Mapp Intelligence, powered by Webtrekk vs. Optimizely Feature Experimentation

Webtrekk is a good tool to get insights on your website and app usage. It is possible to get more information on your campaigns and engagements. If Webtrekk is in use with Mapp Engage, it is possible to manage your campaigns with one tool.
It is not possible to use Webtrekk as data lake, but Mapp is actually developing a Customer Data Platform.
Webtrekk (Mapp Intelligence) is a web analytics tool, so it has to be used as web analytics tool.

Incentivized

It is a great tool when you have apps written in different languages and don't have common data storage for these applications, but you like to enable/disable functionality in multiple services at a time. It is well suited for blue/green deployments, too.

Incentivized

• Good visualization in reports for marketing and c-level.
• Part of the big picture Mapp Suite (Engage Intelligence Aquire).
• Integrated tag management.
• No sampled data.
• It is possible to combine 90% variables and metrics.

Incentivized

• Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
• Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
• Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.

Incentivized

• Webtrekk (Mapp Intelligence) should invest to go real time or near real time.
• Build more APIs to use 3rd-party data in Webtrekk and use Webtrekk Data in 3rd-party tools.
• Webtrekk should build better click-path-analysis and journeys.

Incentivized

• Splitting feature flags from actual experiments is slightly clunky and can be done either as part of the same page or better still you can create a flag on the spot while starting an experiment and not always needing to start with a flag.
• Recommending metrics to track based on description using AI

Incentivized

I think setting up experiments is very straightforward. It's also very easy to get started on the code side. I think if someone was new to Optimizely Feature Experimentation there could be some confusion between a flag and an experiment. I still get confused sometimes by if I turned the right thing on or off.

Incentivized

We are talking weekly to our Partner Manager. We are Webtrekk experts, so we don't use much direct support.

Incentivized

It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it

Incentivized

Webtrekk is a German company, in the U.S. company Mapp. It is fully GDPR-compliant. It is not expensive compared to Google and Adobe.

Incentivized

We haven't evaluated other products. We have an in-house product that is missing a lot of features and is very behind from making the test process easier. Instead of evolving our in-house product with limited resources, we decided to go with Optimizely Feature Experimentation when we saw that other big organisations are partnering with you.

Incentivized

had troubles with performance for SSR and the React SDK

Incentivized

• Get insights into your web data.
• Use the marketing automation for easy use cases (save your money by not using expensive 3rd-party tools for simple marketing automation use cases).
• 1 tool for over 20 apps and 100 websites.

Incentivized

• Experimentation is key to figuring out the impact of changes made on-site.
• Experimentation is very helpful with pricing tests and other backend tests.
• Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.

Incentivized