Built for precision. Designed for scale.
Every module works together to give you an unfair advantage in Apple Search Ads.
Smart Bidding Engine
Bayesian CVR models. Market-aware bid rules.
Keenbid computes a posterior CVR distribution for every keyword using Beta-Binomial conjugate priors, then converts that into a bid that maximises expected ROAS within your safety guardrails.
- Per-keyword confidence intervals updated every 15 minutes
- Bid floor / cap enforcement with audit trail
- Separate models for Brand, Competitor, Generic, Discovery campaigns
- Low-sample detection: holds bid changes below N-threshold
Intent Engine
Understand why a tap converts — before you bid.
Every Search Term carries multi-lingual intent signals. Keenbid classifies them into Commercial, Navigational, Informational and Branded intent buckets using an ensemble NLP model fine-tuned on 80+ App Store markets.
- Supports EN, DE, FR, ES, PT, JA, KO, ZH and 60+ more
- Intent score fed directly into CVR prior adjustment
- Real-time reclassification as new Search Terms surface
- Transparent probability breakdown per term
Search Term Intelligence
Promote winners. Negate bleeders. Automatically.
Keenbid surfaces Search Terms that deserve their own keyword — or need to be blocked — before they burn budget. Every suggestion shows sample size, CVR confidence, and the AI's reasoning chain.
- Promote / negate / bid-adjust suggestions with one click
- Auto-execution whitelist for high-confidence, low-risk actions
- Before→after bid preview on every card
- Reason audit: model version + data freshness timestamp
Safety Guardrails
AI power without losing control.
Every automated action is bounded by configurable safety rules: max bid change per cycle, daily change frequency limits, and a one-click rollback to any prior state within 24 hours.
- Max ±40% bid change per action (configurable)
- Frequency limits: max 3 bid changes per keyword per day
- One-click campaign rollback to N-hours-ago state
- High-risk actions (bid up > 30%, budget change) require manual approval
Experiments & Holdout Testing
Prove ROAS lift. Kill false positives.
Run geo-split or time-holdout experiments to measure the incremental lift from Keenbid vs baseline. Statistical significance tracking prevents premature conclusions.
- Geo-split: Keenbid markets vs control markets
- Time-holdout: Keenbid weeks vs matched historical periods
- Bayesian A/B significance at 95% threshold
- Report export: CSV + shareable PDF
Multi-Market & Multi-Language
One platform. Every App Store market.
Connect unlimited Apple Ads accounts across storefronts. Market-specific bid rules, geo-split experiments, and intent models tuned per locale keep your strategy sharp in every region.
- US, UK, DE, FR, JP, KR, CN, ES, BR — and more
- Market-specific safety guardrails
- Geo-split experiment reporting per storefront
- Dashboard UI in 8 languages with more coming
Monitoring & Alerts
Never miss a spend spike again.
Anomaly detection runs on a 15-minute loop. When spend deviates by more than 2σ or ROAS drops below target, Keenbid fires a tiered alert (Info → Warning → Critical) and drafts a diagnosis.
- Spend spike detection: 2σ from 14-day rolling baseline
- ROAS drop: alert when < 80% of 7-day average
- Critical alerts escalate after 30 minutes without action
- IM webhooks: Slack, Teams, Line, WeChat
Ready to see it in action?
Connect your Apple Ads account in minutes. No engineer required.
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