Transform social buzz into Actionable Insights with Social Listening AI
Unlock hidden insights from public and private groups, hybrid dialects, and niche communities where your real audience talks.
Unlock hidden insights from public and private groups, hybrid dialects, and niche communities where your real audience talks.
Before launching a new product, Olay needed to know which creators, markets, and conversations mattered most. DeepDive turned billions of user-generated videos into clear signals that guided smarter spend and stronger advocacy.
Social conversations in beauty aren’t just big, they’re overwhelming. TikTok and Instagram alone drove billions of UGC views, spread across multiple geographies, creators, and sentiment shifts.
Olay wanted answers to three key questions:
Social conversations in beauty aren’t just big, they’re overwhelming. TikTok and Instagram alone drove billions of UGC views, spread across multiple geographies, creators, and sentiment shifts.
Sort content by topic & keyword.
Classify creators into promoters, neutrals, and detractors.
Surface micro-influencers generating authentic brand advocacy.
Use Case 1: Micro-Influencer Identification
The Problem: Olay’s campaigns were heavily skewed toward big-name influencers, but ROI was declining.
DeepDive’s Role: By analyzing 65B+ UGC video views, DeepDive surfaced a set of micro-influencers who weren’t just posting, but actively shaping consumer advocacy.
The Outcome: Olay shifted spend and discovered these smaller creators delivered higher trust and more engagement, ultimately driving 21% savings on campaign budget.
Use Case 2: Geo Volume Analysis
The Problem: UGC was pouring in from across the UAE, but it was unclear where brand engagement was strongest.
DeepDive’s Role: DeepDive’s geo-mapping of UGC revealed that Abu Dhabi accounted for over 55% of brand conversations, with Dubai and Sharjah emerging as secondary hubs.
The Outcome: Olay prioritized its resources geographically, aligning media spend and product seeding with the regions that mattered most.
Use Case 3: Sentiment from UGCs
The Problem: Brand perception in beauty shifts fast, and surface-level metrics don’t capture it.
DeepDive’s Role: DeepDive’s AI classified billions of UGC posts into promoters, neutrals, and detractors, extracting real sentiment rather than vanity engagement.
The Outcome: Olay gained a live view of consumer mood, enabling faster content pivots and messaging alignment.
Use Case 4: Competitive Benchmarking (NPS vs Competitors)
The Problem: Campaign success isn’t just absolute, it’s relative to competitors.
DeepDive’s Role: By aggregating sentiment and advocacy scores, we benchmarked Olay’s Net Promoter Score against key competitor brands.
The Outcome: Olay proved stronger consumer loyalty than rivals, demonstrating the ROI of their micro-influencer and geo-focused strategy.
Measure how consumers feel about ingredients, packaging, and campaigns. Catch shifts in perception before they show up in sales.
Map conversations by city, region, and demographic segments to see exactly which product suits where the most.
Spot rising beauty trends—from viral TikTok routines to rising product claims, so you can ride the wave before competitors catch on.
Track conversations across platforms to uncover what beauty consumers really say about products, routines, and brands.
Benchmark share of voice and advocacy against rival skincare and cosmetic brands to find the whitespace for your next launch.
See which posts, influencers, and formats actually drive engagement in beauty.
Tap into the spaces where genuine word-of-mouth forms. Communities that shape trust, spark advocacy, and influence purchasing before campaigns.
Tap into the spaces where genuine word-of-mouth forms. Communities that shape trust, spark advocacy, and influence purchasing before campaigns.
The future belongs to brands that listen differently. Too often, brands look for the loudest voices, but misses the ones who actually set trends and spark advocacy.
With DeepDive, you uncover the 20% of voices powering 80% of impact.