Predict Spend & Pacing
Forecast and normalize spend across regions and channels.
Marketing teams plan budgets with greater confidence and reduce pacing surprises by using normalized spend, pacing curves, and anomaly detection.
Access the industry's most comprehensive database of social campaigns, ad performance metrics, and compliance data across all major platforms.
Discover rising creative and spend signals within 48–72 hours so teams can test or reallocate budgets before trends peak.
Normalize and forecast spend across regions to reduce pacing surprises and improve ROI planning.
First shown: 2025-11-21
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First shown: 2025-11-21
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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First shown: 2025-11-20
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Spotbookr analyzes activity from the biggest global brands to the smallest emerging creators across industries to surface real momentum signals you can act on.
Measure daily and cumulative activity to spot inflection points before they’re obvious.
From household names to niche players, we aggregate signals across categories for a true market view.
Pinpoint what’s working now so you can pitch earlier, spend smarter, and grow faster.
Spotbookr sources data directly from official social platform APIs. Our database updates multiple times daily—so you never miss a spot.
We source data directly from TikTok's official Ads APIs and public ad libraries using our verified ingestion pipelines. Scheduled collectors fetch campaign, creative and performance metadata across advertisers and creative inventories — no advertiser account connection is required.
Privacy: we store campaign- and creative-level metadata and aggregated metrics — we do not collect or retain personal user data from TikTok.
Scheduled collectors and ad-library crawlers use the TikTok Ads API and public ad libraries to pull campaign and creative metadata. Batching, pagination, and rate-aware retries ensure completeness while respecting API quotas.
We run media through an internal pipeline (frame sampling, audio extraction, chunked transcription). Each creative gets a time-aligned transcript and small derived thumbnails for quick previews.
Audio analysis extracts tempo/BPM estimates, dominant language detection, and key audio features. These signals are indexed so you can filter creatives by rhythm, language, or sonic attributes.
We compute predicted performance scores using our ML models and normalize reported spend across regions and currencies. Spend calculations reconcile platform-reported spend with estimated pacing to provide comparable metrics.
Spotbookr empowers marketing teams, brands, creators, and podcasters with a single source of truth — forecast spend, discover winning creatives, and act on trends faster.
Forecast and normalize spend across regions and channels.
Marketing teams plan budgets with greater confidence and reduce pacing surprises by using normalized spend, pacing curves, and anomaly detection.
Turn creative signals into actionable playbooks.
Agencies and brands craft winning pitches and launch higher-probability creatives using percentile ranks, compact creative digests, and exportable evidence for RFPs.
Actionable creative signals and compact exports you can act on immediately.
Tempo (BPM) and sonic trend tags help you find energetic hits and group creatives by sound to spot rising audio trends.
Analyze copy-to-voice ratios, ideal runtimes, and shot density to optimize composition and message delivery.
Predictive scores and auto-tags surface expected performance, topics, sentiment, and creative archetypes for quick prioritization.
Date windows and normalized spend reveal cadence, lifecycle insights, and cross-region comparability for planning.
Teams use the creative digest to accelerate A/B tests, craft RFP-winning narratives, and trigger trend alerts — spot rising sounds 48–72 hours before they break.