Mixpanel is an analytics platform used by companies to improve user engagement and boost retention through features such as behavior tracking, funnel analysis, and A/B testing with the intent of streamlining the user experience.
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Segment |
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Deployment | Cloud / SaaS / Web-Based, Mobile Android, Mobile iPad, Mobile iPhone |
Training | Documentation |
Languages | English |
Dashboards are super easy to create, all most of the functionalities can be learned in a day or two. The free plan covers most of our needs which is huge since our budget is limited
Weeks of implementation. It would be great to be able to reduce the implementation time (similar to google analytics)
Product improvements, customer analysis and client analytics.
i think it is easy to integrate with segment is the best thing . Since we have a wide range of customers, it's helping really well to understand and analyze our customer behavior. it's easy to download and document the results.
Dashboard cen be changed for a better user experience.Filtering is a little bit confusing
It's helping with the customer behavior data. So we can plan our development and future with it.
I really like that I can quickly get to the user-engagement statistics I need. It's a quick, lightweight, and easy-to-use software. I haven't used any competitors, but I'm guessing they're more involved and the barrier to learn the software may be higher than Mixpanel.
It could be more intuitive and they could offer better real-time customer support. I also wish they could make and save common reports that we'll need to pull every month like stickiness
I've been able to learn more about where users are engaging with our software and more importantly, where users are not engaging. We've used Mixpanel data in our QBR review decks.
Presentation is very unique there are many for analyse the date Graphs and charts
Accuracy of the data and downloading option
Visibility day on day business
Can discover a lot of data on user journey and behavior to proper analyze performance.
A bit of learning curve to understand how to use it properly and benefit from all the features.
Truly understanding lead performance and user behavior.
Simple and minimalistic design, easy to use. The events in Mixpanel are not the best side and sometimes you can not provide some informations.
Sometimes there is delay in the app and the events do not provide real results.
Measuring app success.
The most outstanding function of Mixpanel is the number of sources you can import data from and blend within your reports. As I use Google Ads daily, having the ability to import data using labels is helpful for proactive campaign management. Otherwise, we would have to deal with the delay from Google Ads; Mixpanel fixes this issue and helps us manage campaigns more efficiently.
The UI. Recently there has been an update to our reports which makes most columns difficult to view unless we hover over them. As we have over 50 rows in some reports, this has made data analysis longer than before.
Our most prominent solution on Mixpanel is that we can identify technical issues before we would have otherwise. A simple downtime from an external server can have a considerable impact on our marketing. However, Mixpanel allows us to spot this earlier and make quick adjustments to our marketing to limit the damage it will cause.
Ability to customise the tracking for my specific need.
Nitpicking here. Steep learning curve when it comes to using the insights.
The insights allows me to measure the success of feature launch. I am able to put hard metrics on the impact of certain features, making the decision making process to be more data-driven.
It is easy to use. The UI and the live view of events enables near real-time validation of the data we sent.
The data warehouse pipelines are limited to hourly or daily. There are times when the data comes in later.
Mixpanel does not require us to build our own setup of analytics capability upfront but as you get more complex you might start building your own to tie the user data.
Access to complete, unsampled data sets; funnel reports; retention reports
User flow reports could be better; also not thrilled that they deprecated their A/B testing feature
Analyzing user behavior, retention, and attributing behavior back to media sources and marketing.
Insight reports are relatively easy to structure, and it's great to be able to save them and share them with the team. Quickly creating custom events is also very helpful when I need to look for a specific issue a user is having, and I don't want to go through all of their events one by one.
It would be helpful to hide specific event properties to make it easier for junior team members to use the profile view without wading through properties that are irrelevant to them. For CS, it would also be hugely valuable for Insight reports to track events by the second they are created and not just minute.
Searching for issues users are having by looking at their events and behavior. It is beneficial to then compare those users to our general userbase to see if similar behavioral patterns are appearing or if multiple users are experiencing the same issue.
UX is excellent A lot of flexibility Performance is very good
Nothing special, didn't get the first invitation to sign up but it seems to me like a false alarm of Proofpoint's email Protection
Analyzing tons of data to optimize the UX , it's much better than the alternatives
Mixpanel makes it easy to see trends, break down events and data by various segments/properties, which makes it easy to (for example) demonstrate the adoption rate of a new version or view what countries use which devices/browsers. The charts and dashboards look good, more than good enough to demonstrate data highlights to product personnel.
The hardest thing can be finding an individual event. Not that it's challenging to set up a quick insight report where you figure out which event you're looking for then filter it by value, but the fine detail can be more difficult to figure out than feels necessary.
We get performance metrics, device and browser share information, exception logging, and user interaction flows through Mixpanel. This allows us to determine what issues users experience even if they don't report it, and provides crucial context when they do report an error. The benefits have been manifold, both in being able to make informed decisions about what we do/do not need to support, as well as prioritizing defects as we can see the actual error rates.
Mixpanel is incredibly powerful once you have integrated it. We use it daily to monitor KPIs, measure the impact of specific events, and identify customer segments. This tool has given us a unique insight into our customers' behavior beyond what we have been able to analyze with other tools. Not only can we monitor key metrics, but we can create cohorts from those reports and dig into the user data to find trends. I love that they send clear explanations of new features with each update so we can stay on top of the features of this powerful tool.
Support can take a few days to respond. They are incredibly helpful once they get back to you but the delay can be frustrating. Mixpanel is also sunsetting their messaging feature at the end of this year so we are forced to transition to another tool that integrates with them.
We use Mixpanel to track all our customer-based data. This measures everything from our high-level KPIs to nitty gritty QA monitoring or funnels. It is integrated with our CRM and support center so we can stay on top of user activity.
I really like visualisation of data and how easy it can be to breakdown over a time period to quickly pick up the desired data points.
When setting up charts it is not always the most intuitive and can require a bit of playing around with it to get the desired axis. I'd suggest making this is simple as possible to remove the barriers to entry.
I'm using it to visualise data. I'm about to quickly see the insights we need to make strategic business decisions.
User-friendly nature and overall fast response times in searches
UI Ambiguity, sometimes categories have similar nomenclature
Keeping track of user ID's and their overall contributions to the api
It's easy to get started I am able to setup and view the report in 2 days
Cannot contact techincal support for providing how to utilise Mixpanel for my use cases. Have to google and go through docs by myself
Track where user drop offs during the onboarding process Track onboarding conversions
I appreciate how easy it is to create user cohorts. It's also great how simple of a task it is to implement the tracking of a new event on the backend.
I don't like how you can't search by Mixpanel's distinct ID in the users page.
We're learning about which features in the app our users are utilizing. This is helping us to optimize the way our app is designed.
- Insights – Ability to see how the data is flowing along with breakdowns and filtering. - Funnels - Great way to visualize company’s important metrics and KPIs. - Users tab - Helps with validation and QA data, and getting familiar with company’s events and properties. - Dashboards - Contain all insights and metrics, very useful and straightforward for other parts of the company: Analysts, PM, QA and more. - Customer Support: Extremely responsive and helpful. - Functionality: Creating new segments, events and properties.
- Lack of documentation (advance funnel guidance, JQL examples and more). - Additional visualization that could tell the metrics story in a better way. - Consistent delivery speed for all data (In some of the cases user level data is not sent within couple of minutes which makes it hard to understand user flow).
Data and Tracking issues, KPIs, funnels and conversions
Intuitive and easy to start. Flexible data structures. Flexible filtering (querying) and charting capabilities. Wide range of out-of-the-box aggregations and data analytical tools. Sufficient flow, funnel, and retention analysis.
When it comes to product management-related tasks there is too much focus on event analysis and not enough focus on user/object analysis that is not necessarily temporal.
Product usage measurement, validating experiments, analyzing product flow/funnel steps to optimize. Analyzing different types of users and how they engage with the product.