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BlueKai generates a sales lift of 200 to 600 percent for telecom client with more cost effective targeting and highly targeted messages.

Goal

Help a telecom company discover new audience segments and create a more efficient price per conversion.

Methodology

MediaMath’s telecom client was using a generalized prospecting strategy to drive online purchases for both consumer and small businesses. MediaMath recommended using BlueKai data to provide their client with a better understanding of which segments were converting, enabling granular targeting strategies as well as efficient bid pricing based on how well segment performed. Furthermore, the client discovered specific, well-defined BlueKai user segments for highly targeted messaging and offers.

  • BlueKai audience discovery, segmentation, targeting and optimization strategy generated a sales lift of 200 to 600 percent over general prospecting.
  • BlueKai performed 102% better than the best performing content provider.
  • BlueKai segments were the best performer over other data buys in terms of response rate, acquisition cost and scale.
  • The BlueKai segmentation fueled mid-funnel response strategies by directly highly targeted traffic to clients site, enabling subsequent remarketing and conversion.

Automobiles

More than a tune up: BlueKai revs up brand-campaign performance by 200 to 300 percent, using in-market competitive targeting at scale.

Nice surprise: BlueKai surpasses auto advertiser’s expectations by 1,250 percent.

Travel and Hospitality

CPA, ASAP, PDQ: BlueKai lowers CPA costs by more than 40 percent for travel client, 4.1 million impressions.

Room to move: BlueKai reduces CPM by 59 percent for hotel client.

Consumer Product Goods

Tasty response: BlueKai increases coupon downloads by 36 percent.

Telecom

Communication breakthrough: BlueKai generates lift of 200 - 600 percent for telecom client.

Small appliance

Energy boost: BlueKai doubles data performance for leading appliance manufacturer.

BlueKai powered campaigned delivered through MediaMath.