AdWords and Analytics - Best Practices and Worst Mistakes


Details
NOTE LOCATION CHANGE!
Join us at TUNE for two expert technical speakers who will help us with the Big Questions:
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Taking the Guesswork out of PPC Funnels, with Amy Hebdon, Director of Paid Search at Blast Analytics and Marketing
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Enterprise Analytics Implementations and Audits with Michael Bawwab, Analytics Architect at Wheelhouse Search
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TOPIC DETAILS
Amy will show how to identify, track, and audit your PPC goals so you're not stuck reporting on questionable conversion totals that don't align with your business goals. Pull back the curtain to see how Google Analytics and AdWords share conversion data, and know exactly what's driving leads and conversions across AdWords and Bing. Learn to make informed decisions about assigning value for micro-conversions along the funnel.
Michael will focus on how to take analytics implementation to the next level.
• Ever wonder what an enterprise analytics implementation looks like?
• Would you like to scale your analytics auditing process?
You'll walk away from this presentation with action items for your own implementations, no matter how big or small. Plus, who wouldn't want to hear what it's like to audit an analytics implementation spanning over 100 domains?
SPEAKER BIOS
Amy Hebdon is Director of Paid Search at Blast Analytics & Marketing. She has over 10 years experience optimizing paid search campaigns to hit aggressive KPIs, and has audited and managed more than 100 accounts. Her husband is also a PPC marketer, and they're starting to forget how to talk to other people about other subjects. She tweets from @amyppc.
Michael Bawwab is the Analytics Architect at Wheelhouse Search. Some of his past projects include the implementation of Google Analytics Premium for a network of over 100 domains, deep experience in complex Google Analytics implementations for both ecommerce and non-ecommerce sites, and enterprise deployments of tag management systems, including Google Tag Manager and Tealium Tag Manager.

AdWords and Analytics - Best Practices and Worst Mistakes