and 1:1 expert support for onboarding and implementation. (6) Ability to boost creator content directly in-platform and request Partnership Ad permissions. Archive's strengths include: (1) Automatic capture of every tagged mention across Instagram, TikTok, YouTube, and Stories the moment it goes live, eliminating manual content hunting and creator submission friction. (2) Advanced AI search using visual recognition and contextual understanding to find specific UGC (e.g., product in kitchen settings, sustainability mentions) from thousands of unstructured posts. (3) Competitor intelligence revealing which creators competing brands activate, posting frequency, and content themes tested. (4) One-click automated reporting that replaces hours of spreadsheet work and manual metric transcription. (5) Shoppable UGC feeds that embed directly on websites without custom development, keeping shoppers on-domain. (6) Historical data backfill up to two years and Stories capture that Tagger does not explicitly offer. (7) Semantic and frame-by-frame video analysis for deeper content understanding. Archive removes the coordination tax that caps creator programs at 50-100 partnerships before operational overhead becomes unsustainable.
Tagger's main weaknesses include: (1) Pricing is contact-sales only with no transparent public tiers, making budget planning and comparison difficult for mid-market teams. (2) No explicit mention of automated content capture or Stories archival, meaning teams still manually collect deliverables or hunt for tagged posts. (3) Social flirting or proactive relationship-warming features are not described on-page, limiting pre-outreach engagement tactics. (4) Requires integration with broader Sprout Social ecosystem; teams cannot purchase influencer marketing standalone without understanding broader platform dependencies. (5) No mention of shoppable UGC feeds or website embedding capabilities, limiting direct revenue attribution from creator content. (6) Affiliate tracking and comprehensive trend detection are not explicitly detailed. Archive's main weaknesses include: (1) Lacks native outreach and direct messaging tools, requiring teams to manage creator communication outside the platform. (2) No comprehensive affiliate tracking or UTM-based conversion attribution built in, limiting revenue-per-creator visibility for some use cases. (3) Smaller creator database (30M+ vs. Tagger's 10M+, though Archive's is still substantial) and less emphasis on discovery from cold databases; Archive is stronger for activating existing creators and capturing their content. (4) Limited LinkedIn and YouTube coverage compared to Tagger's broader platform integrations. (5) No explicit sentiment analysis or trend prediction features mentioned, making it less useful for broader market research. (6) Requires separate tools for outreach workflows, which can fragment team processes if not carefully integrated.
Fast-growing consumer brands love Archive
Before Archive, Allbirds couldn’t keep up with their UGC and had no reporting tools to support their sprawling influencer program.
Momofuku Goods gets significant social attention, but the team had no way to measure their program’s success until they got Archive.
Grüns is great at gifting, but they had no automated process for turning that flood of UGC into polished ad content until they started using Archive.
Ketone-IQ turned their best UGC into a plug-and-play e-commerce sales engine — without writing a single line of code — thanks to Archive.
Before Archive, Immi was going to have to hire two full-time marketing employees just to keep up with the viral pace of their UGC.
Fast-growing consumer brands love Archive
How POPFLEX Found Out Taylor Swift Wore Them through Archive
POPFLEX was trapped in IG notifications and manual spreadsheets. When they got Archive, they made it into a Taylor Swift song (just saying).
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Frequently Asked Questions
What's the main difference between Archive and Tagger for influencer marketing teams?
Archive doesn’t just track posts — it understands them. Our AI watches each video, listens to the audio, and reads captions to build true short-form intelligence — not just keyword matches or scraped mentions.
Does Tagger automatically capture creator content like Archive does?
Archive doesn’t just track posts — it understands them. Our AI watches each video, listens to the audio, and reads captions to build true short-form intelligence — not just keyword matches or scraped mentions.
Which platform is better for teams that need both creator discovery and UGC management?
Archive doesn’t just track posts — it understands them. Our AI watches each video, listens to the audio, and reads captions to build true short-form intelligence — not just keyword matches or scraped mentions.
How does Archive's AI search compare to Tagger's creator discovery for finding specific UGC themes?
Archive doesn’t just track posts — it understands them. Our AI watches each video, listens to the audio, and reads captions to build true short-form intelligence — not just keyword matches or scraped mentions.
Which platform saves more time on campaign reporting and performance tracking?
Archive doesn’t just track posts — it understands them. Our AI watches each video, listens to the audio, and reads captions to build true short-form intelligence — not just keyword matches or scraped mentions.
See how Archive’s intelligence will make you rethink how you run creator marketing
Book a 30-minute demo and watch your current process automate in real time.
