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Sub-second search in a week

Most OTAs mask the latency from third party searches with animation, ads or progressive loading. However, with over 75% of our searches coming from faceless API engines, there’s little room for gimmicks. Could we provide faster results without hurting conversion levels?

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Sub-second search in a week

  1. 1. Sub-second search in a week
  2. 2. Last minute = impatience 26% 16% 10% <1 2 4 6 8 10 12 14 16 weeks
  3. 3. Over 75% of our searches come from faceless API engines, where there’s little room for gimmicks Musafir UAE 2016-17
  4. 4. Seven seconds Transfer 2% Connect 4% Process 4% Price 13% Search 77%
  5. 5. Almost all OTAs mask the latency with animation, ads or progressive loading. Could we provide faster results without hurting conversion levels?
  6. 6. Dynamic cache Customer tiers Proactive replenish Purpose- built Parallel everything
  7. 7. Dynamic cache <1 2 4 6 8 10 12 14 16 weeks
  8. 8. By tiering our cache, we offered fresher results to our top tier customers, while still maintaining KPIs Musafir
  9. 9. Proactive replenish Search ··· Replenish ··· -50 50 150 250 350 450 550 650 Roger Ahmed
  10. 10. Migrating from a conventional database to a purpose-built store like Redis improved cache performance by up to 60% Musafir
  11. 11. It’s the little things we took for granted that came back to haunt us. We now parallel process everything from login to pricing. Musafir
  12. 12. Over 50% sub-second 55% 13% <1 2 4 6 8 seconds After Before
  13. 13. Discrete cache Predictive replenish ··· ··· ···
  14. 14. “This is … where people would get you a doctor and put you in a nice little room where you were safe and can’t hurt anyone” James Hamilton Amazon Web Services
  15. 15. Sub-second search in a week

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