Applying Paid Search Optimization Techniques Beyond the Search Engine Results Page

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Applying Paid Search Optimization Techniques Beyond the Search Engine Results Page


Posted by Craig Greenfield, SVP, Performance Innovation

This blog was orginally posted on emarketing & commerce

In 2010, Forrester’s The Future of Search Marketing report predicted that “search marketing will become an umbrella term that applies to using any targeted media to help an advertiser get found.” Forrester was right. It’s now clear that search isn’t limited to being just a channel.  Search is the science of understanding intent and acting on it to efficiently connect people to your brand—no matter if that connection is made on a search engine, social networking site, display network, affiliate network or other emerging medium. To foster these connections, search engine marketing best practices can be extended well beyond the search engine results page.

First, I’ll consider how traditional paid search techniques can be applied to display advertising to drive new-to-file customers. Like search, biddable display provides advertisers with targeting capabilities to find the right customer at the right price.  While search marketers create segmentation via keywords to find the right audience, display marketers create segmentation via data sources. For example, during back-to-school season this past year, one of Performics’ apparel retailer clients sought to efficiently boost year-over-year daily sales though performance display. Like we do with search campaigns, we restructured the retailer’s display campaign at a more granular level (31 different ads in 2011 versus 6 ads in 2010) to support product/offer testing.  The restructure revealed deeper audience insights, helping us buy only the impressions we wanted (i.e. the right placements at the right price). We also increased relevance through site retargeting (i.e. serving display ads to people who visited the advertiser’s website but didn’t take action). These strategies resulted in a 211 percent year-over-year increase in average daily sales at a 120 percent return on investment.

Likewise, paid search techniques can be applied to social media advertising. The obvious paid search/Facebook similarities are that Facebook cost-per-click ads are bid based, keyword triggered by likes/interests in users’ profiles and optimized through copy/creative testing. The obvious paid search/Twitter similarities are that Promoted Tweets are bid based, triggered by Twitter users’ search keywords and optimized through copy testing.

There are also less obvious similarities. For example, using paid search campaign structure best practices to boost Twitter followers via Promoted Accounts, which enable advertisers to recommend their account to particular Twitter users who may be interested in following them. For an advertiser’s account to be recommended, the advertiser targets Twitter users via keywords and bids on a cost-per-follower (CPF) basis. One of Performics’ clients sought to use Promoted Accounts to increase followers at a low CPF.  Borrowing from paid search, Performics restructured and relaunched the client’s Promoted Accounts campaign. We increased the account’s size from one campaign to 11 campaigns to include more granular, demographically relevant keywords. Like in paid search, more targeted keywords caused Twitter’s algorithm to recommend our client’s account to a more relevant Twitter audience. Post-optimization, the client achieved a 1,473 percent increase in followers at a 69 percent decrease in CPF.

Search will surely continue to evolve well beyond typing keywords in a search box (think asking Siri to find you an answer or using a mobile augmented reality app to see product reviews while walking through a store). Notwithstanding this evolution, time-tested paid search optimization techniques relentlessly focused on structuring campaigns to deliver the most relevant audiences at the lowest cost will always drive performance.

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