DataXu MarketPulse: Using Demand Side Platforms to Find the Most Profitable Customers

New Study Shows Value-Based Optimization Delivers up to 45 Percent Better Response From High-Value Customers, and Improves Return on Ad Spend up to 80 Percent in Financial Services and Technology Verticals


BOSTON, MA--(Marketwire - Jul 21, 2011) - DataXu (www.dataxu.com) today released its monthly MarketPulse research report that explores the data that defines today's digital advertising marketplace. This month's report analyzes digital advertising campaign data from the financial services and technology verticals to determine if demand side platforms (DSPs) can leverage dynamic decisioning and programmatic buying to find more and higher value customers. A summary of the report is below.

Demand side platforms are giving marketers the power to radically improve their customer acquisition strategies. These solutions have brought dramatic efficiencies and increased return on ad spend through programmatic buying on ad impressions that are most likely to convert, based on an advertiser's specific metrics. However, many advertisers rely on cost per acquisition (CPA) as a preferred metric of success. But not all conversions are created equal, and the value of a customer can vary greatly.

Sophisticated marketers are looking for ways to find not just new, but more valuable customers. Valuable customers are the ones who spend more or buy more profitable products. So we asked: "Can DSPs leverage programmatic buying to find more valuable customers?"

Next-generation demand side platforms, like DataXu's DX2 platform, leverage advertiser data to create a custom algorithm that not only decides which ad placement is most likely to convert, but also which ad placement is most likely to drive the highest revenue. To illustrate how this works in practice, the DataXu Advanced Analytics Group reviewed the spend data and value of customer purchases from recent campaigns for companies in the financial services and technology industries to measure the impact of shopping cart value (or value-based) optimization -- which considers the value of a customer's purchase, in real-time.

The analysis shows that campaigns optimized for shopping cart value spiked compared to DataXu's standard cost per acquisition (CPA) optimized campaigns; delivering a 30% better return on ad spend for the financial services vertical, and an 80% better return for the technology vertical.

The DX2 platform uses dynamic decisioning to increase budget toward converting customers likely to spend more money, and reduce budget on those likely to spend less. The analysis also shows that campaigns optimized on shopping cart value converted 25%-45% more high value customers than standard CPA optimized campaigns.

"The Pareto Principle holds that 80% of a company's revenue typically comes from 20% of their customers," stated Sandro Catanzaro, VP of Analytics and Innovation at DataXu. "Yet many advertisers make the mistake of equally chasing all of them. Advertisers focused solely on CPA are likely wasting a lot of money converting lower value customers. Today's sophisticated marketers are looking beyond simple conversions and reallocating much of their spend to convert higher spending and more valuable customers."

To download the complete MarketPulse report, view past reports, and subscribe to upcoming reports, please visit www.dataxu.com/tag/marketpulse. For more information on Value-Based Optimization, please download the related case study or check out the related blog post.

About DataXu
Headquartered in Boston, Massachusetts, DataXu provides the only multi-channel demand side platform for online, video, and mobile advertisers. This powerful technology increases digital campaign performance, improves operational efficiencies and delivers unique consumer insights to advertisers. DataXu's executive team unites leading executives in digital media with MIT technologists. The private company is backed by Atlas Venture, Flybridge Capital Partners, and Menlo Ventures. For more information, visit www.dataxu.com or follow us on Twitter at @dataxu.

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Value-based Optimization: Average Revenue per Consumer Value-based optimization