Overall Satisfaction with Dynamic Yield
We use Dynamic Yield to power custom content inclusions on our pages, either conditionally by custom audience or according to user demographics (i.e. location, device). We also use Dynamic Yield to serve creatives to promote publication subscription, A/B testing them for best CTRs and order completions.
- A/B Testing of Creative - this feature allows us to trial multiple creatives and messages without having to force a choice between any one. This gives us much greater freedom in messaging and improves our development workflow by not artificially restricting our choices.
- Audience Segmentation - We can segment our audience based on behavior (social sharing, content consumption rates, etc.) and target them with messaging specific to their interests. We can then provide reports on how different audience segments are interacting with our content, and especially how our differentiated messaging is helping to improve those interaction rates.
- Display Ads - We have used this feature to create display ads that run through our ad system, but they allow us greater flexibility to A/B test creative. We have also used this to provide retargeting or purchased ads to third parties, and this give us much more control over the deployment and testing of creatives without needing to send the third-party new ad codes.
- The analytics of Dynamic Yield are not very clear, and do not always match up even closely with our Google Analytics. Their measuring criteria is different, so I understand the discrepancies, but it sometimes causes problems for me when producing reports from both systems and having to explain why the numbers are so far off.
- The documentation is not always very helpful. It provides basic instructions on how to do things in the interface, but does not provide nearly enough specific examples on how to set things up. For most things beyond a simple setup, I have to get in touch with my CSM, and this is problematic in cases where I need to be able to act quickly.
- I have encountered problems using templates for the Site Personalization. Specifically, when updating a template, it takes a very long time for the actual code deployments to update, if at all. Most of the time, if I do want to change a template, I have to uncouple the variation from the template, make the changes, and then save a new template.
- Positive impact has been felt in our ability to A/B test promotional creatives in real-time, thus reducing the amount of time and cost incurred in developing and testing creatives in sequence, one at a time.
- Positive impact has been felt in using targeted messaging to increase our subscriptions to products like newsletters, podcasts, or social media
- Boomtrain and Optimizely
We prefer Dynamic Yield because it offers all of the tools we need to customize our customers' experience on multiple sites, sharing that information between different publications, so that we can target messaging more specifically according to interest.