Travel. Dining. Recreation. People use the Internet to book reservations for almost any type of activity. There’s no shortage of websites consumers can turn to book flights, hotels, and rental cars. Not to mention dinner reservations, camp sites and tee times. But with competition driving up paid-search costs, margins are getting tighter making keyword bid optimization more critical than ever.
Below are stories of how savvy online reservation services are driving more revenue and better margins using OptiMine Software to manage their paid-search bid optimization.
This online travel service was looking for volume and profit, but the agencies they trusted to manage paid-search could only achieve one or the other, so they slashed their keyword count to 300 from 700,000 and decided to manage it manually. Read the case study to learn how they used OptiMine Software’s keyword level multivariate modeling to increase volume by 63% and ROAS by 95%.
Generating more revenue without increasing cost-of-sales (COS) is not easy, but that is exactly what this online reservation service asked OptiMine to do. The customer used OptiMine’s introductory period to conduct and A/B test with the incumbent system. During the test, OptiMine used multiple modeling techniques to generate 78% more revenue than the incumbent and slash COS to 18.8% from 26.6%. Read the entire case study for more details about OptiMine’s individual keyword-level modeling and how this reservation service used it to achieve it’s paid-search goals.
This online reservation service is always looking for ways to improve paid-search financial results. This time management believed there was a better keyword bidding solution and asked OptiMine to take part in a head-to-head trial against their incumbent system. The goal was to maximize revenue while maintaining a minimum ROI. In the end, OptiMine beat the incumbent with 24% more revenue and 25% more margin. Read the case study for more on how this customer used OptiMine’s multiple keyword-level modeling techniques to improve their paid-search financial results.
This hugely successful online reservation service found that growing competition was driving up keyword bid values, making paid-search more expensive and less profitable. To maintain their position management had to find a way to increase conversions while not exceeding a maximum cost-per-conversion. Read the case study to see how OptiMine’s high-value modeling drove 60% more conversions at a cost-per-conversion 30% below the target in an A/B test with the incumbent bidding system.
