#Amplitude vs pendo trial#

Implementing tools for clients is a core focus of our tech consultancy. What Are Some of the Top Product Analytics Tools? Dead Ends: Where did users run into errors or other unexpected hurdles that can be fixed?.Usage Funnels: Which steps or interactions cause the users to drop off before they complete a flow, such as an in-app purchase?.Product and Feature Usage: Which features lead to higher engagement or retention, which features help form habits, etc?.The development or design team wants to know how the product is being used, whether it's engaging customers, and what can be improved: Churn rate and retention rate are two of the main metrics contributing to customer lifetime value (LTV). Retention rate: Represents the number of users that continue using your product or service over a given period of time.Churn rate: Represents the number of customers or users that terminated their subscription or didn’t renew it in a long time.Recurring Revenue: The predictable revenue your product will generate per month (MRR) or year (ARR).Determined based on “On a scale of 0 to 10, how likely are you to recommend this product or service”. Net Promoter Score (NPS): This metric measures how likely customers are to recommend the product to other prospects.Monthly Active Users (MAU) and Daily Active Users (DAU): Determines whether your user base is growing and whether long-term users are actively interacting.Here are the metrics they need to get the job done:

Product customer success teams focus on the retention and growth of customers. Learn more Metrics for the Product Customer Success Team

#Amplitude vs pendo trial#

Conversion rate from trial to paid: the % of people who advanced from trying your product to actually paying for it.

Acquisition rate: the volume or speed at which you acquire new customers.

Customer acquisition cost (CAC): the average amount of money you spent to convert a customer.

Often, the same metrics are also applicable in the sales team. The marketing team focuses on customer acquisition. Different teams have different needs, and their needs influence the choice of metrics they’ll work with. The product analytics metrics you’ll care for the most will be based on the team you’re working with. What Are the Most Important Metrics in Product Analytics Tools? Instead, it should be able to exchange data both upstream and downstream.

Integrations: Your product analytics tool may not lead to data silos.

You’ll know where they dropped off, and you’ll be able to test for why.

Funnels: Funnel reports in product analytics provide insights into how users are navigating your product.

It’s even better when your tool makes this customizable and shareable, so you can easily communicate key information within your organization.

KPI dashboards: Dashboards summarize key metrics and reports in one single location.

User segmentation: When your tool gives you comprehensive cohort data, you’ll be able to create tailored experiences and resonate with your audience.

You’ll be able to use those to generate automated and personalized interactions.

Ability to add or analyze events: Your product analytics tool needs to be able to manage events or create triggered events.

Since the user journeys are long and non-linear, you need a tool that’ll enable you to track and identify customers across various devices and touchpoints.

Tracking: Users leverage different channels to engage with your brand.

Let’s take a look at some key features your teams can take advantage of. Gain deeper insights into your marketing efforts with Improvado Explore Key Features of a Product Analytics Tool