Estimated impact
Directional ranges refined with real process data, workload volume and internal cost.
- Recoverable hours
- 25-80 h/month
- Avoidable cost
- EUR 2k-8k/month
- Fewer errors
- 25-60%
Less manual review of campaigns, bids and scattered performance data.
Estimate from automating analysis, rules and operational follow-up.
More repeatable decisions and lower risk of inconsistent adjustments.
Booksflyer needed a SaaS product to optimize bids and campaigns in Amazon Ads. The goal was to turn campaign decisions into a manageable process from a proprietary platform connected through APIs and ready to evolve with new business rules.
The development used Java, MongoDB and Amazon Ads integration to centralize data, automate decisions and improve visibility into campaign performance.
The work focused on building a SaaS product foundation, with organized data, optimization rules and an architecture ready for iteration. Amazon Ads integration was key to moving from manual or fragmented management into a more controlled, measurable and scalable workflow.
The solution helps analyze performance, adjust bids and keep a more consistent view of campaigns. Decisions no longer depend only on isolated reviews, but on centralized information and repeatable processes inside the platform.
