{"id":1143,"date":"2014-10-27T21:14:49","date_gmt":"2014-10-27T21:14:49","guid":{"rendered":"http:\/\/www.symphonytg.com\/?p=1143"},"modified":"2014-10-27T21:14:49","modified_gmt":"2014-10-27T21:14:49","slug":"connexity-test-shows-superior-ad-performance-of-first-party-data-over-third-party-data","status":"publish","type":"post","link":"https:\/\/stg.com\/news\/connexity-test-shows-superior-ad-performance-of-first-party-data-over-third-party-data\/","title":{"rendered":"Connexity Test Shows Superior Ad Performance of First-Party Data over Third-Party Data"},"content":{"rendered":"
Connexity, a technology driven marketing solutions company that leverages billions of ecommerce signals to help retailers and brands reach online shoppers, today announced the results of a test to determine if first-party data (said to be the most accurate indicator of consumer interests) really performs better than third-party data.<\/p>\n
\nAs it turns out, it does, by a lot.<\/span><\/p>\n \nConnexity recently launched a branding campaign to promote shoes and dresses reaching several million consumers using its own retail-based, first-party audience data segment called \u201cFashion Insider.\u201d They tested it against similar third-party audience segments purchased via a public exchange to see if data from third-party sources performed as well as first-party data.<\/p>\n \nThe campaign used two ads, one with dresses and the other with shoes. Upon clicking an ad, the consumer was taken to a landing page that featured dozens of dresses or shoes, which they could click on to view individual items, as well as comparison shop.<\/p>\n \nThe seven-day campaign was executed programmatically, with all inventory purchased from public ad exchanges. In all respects, the A and B groups were treated identically, including the bidding strategy, frequency capping, ads seen, and landing pages.<\/p>\n \nThe results of the 1st vs 3rd test were dramatic. The Connexity first-party data delivered:<\/p>\n \nThere are several possible reasons why Connexity first-party data performed better, including:<\/p>\n \nGender accuracy<\/b><\/p>\n \nThird-party data relies on \u201chead of household\u201d information to determine the gender, not the actual computer user in that session. Connexity uses proprietary self-reported survey information from the Bizrate Insights platform to derive and model gender.<\/p>\n \nTransparency<\/b><\/p>\n \nThe third-party data sources provided very little information on how it classified individuals as active fashion consumers, just offering a one sentence description. That means they may have included women who, at one point, shopped intensely for a dress for a special occasion, but were no longer in market. Or they may just read an article about something fashion related.<\/p>\n \nProximity to the source<\/b><\/p>\n \nConnexity data is 100% \u201cPowered by Shopping\u201d and always comes from a touch point in a shopper\u2019s path to purchase. Being close to the data enables the company to collect, segment, and score audiences accurately\u2014then bid based on the true value of each individual.<\/p>\n \n\u201cData quality has a significant \u2013 and measurable \u2013 impact on your campaign results. Unless data providers collect their own data, as opposed to aggregating it from other sources, marketers may not reach the right audience,\u201d says Paul Martecchini, Connexity VP Marketing. \u201cThe closer you get to the source, the better it performs.\u201d<\/p>\n \nRead more about the test here:\u00a0http:\/\/connexity.com\/wp-content\/uploads\/2014\/10\/CO-WhitePaper-03a.pdf<\/a>.<\/p>\n\n