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  1. The Synergy & Benefits of Optimizing Content as You Write

    Integrating your content and SEO process provides you with learning, scale, and efficiency across content and SEO teams. Integrating SEO intelligence into your content management and marketing process allows the content marketing team to:

  2. 14 Tips on How to Become a More Efficient SEO Professional

    This boils the writing process down to just me and my words and I can get through the writing stage of producing a document much faster. It’s important to stay up to date when you work in search and every SEO should be spending some time each day...

  3. The Misleading Sinister Surge in Traffic Before Google Panda & Penguin Struck

    When I first begin speaking with companies that have been impacted, my goal is to quickly identify exactly what happened over time, so I can begin the process of identifying why the strike occurred. And those questions could have halted the process...

  4. The Quick Guide to Developing Customer Personas

    How much content they consume at different stages of the buying process. How the format of content they consume changes throughout the buying process. Their role in the decision-making process. The key is learning from the customers who had a poor...

  5. LivePerson Says Bouncing is Single Worst Action a User Can Take

    SEW spoke to Avinoam Zelenko, Product Owner of Keyword Lift and Analytics Driven Engagement at LivePerson, who explained that although this latest product is focused on paid search traffic, the software does not manipulate keyword bids (or change...

  6. Will ‘Useless’ Clicks Really Cost Mobile Advertisers $6 Billion+ by 2016?

    Ad networks are also learning alongside advertisers and many have begun the process of re-evaluating the mobile properties they include to ensure their practices exclude any click fraudulence. As mobile advertising continues to find its place in...

  7. Big Data: An Introduction for Search Marketers

    There is no question that mainframes and super-computers process very large and changing data sets – but they process centrally and use proprietary data sets. And the big data application must be continuously learning from public data and customer...