Baja Bikes runs city tours and bike rentals across Europe, with paid traffic flowing in from ten different language markets. What used to be a manual spreadsheet juggle — different keywords, different bids, different ad copy per market — became a single, AI-driven optimization loop with Bidoryx. The result: meaningfully lower CPAs, sharper Quality Scores, and hours back in the team's week.
Travel demand is seasonal, hyper-local, and extremely competitive on Google — which makes multilingual paid search one of the toughest optimization problems in the industry.
Baja Bikes was running campaigns in ten European markets, each with its own keyword landscape, search intent, and pricing reality. The team was spending more time wrangling spreadsheets than actually optimizing — copy-pasting keywords, manually translating ad groups, and trying to spot patterns across markets where data was fragmented by language.
On top of that, the highest-spending campaigns were the hardest to diagnose. Was a high CPA in the Spanish market driven by bad keywords, weak Quality Scores, an underperforming landing page — or all three at once? Without a single source of truth, every budget decision came with a trail of "let me check that" — and a few painful surprises at month-end.
We rolled out Bidoryx across all ten markets in a single onboarding session, then let the AI do what it does best: cluster, analyze, and recommend. The team's job shifted from "figure out what to do" to "review and click apply."
The shift happened in week three. Once the Bid Optimizer had enough signal across all ten markets, it started catching cross-market patterns the team had never seen — search terms that converted exceptionally well in Italy were quietly being throttled by an outdated bid cap from a campaign template six months old.
Fixing that single misconfiguration unlocked a wave of efficient conversions. From there, the dynamic flipped: the team stopped reacting to weekly reports and started directing Bidoryx's recommendations toward the markets and angles that deserved more budget. Optimization went from a Friday afternoon ritual to a 15-minute morning check-in.
The implementation followed Bidoryx's "fix the foundation first" playbook — making sure every layer was clean before stacking the next one on top.
Foundation. We started with the Bid Optimizer, because no amount of clever ad copy compensates for over- or under-bidding. Within the first week, every keyword in every campaign had a target-aligned bid, and the dashboard surfaced the top 20 highest-impact bid adjustments per market.
Quality Score lift. Next, the Quality Score Optimizer flagged ad groups with structural issues — low-relevance keywords clustered with mismatched ads, or landing pages that didn't match their search intent. The team worked through them ad group by ad group, using the Offer Analyzer's USP extraction to rebuild the worst performers.
Multi-market scaling. With the foundation stable, the Keyword Research module became the team's growth engine. Each market got dozens of new high-intent keyword ideas, automatically translated and benchmarked against local competition. Strong winners got promoted into existing campaigns; weak ones got pruned before they ever spent budget.
Continuous monitoring. The daily AI recommendations now act as Baja Bikes' quality control. Any campaign drifting off-target gets flagged before it costs the team a meaningful amount of spend.
Within 90 days, Baja Bikes had a leaner, faster, and more predictable Google Ads operation across all ten markets.
The way Bidoryx handles keyword research and international campaign building is unmatched. It finds keywords that actually match how people search in each market, then turns them into launch-ready campaigns in minutes. That's what made expanding across ten languages finally feel manageable.
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