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Hotel Group Case Study
Hotel Group Case Study: Challenge  A hotel group consisting of over 7,000 hotels worldwide sought to increase their online bookings via online display media. The company’s online marketing team had little insight into the effectiveness of their current display media campaigns while also lacking scale. To add volume, client added CPA line items to the media plan resulteingin CPA providers bombarding the remarketing pool, gaining credit for last view. The ratio of reservations to actualize also decreased. Ultimately increasing CPA, flattening sales and decreasing profitability. Seeking to improve the efficiency and effectiveness of its digital strategy, the company turned to [x+1], the leader in data driven marketing.
Hotel Group Case Study: Solution [x+1]’s proprietary Predictive Optimization Engine, POE, identified audience attributes associated with a positive response to the client’s online advertising.  These models then generated target audience profiles, forecasted audience size and value and optimized budget allocations to create a media buy targeting the online users who were most likely to book a hotel room. For each provider on the media plan [x+1] was able to measure unique contribution to reach overall and to remarketing reach. Allowing the client to reward actualized reservations and reach providers and eliminated remarketing for all but one partner. [x+1]’s sophisticated analytics approach produced the maximum ROI for each campaign, while integrating seamlessly into the client’s existing media workflow.
Unique Reach & Frequency Analysis Reach & Frequency reporting includes: ,[object Object]
Reach and frequency unique and overlap rates between publishers / sections
Reach and frequency unique and overlap rates between publishers / sections for remarketing4
Remarketing analysis Report Uses ,[object Object]
  Assess the effectiveness of the site to generate conversions on a weighted basis.	,[object Object]

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[X+1] hotel case study

  • 2. Hotel Group Case Study: Challenge A hotel group consisting of over 7,000 hotels worldwide sought to increase their online bookings via online display media. The company’s online marketing team had little insight into the effectiveness of their current display media campaigns while also lacking scale. To add volume, client added CPA line items to the media plan resulteingin CPA providers bombarding the remarketing pool, gaining credit for last view. The ratio of reservations to actualize also decreased. Ultimately increasing CPA, flattening sales and decreasing profitability. Seeking to improve the efficiency and effectiveness of its digital strategy, the company turned to [x+1], the leader in data driven marketing.
  • 3. Hotel Group Case Study: Solution [x+1]’s proprietary Predictive Optimization Engine, POE, identified audience attributes associated with a positive response to the client’s online advertising. These models then generated target audience profiles, forecasted audience size and value and optimized budget allocations to create a media buy targeting the online users who were most likely to book a hotel room. For each provider on the media plan [x+1] was able to measure unique contribution to reach overall and to remarketing reach. Allowing the client to reward actualized reservations and reach providers and eliminated remarketing for all but one partner. [x+1]’s sophisticated analytics approach produced the maximum ROI for each campaign, while integrating seamlessly into the client’s existing media workflow.
  • 4.
  • 5. Reach and frequency unique and overlap rates between publishers / sections
  • 6. Reach and frequency unique and overlap rates between publishers / sections for remarketing4
  • 7.
  • 8.
  • 9.
  • 10. # of click and display events by channel leading to a conversion event
  • 11. Drill downs by different timelags (1 day, 1 week, etc.)
  • 12. Optional data transfer for more in-depth sequencing analysis
  • 13. Predictive Analysis will be available in forthcoming weeks7
  • 14. Hotel Group Case Study: Results In the first three months of full implementation, CPA decreased 69%. Actualized reservations made online increased 42%. In addition, the company gained valuable insights into the visitor attributes driving conversion.