Paid media optimization
powered by AI
Ad platforms want you to spend more. Kuma helps you spend better. We identify creative fatigue, quality score issues, and wasted spend so you can improve performance without increasing your budget.
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The Competitive Gap
The difference between generic advice and strategic optimization
Platform-Driven Optimization
More spend, minimal strategy
Google reps say "put all keywords to broad match and increase the budget"
Check impression share reports quarterly if you remember
Wonder why CTR dropped, then dig through weeks of data
Run the same creative for months because "it's working"
Guess whether to increase budget or improve quality score
A/B testing happens when someone remembers to set it up
Strategic AI Optimization
Efficiency-first, data-driven insights
Kuma prioritizes efficiency and respects your match type strategy
Daily alerts when you lose visibility to budget or rank
Kuma detects creative fatigue and tells you which ads need refreshing
Daily alerts when performance starts declining before it craters
Clear advice. For example: "Campaign X is losing 40% impression share to budget"
Kuma flags ad sets with single creatives and prioritizes testing opportunities
Key Capabilities
AI-powered insights that drive efficiency and growth
Impression Share Analysis
Most teams check impression share reports quarterly, if at all. The data is hidden in platform interfaces. You are missing visibility you already paid to earn. Google Ads optimization starts with understanding where demand exists that you are not capturing.
Kuma monitors this daily. It shows you exactly where you are losing impression share. It separates opportunities into 'pay more' vs 'optimize more'. You see exactly where Quality Score improvements can win you traffic for free, rather than just bidding higher.
Creative Fatigue Detection
Ads that perform well today won't perform well forever. Fatigue is slow. A 3% CTR becomes 2.5%, then 2%, then 1.5%. By the time it is obvious, you have wasted weeks of budget on bad performance.
Kuma analyzes trends at the ad level. It detects when creatives start to decline. It catches this 2-3 weeks before they bottom out. You get time to refresh, not scramble.
A/B Testing Gap Identification
Most teams know A/B testing matters but don't have time to check every ad set. Ad sets with one creative are betting everything on one horse. You have no idea if a different image or video could improve performance by 30%.
Kuma automatically detects ad sets running without meaningful variation. It prioritizes them by spend and potential impact. You know exactly where testing would make the biggest difference.
Competitive Pressure Monitoring
Competitors increase bids or improve quality without announcing it. Lost impression share creeps up slowly. Your position weakens month over month.
Kuma analyzes 30-day trends. It finds gradual competitive pressure before it becomes critical. You get proactive optimization, not reactive scrambling.
Adaptive Learning
Platform reps always have the same advice: raise your budget. Kuma is different. It prioritizes efficiency aiming for 'free' performance gains first. But when Kuma does tell you to increase budget, you can trust it. It means we've verified the opportunity is real and fits your strategy, not just your vendor's quota.
When you dismiss recommendations and explain why ("No additional budget available"), Kuma learns. It remembers your constraints. It focuses on efficiency instead. Accepted recommendations teach Kuma what fits your strategy, so future advice is more relevant.
How It Works
From connection to continuous optimization in 4 simple steps
Connect your accounts
Link Google Ads and Meta Ads in under 2 minutes
Kuma scans for opportunities
Impression share, creative performance, and testing gaps analyzed
Recommendations surface
Prioritized by potential impact and your history
You take action, Kuma learns
Acknowledge what is useful, dismiss what doesn't fit. Kuma adapts its future advice to your strategy
Frequently Asked Questions
Everything you need to know about AI-powered optimization
Still have questions? Get in touch
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