AutoScout24 cut Apple Ads management time by 30% with AI
AutoScout24 replaced manual Apple Ads management with AI-powered automation and cut the time spent managing campaigns by over 30%. SplitMetrics is hosting a webinar where AutoScout24 will walk through exactly how they did it.
If you run paid acquisition for a mobile app, this is the operational detail that rarely makes it into blog posts: which bidding structures held up at scale, how paid and ASO teams coordinated, and what incrementality testing actually looked like in practice.
What Replaced the Manual Work
AutoScout24 started with rule-based automation and manual campaign optimization. Both got replaced with AI-powered campaign management. The webinar will cover how that transition worked and what it changed about the day-to-day workload for the growth team.
The specific bidding structure they will share covers four campaign types: brand, competitor, search match, and exact match. Each uses a distinct smart bidding strategy rather than a single blanket approach.
The Four Topics on the Agenda
- AI-powered campaign management: How AutoScout24 moved away from rule-based automation and what the workflow looks like now.
- Smart bidding by campaign type: Distinct strategies for brand, competitor, search match, and exact match campaigns.
- Incrementality testing and brand defense: Practical approaches to measuring what paid acquisition is actually driving versus organic lift.
- Paid and ASO collaboration: How the acquisition team and the App Store Optimization team work together, including how Apple Ads automation, CPP Scheduler, and incrementality testing connect.
Who Is Presenting
Germain Elokan is an App Marketing Expert at AutoScout24 with 10 or more years in performance marketing, focused on app growth, acquisition efficiency, and Apple Ads optimization at scale.
Ben Collins Jones is the Lead Global Customer Solutions Manager at SplitMetrics, with 8 or more years helping mobile brands scale Apple Ads performance through automation, smart bidding, and campaign optimization.
The Operator Takeaway
The 30% time saving is the headline, but the more transferable insight is structural: narrowly scoped AI tasks (one bidding strategy per campaign type) tend to outperform broad automation rules applied across an entire account. AutoScout24 is evidence of that pattern working in a real, scaled Apple Ads environment.
If your team is still manually adjusting bids or relying on rigid rule sets, the session is worth the hour to see how a team that has done the work structures it in practice.
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