Yelp Inc. - Trusted Content and Sustainable Growth Strategy
Cutting-edge search and advertising technology
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Experimentation driven
Hundreds of product experiments running
simultaneously, with thousands of
experiences tested per year
Broad-based Local Ad Platform
High velocity
Median developer lead time per
feature improved by 80%³
Sophisticated ML & deep learning power
advanced functionality
• Yelp's unsurpassed consumer review data yields personalized
search and recommendations
Deep understanding of our data allows prediction of user
queries and optimization of our SEO strategy
Our state-of-the-art search platform outperforms the
industry-standard solution by 30-50% while costing as much as
40% less to run, allowing better ad targeting and
search matching
To conduct an average of 20M auctions per day, we predict
demand for 16M ad categories and time intervals to set bid
pricing and pacing, then optimize bids 48x per day per
advertiser with the goal of delivering more value
Novel "small-block" deep learning infrastructure yields 100x
training speed increase² for better click-through rate prediction
Proprietary service orchestration framework allows dynamic
and scalable AWS utilization with class-leading cost efficiency
1 Compared to Yelp's previous Elasticsearch-based ranking platform. Cost savings consist of reduced infrastructure costs. 2 Compared to the training speed of traditional deep learning frameworks on this problem. 3 Improvement measured in 2020 and sustained into 2021.
Includes U.S. employees only
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