Google Optimize vs. Yahoo DSP

It is a little too limited for a full stack experimentation programme. Many times we required development support or tech advise but we were simply unable to get this due to it being google. This was a big problem for us. However it is quite good if you were looking to get started in experimentation and didn’t have the budgets for a wider tool

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Customer demographics that are not typical of ours are being served by our marketing efforts. We've seen fast expansion as a result of the exposure Yahoo has given us. Because of the low cost per click, users can see results right away. The more traffic there is, the better.

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• Easy to follow set up procedures. Once I walk a client through the process, it's effortless for them to emulate on subsequent tests.
• Lots of geo and user attribute customization features to be able to drill down into specific targeted audiences — all based on the power of Google's immense data system.
• Google Optimize is the logical choice for many people to start with since most are already familiar with and using GA.

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• Predictive Modeling - always performs well for Conversion & CPA based campaigns; out-performed other DSPs with similar tools.
• Email Receipt Retargeting - no other DSP offers the ability to do this, so it is 100% proprietary, as far as I know.

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• Only works for browsers, not for the apps testing.
• Missing possibility to test complicated features.
• Audience division in groups is not always accurate.

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• Higher inventories for audience targeting
• Greater effectiveness in the delivery of ads, as delivery takes place in many disqualified domains
• More dynamism to achieve better performance in campaigns

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Google has always been known to make easy-to-use products. The Google Optimize interface is intuitive and easy to follow for anyone.

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Google has well-documented resources and unlimited use cases that can be found online. Plus, their support is always helpful and available.

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Google Optimize being part of the Google stack makes it great in reporting and analysis. Wish Google would add more features like dynamic tests, multi funnel tests, conversion calculator based on the total number of traffic of the page being tested instead of using the websites total traffic. Should integrate form analysis, heatmap, and page analytics.

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Google Ad Manager is like an angel coming into your organization to save you when you've been battered, beaten, and bruised. The entire UI is a wonderful breath of fresh air. It just "works" where ONE doesn't. The costs, the learning curve, the data organization all outweigh EVERY SINGLE feature of ONE by AOL.

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• We were able to increase our main KPI for conversions by almost 50% by testing button copy.
• We were able to increase secondary KPIs for conversions by almost 30% by testing form design.

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• AdTech helps us determine where to steer our audience, and where to project our next campaign.
• AdTech helps us view data based on user likes, clicks, and analyze trends among our audience.
• What I don't like about AdTech is that it can sometimes put some people out of a job, as it streamlines work to the point that some on payroll may be...well, unnecessary.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info