Amplitude Analytics vs. Convert Experiences

Amplitude Analytics is an excellent solution for anyone with a mobile app and you want to track what users are doing, are they completing conversion steps, and are they coming back more often. This all helps you visual your customer bases engagement and help project future engagement and create goals. This also helps with prioritizing products to address drop-off points in the product to increase conversions.

Incentivized

Definitely well suited for budget conscious companies that want a solid array of functionality but without having to pay an exorbitant amount. Great for marketing and analytics team members that need the ability to get in and set up tests w/o dev assistance. But, functionality is there for developers to get in and set up more complicated tests.

• Feature analytics - measuring frequency of usage
• Time taken by users to convert in funnels
• Actions that drive certain user behaviors in funnels via correlation
• Actions that lead to user drop off in funnels via correlation
• Comparing behavior of two custom user cohorts

Incentivized

• Over the top powerful Javascript enabled targeting. This feature is called DMP Profiling and is available in the Pro Plan, currently only +$100 more than the plus plan. An article explaining this feature is here for further reading: https://convert.zendesk.com/hc/en-us/articles/206631623-Target-experiment-based-on-a-custom-Javascript-condition-that-evaluates-true-at-a-later-stage. I wrote up a much longer explanation but TR broke it up weirdly. The gist is that you can powerfully use JS to target. This allows me to target users in our SPA in incredibly advanced ways. I can walk their entire history model and assign them an audience value, or I can exclude them. It's MUCH more powerful than just a "Site Area" tool. We recently used it against 900K users to check if they had written a review of their apartment or not yet. This allowed me to only expose the user on the homepage to an experiment that prompted them to write a review while excluding users that couldn't write a review from the experiment (because they had already written one). The experiment converted 50% better than what we do now, generating 9k reviews in a matter of hours.
• Audience targeting IN ADDITION to all that fancy DMP targeting. This means I can define demographics or other data as a qualifier AS WELL as the previously mentioned qualifier. This can be setup in so many ways: Traffic source, Visitor Data, Include / Exclude users part of a current experiment (!!), Date/Time, Device/Browser/OS, JS Conditon
• Real-time reporting that makes sense to the whole company to view. Seriously, I can share a Convert Report to any level of intelligence on my team and they understand what's happening.
• Audiences and Goals are saved as presets, so your entire team can use them. Using the example above, we have an audience called "Wrote a Review" that we exclude from the Review Prompt treatments.
• Their customer support is seriously fast at answering questions. I've never had to wait more than a day.

• Some offerings seem duplicative, like dashboards and notebooks, which only seem to differ in that one can subscribe to dashboards
• The messaging on valid vs invalid property types could be better explained to clarify which types (string, Boolean, integer, etc) are expected in particular scenarios. Though the type is usually set during event creation, we've often seen examples where the data received in production is different, leading to 'invalid type' errors

Incentivized

• We are aggressive testers and have demanding clients, and if there was any part of the Convert platform where I'd like to see improvement, it would be in the reporting section where I feel a vertical report could present in a more readable fashion to the users.

Great product Good value for the cost/initiate Support docs and FAQs are great - they limit the necessity of reaching out to in-person support. So when you do call them ... it is for a legit question/issue, no just a "where is it" or a "how to I do xyz123?"

Incentivized

Couldn't live without this, no other tool does precisely what we need them to do

It's a fairly straightforward platform that's beginner friendly. The biggest usability hurdle is most often created by your own team, as it's imperative to know what event sources are being sent to Amplitude and what those event names are. Within being properly onboarded by a team member it can be hard to get started using Amplitude. It takes time to understand what data your company may be sending to the product, the naming conventions of events (especially if there are old or deprecated events names

Incentivized

To use the platform in the context of developing enhanced tests that stretch the platform there is as with most things a learning curve. However, if you're a casual user or have standard experiments that you wish to run you would be easily able to hit the ground running.

Alway up and running, or if there is a problem we can get back in the game right away. The reliability was a big selling point for me, and it was true when this company got it. Rollouts can be tough, but this was pretty seamless. Good support throughout the process, good documentation to handle questions/tips

Incentivized

No issues, problems, or negative remarks from us!! We had a plan, vendor support was rock solid, our data folks have experience, OCM supported as needed, and we got the rollout done on time, on budget, and with only minor hiccups. SInce the rollout, most of us have already forgotten the hiccups and generally speak highly of the product

Incentivized

I haven't used the Amplitude support other than their training docs so I can't speak too much to the in-person support but the docs are serviceable. Nothing too crazy but between the user tips, email notifications, and the decent number of docs I was able to get the support I needed to ramp up on the tool.

Incentivized

I use support only in very emergency cases. The support hasn't been very helpful and suggests the problem is on my site

Incentivized

Virtual Not bad considering the timeframe and turnaround. The biggest benefit was for my end-users to hear a voice (other than mine/ours! LOL) telling them about the new features and capabilities. The in-person training was really good for having an expert that knows the answers and could refer to past experiences, problems, solutions. THey were a great resource to ease the transition ... basically a "you are gonna be okay with this change ... you got this etc.!" kinda vibe

Incentivized

Good enough to get strong baseline. I always make sure our our users go to and/or focus on the vebndor-provided support docs rather than any formal training. Our instructors come and go, but written policy and how-to docs live much longer in a corporate setting. That said, the online training is sufficient. I like that the training curric is stacked and progressive.

Incentivized

My team members all have background as data analysts, so Amp was pretty easy to for them. There was sufficient online training available. We also used the available support documents. The actual rollout went well. We did significant testing beforehand. We did a phased rollout, with partial silent rollout (part of OCM's plan) for the smallest line of business. THe silent one was "silent" b/c it was done without fanfare or public notices ... it was just a "we're doing some things, it wont impact your work or workday

Incentivized

Amplitude Analytics provides much more granular data than Google Analytics and gives you much more flexibility in how you can segment and splice the data. It also provides the ability to create closed funnels, which I have yet to find out how to do in Google Analytics. Amplitude has a very similar interface to Mixpanel, with a few handy additions, like the ability to name and categorize your events.

Convert was selected based on price point, feature set, and UI/UX. All three are very friendly to new testers and small to mid-market size companies. Their UI and tool workflow is the best out of all of the non-enterprise solutions that I have tried. There is some small room for improvement, but that only really affects power users or tests that require significant coding/development work to execute.

It is a good product. You have to pay for quality ... kinda like buying a Lexus or a Toyota instead of a Buick or a Chevy

Incentivized

Like all the other grades, it was mostly an easy implementation ... we have experience people, the rollout in general is well planned, and the vendor was very supportive

Incentivized

• It collects data of great importance which allows to make product improvements.
• It easily identifies problems a user may have with the product.
• The flow of users who have used the product has improved, thus being able to generate more income thanks to the improvements and new functions.

Incentivized

• Using Convert has allowed us to make quick decisions on site edits and price changes. Seeing and sharing quick results makes our operations much more profitable.
• Connecting the tests with Shopify has produced very valuable and timely results that we can act upon as soon as we see statistically significant results.