10 Fragen, die Sie mit Pendo-Daten beantworten können
Phase 1
Akquisition
User acquisition is the process of converting people into new users–or customers–for your product. For most companies, this metric directly links to revenue growth and is important to continue monitoring over time.
How many new users have we acquired in the last month?
This question will help you understand how effectively you are attracting new users to your application or feature. It’s an important place to start when looking to understand growth for your product.
- Navigate to the Behavior tab in the left sidebar, then to Retention.
- Click Create retention report in the top right corner.
- Click “Select activity” to choose the app or feature you would like to see acquisition for.
- For Cohort type, select New accounts or New visitors based on how you’d like it measured.
- Choose a segment that will account for all new users (Pro tip: Segments are defined by a set of rules and provide cuts of data based on a variety of metadata attributes).
- Click “Run”.
- Under the graph shown, click “Chart breakdown” and select “Cohort breakdown”.
- There you’ll see on the left side of the breakdown, how many new accounts or visitors you’ve acquired in each month.
- Increase acquisition of new users by mapping the full customer journey, and seeing what users are doing before signing-up or logging-in to your app.
- Using Pendo’s mapping tools, you can identify where users drop-off during the acquisition process, and understand what actions lead to the most new sign-ups from your website. Learn more here.
Phase 2
Aktivierung
Once you’ve successfully acquired users, the next critical stage of growth is activation: ensuring those users understand your product’s value and continue to use it. Onboarding plays a central role in activation, making it crucial to reduce friction in the in-app onboarding experience.
Wie viele aktive Benutzer habe ich heute, in der letzten Woche und im letzten Monat?
Diese Frage hilft Ihnen zu verstehen, wie oft sich die Benutzer in Ihre Anwendung einloggen, was ein Zeichen dafür ist, ob das Produkt die Leute weiterhin anzieht oder nicht. Diese Frage ist zwar einfach, aber ein guter Anfang, da sie einen Anhaltspunkt für die Produktnutzung bietet.
- On a blank or existing dashboard, click Add Widget to bring up the widget library.
- Select the Visitor Overview widget.
- There you will see the number of total active users for today, the number of daily active users (DAU) from yesterday, the number of weekly active users (WAU) from the last seven days, and the number of monthly active users (MAU) from the last 30 days.
- Go to Data Explorer to see how these numbers trend overtime. Further, filter the data by user metadata to understand which user groups generate the most usage.
- You can also view this data by account using the Account Overview widget, which is most applicable for enterprise applications where account activity is more important than individual visitor activity.
How are users moving throughout my app?
This is another way of asking: “What’s the user journey map?” Seeing how users explore your product will start to shed light on which features they’re spending time on, and which areas they’re discovering early on. It also offers you the data needed to understand what they’re navigating to instead of desired events.
- Navigate to the Behavior tab in the left sidebar, then to Paths.
- Select the page or feature from the relevant app that is a natural starting point for a user first coming into your product.
- To start, keep the setting of showing paths that are “Starting from” the selected page or feature.
- Choose the date range and segment, or user cohort, you’d like to view for this path.
- Click Save & Run and name this report.
- Now that you see where many users start and end, take those two points and navigate to Workflows within the Behavior tab to see what they’re doing in between.
- Click “Create workflow” and set the beginning and end points as the Starting and Ending events.
- Adjust the date range and segment as needed, then click “Save and run”.
- Select the “Journeys” tab under the header to see a breakdown of the user steps between those points. Here you’ll see Top journeys, or can filter through all journeys.
- Curious to know if users are actually doing your “happy path”? Navigate to Funnels in the Behavior tab and enter each step of your happy path to analyze conversion.
- Include a Guide or step of a Guide within your funnel steps to see if it has any impact on moving users through your specific process.
- No matter the mapping tool, view user journeys by different persona segments to understand if one group is moving through the product differently than another.
Was sind die Kernbestandteile Ihres Produkts?
Mit welchen Funktionen beschäftigen sich Benutzer am meisten?
Sobald Sie ein allgemeines Gefühl für die Produktnutzung haben, ist es hilfreich, Ihren Fokus einzugrenzen und zu untersuchen, welche Teile Ihres Produkts für die Nutzer wichtig zu sein scheinen – und ob sie Ihren Erwartungen entsprechen. Diese Funktionen stellen die Bereiche dar, in denen die Benutzer ihre Probleme lösen werden. Sie helfen Ihnen zu verstehen, ob Ihr Onboarding und das gesamte Produkterlebnis die richtigen Verhaltensweisen fördern.
- From any dashboard, click Add Widget to bring up the widget library.
- Select the Feature Adoption widget to see which features are driving the most interaction in your product.
- Adjust the settings (date, segment, app) based on your needs (Pro tip: For the “Benchmark” setting, we recommend following the 80/20 rule and starting with 80% of feature clicks).
- Take note of the most-clicked features, and if those features are in a specific area of the product—this indicates that this part of the product may be the most valuable for your users.
- Click Save & Run, and give this report a name.
- Click on any feature in the table to view data for that specific feature, including the top visitors and accounts and the feature’s activity trends.
- If you’ve set up Core Events, compare the list of most-used features to your list of Core Events to see if users are accessing the areas of the product you believe are most important.
- Go to Data Explorer to uncover your most-used events, and add that report to your dashboard for monitoring. Here, you can also analyze by most-used within a certain product area rather than your product as a whole.
Finden die Benutzer wichtige Teile des Produkts schnell und einfach?
Da Sie nun wissen, wie die Benutzer mit dem Produkt umgehen und was die wichtigsten Teile Ihres Produkts sind, müssen Sie sicherstellen, dass die Benutzer diese Seiten und Funktionen so reibungslos wie möglich finden. Damit das Onboarding (und die Aktivierung im Allgemeinen) erfolgreich ist, müssen die Benutzer schnell und einfach einen Nutzen in Ihrem Produkt finden – andernfalls kommen sie vielleicht nicht wieder.
- From any dashboard, click Add Widget to bring up the widget library.
- Select “Time To First Use” widget to understand how quickly visitors first engage with your key events.
- Adjust the settings (date, segment, app) based on your needs, then click “Save”.
- Take note of which event takes the longest for users to engage with, which may indicate that it’s difficult for users find, or that it isn’t as important as you previously thought.
- Compare different user segments to see how time to first use changes—you can even compare against a segment of your most engaged users and use that as a benchmark to work towards.
- Take note of any events that show an increasing trend (indicated by the red up arrow) and investigate what tactics (or lack thereof) may be causing the increase in time.
- For a better understanding of the time it takes users to get to this feature or complete an action or process, use Funnels or Workflows in the Behavior tab.
Phase 3
Akzeptanz
Gut angenommene Produkte helfen den Nutzern, den Wert schnell zu entdecken, halten diese Nutzer bei der Stange und fördern die gewohnheitsmäßige, regelmäßige Nutzung, da das Produkt Teil ihrer Routine wird. Mithilfe von Produktnutzungsdaten können Sie feststellen, wie Ihr Produkt in Bezug auf diese Kriterien abschneidet. So erhalten Sie verwertbare Daten, mit denen Sie Ihr Produkterlebnis kontinuierlich verbessern können.
Nimmt die Nutzung wichtiger Funktionen im Laufe der Zeit zu oder ab?
Wenn Ihre Kunden Ihr Produkt weiter nutzen, sollten Sie sicherstellen, dass sie auch weiterhin mit den wichtigsten Funktionen interagieren — mit denen, von denen Sie wissen, dass sie mit Ergebnissen wie Akzeptanz und positiver Kundenstimmung korrelieren.
- From any dashboard, click Add Widget to bring up the widget library.
- Select the Page/Feature Use Over Time widget to see trending data on page and feature activity.
- Adjust the settings (date, segment) and select the pages and features you’d like to track.
- Select the appropriate metric based on what’s most important for you to measure—Views/Clicks, Visitors, or Accounts.
- Take note of any dips in page or feature usage and start to formulate potential hypotheses for a decrease in activity.
- Use the Data Explorer widget to compare page and feature activity over time for different segments or time periods.
- If you have a mobile app, you can also use the Data Explorer widget to compare web app usage against your mobile app to understand feature usage holistically.
Mit welchen Funktionen und Seiten haben die Benutzer Probleme?
Nachdem Sie ein Gefühl dafür bekommen haben, wie die Benutzer das Produkt nutzen, ist es sinnvoll, sich das andere Ende des Spektrums anzuschauen: Wo bleiben die Benutzer stecken? Diese Benutzer könnten aus vielen Gründen Probleme mit ihren Arbeitsabläufen haben – vielleicht finden sie nicht das, was sie in dem Produkt gesucht haben, oder sie verstehen nicht, wie sie sich auf der Plattform zurechtfinden können.
- Navigate to the Behavior tab in the left sidebar, and then to Funnels.
- Begin building your funnel by selecting the series of pages, features, or track events that you’d expect a user to engage with in sequential order.
- To start, we recommend looking at the most common flow that applies to the broadest set of users.
- Select the date range and segment based on your needs.
- Click Save & Run, and give your report a name.
- With Session Replay, navigate to Replay in the leftside menu, then select Library.
- You can search for replays by a specific app, feature, or page. Add a filter to analyze for a specific Event, Frustration type, or Duration of time.
- Suggested replays at the top will call attention to the events with the most rage clicks based on your search parameters, along with the events most-trending down or up in usage during that time.
- You can begin watching replays and getting an idea of where users are getting stuck, or navigate to Data Explorer in the Behavior tab to identify common frustration trends.
- In Data Explorer, click “Create Data Explorer report”.
- For “Select events,” click “Select all” for the app or apps you are searching for frustration in. Make sure “Track Events” is deselected from the activity types included, then click Apply.
- For “Measure by” scroll down and choose the frustration metric you’d like to see trends for. Adjust the segment, date range, or report filters as desired. Then click “Run”.
- You’ll see in the chart and Breakdown how many Rage clicks, U-turns, or Error clicks occurred depending on what you measured by.
- With Session Replay and Data Explorer, you can also compare frustration metrics by different user segments or by different features and apps.
- If it’s a step within a process that users are struggling with, be sure to map it using Funnels or Workflows. This will allow you to pinpoint where drop-off is occurring and for what users.
Welche Funktionen und Seiten ignorieren Benutzer?
Dies hilft Ihnen zu verstehen, welche Teile des Produkts für die Benutzer irrelevant zu sein scheinen, und kann sogar Funktionen aufdecken, die Sie eventuell streichen möchten, um den Funktionsumfang und die Supportkosten zu reduzieren. Ähnlich wie bei der Frage, welche Funktionen von den Benutzern am meisten genutzt werden, ist es auch wichtig zu sehen, ob bestimmte Funktionen der effektiven Produktnutzung im Wege stehen.
- On a blank or existing dashboard, click Add Widget to bring up the widget library.
- Select the Feature Use by Visitor.
- Enter the date range, segment, and app you’d like to analyze usage for.
- Click Save.
- Now you see at a glance, which features or pages have the lowest visibility.
- Take note of any pages or features that have no activity over 90+ days, as these may be good candidates for a potential sunset.
- Compare and contrast the above set of pages and features against your mobile app and consider a tandem sunset.
Phase 4
Retention
Die Fähigkeit eines Produkts, Nutzer zu binden, wirkt sich direkt auf die Einnahmen des Unternehmens aus, insbesondere wenn die Kosten für die Gewinnung eines Kunden höher sein können als der ursprüngliche Vertragswert. Mit Hilfe von Produktanalysen können Sie feststellen, wo Sie stehen, und so besser erkennen, worauf Sie Ihre Bemühungen zur Kundenbindung konzentrieren sollten.
Wie oft kehren aktive Benutzer zu dem Produkt zurück?
Die Beantwortung dieser Frage gibt Aufschluss über den natürlichen Nutzungsrhythmus Ihres Produkts und ermöglicht es Ihnen außerdem, Unterschiede im Nutzungsverhalten zwischen Benutzersegmenten oder Personas zu verstehen. Am wichtigsten ist jedoch, dass Sie Veränderungen in ihrem Verhalten im Zeitverlauf beobachten können.
- From any dashboard, click Add Widget to bring up the widget library.
- Select the Stickiness widget.
- Configure the Metric setting to best represent ideal usage for your product (For example, DAU/WAU for an enterprise application since it’s typically used on a weekly basis).
- Adjust the other settings (date, segment, app) based on your needs.
- Take note of any unusual dips in the chart, and be sure to track average stickiness over time to see if it’s slowly increasing.
- To see what your ideal stickiness should be, add a segment of your healthy customers (you will need to define what “healthy” means for your business) to the Stickiness widget, then compare that to your average stickiness.
- If you have an accompanying mobile app, compare its stickiness against the web app and take note of any differences.
Wie viele Benutzer, die mit einer wichtigen Funktion interagieren, kommen zurück?
Start by analyzing retention at the app level to know if your product is drawing users back consistently. Next, it’s useful to examine retention at the feature level, and specifically at an individual feature’s ability to keep users engaged. Ideally, the features you believe add value to the user experience will also correlate with continued usage of your product.
- Navigate to Behavior, and then to Retention to view the Retention chart.
- In order to understand feature retention, select a specific page, feature, or track event under the Source setting (instead of All Activity).
- In the Cohort Settings, select the Cohort Type and Size relevant for your product.
- Adjust the segment and date range as needed.
- The chart now reflects retention filtered by activity of the selected page, feature, or track event—take note of the impact of the selected page, feature, or track event on user retention.
- Continue to select other features that you believe are high value—if they show low retention, you may want to consider using in-app guides to improve discoverability.
- If you’ve recently launched a new feature, use the Retention chart to see if it’s helping to increase overall user retention (If it’s showing high retention, the feature may be a strong activation point that you want to drive new users to during onboarding).
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