Dave Schwartz is VP of Client Services and Marketing at DataPop, an ad optimization technology company. Dave has been with DataPop since 2009 and was hired by the founders as its first full-time employee in the U.S.
Before joining DataPop, Dave was the Category Director for Local at Yahoo, where he was responsible for driving adoption of the company's local advertising solutions. Prior to Yahoo, Dave was an Engagement Manager for J.D. Power Consulting, working with leading brands such as Toyota and Acura. David holds an AB/MS in economics from Stanford and an MBA from UCLA.
It's time to stop whining and start winning! If you haven't migrated already, or you have migrated but aren't doing anything differently, here are some good reasons to adopt Google AdWords enhanced campaigns functionality as soon as possible.
This optimization cycle offers a suggested timeline and recommended actions to take to ensure that the best possible ad is running on your behalf at any given point in time, and should be followed as religiously as regular reporting activities.
When thinking about how to manage PLA programs, retailers often have a tricky personnel decision to make. Should you hire someone with deep SEO know-how or an expert at managing SEM campaigns? Actually, you need both skill sets. Here's why.
There is never a scarcity of data in paid search. While that presents incredible opportunities for ongoing optimization, it can also present some distinct challenges for those who want to put everything on data-driven autopilot.
Is the traditional call to action really as effective as we think? Are consumers really as simple-minded as we think? Is there a better, more data-driven way to validate (or invalidate) our blind faith in the call to action? Let's find out.
As this channel continues to grow, it will become increasingly important to actively optimize your PLA campaigns. Once your PLAs are live in AdWords, you should start adopting these techniques to continue to stay ahead of the competition.
Each one of these major PPC ad optimization errors can serve to confound your test results. Avoiding these common mistakes when you set up your ad tests will ensure that the results of your tests will be observable over the long term.