The data warehouse and benchmarking layer for social platform analytics.
InsightHive pulls every campaign across YouTube, Meta, TikTok, Snap, and Google Ads into a single warehouse - then benchmarks each participant against an anonymized, vertical-specific dataset built from the rest of the network. Your numbers, in context. Always.
Access is reviewed per-vertical. Each onboarded participant contributes anonymized aggregates back into the benchmark layer.
Your own data is a baseline of one.
A 2.4% CTR sounds good - until you learn the rest of your vertical is averaging 4.1%. That context only exists when peer organizations are reporting into the same data layer. InsightHive is the warehouse, the schema, and the network that makes cross-vertical benchmarks possible.
Every platform writes to one normalized warehouse - paid + organic, views + impressions + retention, harmonized across providers.
Each participating brand contributes anonymized aggregates by vertical, scaling the dataset every time a new organization onboards.
Performance is contextualized against your industry - Sports vs. Sports, Beauty vs. Beauty - not a generic average across the whole internet.
A campaign-tracker built for one company is a spreadsheet with a UI. A benchmark network is something else entirely - and it can only exist when participants share an infrastructure they collectively trust.
- Anonymized, aggregated peer data - no participant ever sees another participant's campaign-level metrics.
- Vertical-walled views - Sports brands see Sports baselines, Beauty brands see Beauty baselines.
- A shared definition of every metric - no more reconciling "views" between YouTube's 30s threshold and Meta's 3s threshold.
- Benchmarks compound over time - every quarter the dataset gets denser, the percentiles tighter.
Industry baselines, segmented where it counts.
Performance in Beauty looks nothing like performance in Sports. Each onboarded participant feeds a vertical-specific layer of the dataset, so benchmarks compare like-for-like.
Leagues, teams, properties, athlete-driven content
Cosmetics, skincare, haircare, fragrance
CPG, restaurant chains, beverages
Streetwear, athletic, luxury, fast fashion
Devices, gaming, streaming services, apps
OEMs, dealerships, ride-share, EV
Big-box, DTC, marketplaces, vertical commerce
Networks, publishers, streaming, podcasts
Don't see your vertical? The dataset expands every quarter. Reach out about onboarding a new industry layer.
A shared infrastructure you couldn't build alone.
YouTube, Meta, TikTok, Snap, Google Ads - paid and organic - written into one schema. Daily syncs, lifetime backfills, audit-grade lineage.
Every metric on every campaign is rendered against the 25% / 50% / 75% / 100% percentile of your vertical. Know where you sit - instantly.
Cross-platform metrics harmonized to a single definition. View completion rate means the same thing on YouTube, TikTok, and Reels.
The benchmark dataset compounds with every participant. Joining gives you access to the aggregate of every vertical you operate in.
Set guarantees per package; the platform tracks delivery against both your contract AND peer norms for the same campaign type.
No participant ever sees another participant's raw data. Benchmarks are statistical aggregates with hard-floor sample-size guards.
Onboard a vertical. Or join one.
We work with media companies, brand-side analytics teams, and agencies that operate at the vertical scale where benchmarks actually move. Request access and we'll route you to the right cohort.
hello@getinsighthive.com