Amazon Elasticsearch Service vs. Dynamic Yield

Elasticsearch is a good alternative to relational databases for setting up complex searching of data. It's inbuilt features for slicing the data [in] different ways and its ability to add weights to search results makes it easy to set up complex searching scenarios. Given that data must be pushed to this service, it may be best suited for data that is not changing very rapidly.

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For us, it is well suited for personalization. Since we are hospitality brand, we have different rooms sales inclusion based on different segmentation like Mem or Non-mem, Global or UAE, we have to personalize our landing pages accordingly so that we show the relevant information to relevant audience. The inactivity pop up box and newsletter signup popups work good for us. It does not work well in some scenario like Dynamic Yield offers built-in analytics focused on campaign and test performance, but it’s not a replacement for tools like GA4, Adobe Analytics. It lacks deep funnel tracking or complex reporting capabilities.

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• Search
• Query language
• light-weight

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• Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
• An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
• The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.

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• It is not so simple to learn.
• Documentation is often very confusing.

• Brand templates could need complex CSS/custom code.
• We'd like to see a little "i" next to specific labels, which elaborates on what is meant. For example, when I hover over "Dynamic allocation," I get something like "An advanced form of A/B testing where the best-performing variations receive higher traffic."
• Jargon (for example, for audience targeting) can be overwhelming for new users; therefore, clearer, user-friendly explanations are needed.

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implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company

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It is an extremely powerful tool if the time is put in to learn it. There are basic skeletons of out of the box behavior, it involves having really dedicated people to learn how to use it to take full advantage of its capabilities. A 10 for the tool itself, minus 3 for the difficulty in learning and maintenance

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Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.

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Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.

My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.

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Splunk is the most flexible of the 3 where you can manipulate the data to whatever fits your specific use case. Grafana has the most powerful capabilities but the steepest learning curve. Grafana also does offer the most flexibility as you can visualize almost any data source. Elastic is a solid middle ground between the 2

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Dynamic Yield provides far more capability and ready-to-go templates for small-medium sized businesses, as well as decent API implementation for businesses who want to have a deeper integration. The ease of implementation and faster time-to-market is why we chose Dynamic Yield.

• The cost is a bit expensive if compared with other clouds but [the] performance is very good.

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• Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
• Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.

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