Home Online Advertising Microsoft Infuses Audience Targeting Into Its Search Ads

Microsoft Infuses Audience Targeting Into Its Search Ads

SHARE:

Microsoft is enabling two types of audience targeting to improve search ad performance, which it built to bring its ad offering to parity with Google Ads.

Brands can target search ads based on products the person has viewed; and they can target Microsoft audiences similar to their own customers. Both products are still in open beta, and Microsoft expects customers to test these new features as the holiday shopping season approaches.

The new audience targeting features are powered by the Microsoft Graph, which compiles data from its consumer-facing products like Bing, Xbox, Outlook email and LinkedIn. The cookie-based graph combines intent signals with some identity and profile information (all GDPR compliant, according to Microsoft).

The Microsoft Graph respects consumer privacy, said Steve Sirich, general manager of the global search and advertising business, which pulls in about $7 billion in revenue a year.

“We have principles that differentiate us in how we manage data,” Sirich said. “We don’t export data at all, we anonymize the data and we enrich the data set at a high degree of aggregation.”

Microsoft’s pilot found that targeting search ads using data from previously-viewed products doubles the conversion rate and lowers cost per acquisition 40%.Targeting audiences similar to a brand’s customers boosted conversion rates by 70%.

These audience-targeted ads also run on the display-focused Microsoft Audience Network. Search buyers place ads on Microsoft-owned properties as well as non-Microsoft publishers plugged into Microsoft Audience Network via select exchanges (though not Google’s).

Bing is also unveiling automated testing of search ads. Brands can test different combinations of headline and text for the best result.

The addition of audience targeting makes the Microsoft platform easier to use for search buyers familiar with Google’s setup. But Microsoft sports one unique audience targeting feature Google doesn’t have: Because of LinkedIn data, buyers can target by company, job and industry.

Despite Google’s dominance in search, advertisers buy search ads on Bing because they can find an unduplicated audience, and they get greater efficiency, according to Sirich. Because Microsoft’s auctions are less competitive than Google’s, advertisers pay less and see bigger ROI – even before the new audience targeting features were added in.

 

 

 

Must Read

multiple sets of eyes

Amazon DSP Adds Adelaide’s Pre-Bid Attention Targeting

Advertisers can target high- and medium-attention ad inventory in Amazon DSP while filtering out low-attention placements and made-for-advertising sites.

Marketers Are Getting Used To AI In The Ad Stack

Marketers and media buyers are gradually getting more comfortable talking about ad campaigns they’re testing on large-language models like OpenAI’s ChatGPT.

For Video Publishers, Performance And AI Go Hand In Hand

In Connected TV Ad Land, proving performance is the priority for video advertisers. To drive more demonstrable reach and results, publishers are trying to expand their reach while wringing more data and AI features into their offerings. 

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Independent Ad Tech Is Reframing Itself Around Cloud Hardware

Nowadays, programmatic vendors, and SSPs in particular, are carving new paths of differentiation based on their type of adoption of cloud infrastructure.

Ad Performance Hinges On Kicking Fragmentation’s Butt

As performance takes center-stage in more advertising discussions, demands to solve fragmentation and cruddy measurement are reaching a fever pitch.

AdExchanger's Big Story podcast with journalistic insights on advertising, marketing and ad tech

AI Off The Rails

A word of caution to digital advertising companies, as they go all in on AI algorithms: They need to build these solutions with ownership, governance and accountability from the start – or AI could sink them with a single mistake.