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Amplitude Analytics

Score8.3 out of 10

144 Reviews and Ratings

What is Amplitude Analytics?

Amplitude Analytics is an analytics platform for mobile and web. It is designed to help organizations segment users and analyze funnels, retention and revenue.

Amplitude Analytics helps product marketers to achieve actionable insights from customer digital journeys and uses behavioral graphs to build customer-focused products. Amplitude also optimizes digital products for increased quality engagements, increased conversion rates, and long-term customer loyalty.

AA is A-okay with me!!!

Use Cases and Deployment Scope

We used the paid enterprise plan to simplify the experience of our users (digital healthcare) while trying to turn clicks into visits to offices/clinics. It was a great way to get a snapshot of who visits the site then a physical location.

Pros

  • Engagement
  • Retention
  • Support materials

Cons

  • Event segmentation UX could be easier (but it isn’t bad at all)
  • Can be initially hard for a non-analyst to use
  • Moving data to/from

Return on Investment

  • Slow to get started (mostly a people problem, not an AA problem)
  • Great for reengaging with short visits

Usability

Alternatives Considered

Heap and Userpilot

Other Software Used

Optimizely Content Management System

Utilizing Amplitude Analytics for Marketing and Product Marketing

Use Cases and Deployment Scope

I use Amplitude Analytics to track user behavior in our mobile app specifically within funnels I want to track and analyze when users drop off out of the funnel. This helps me prioritize testing improvements at the steps where I see the highest rate of drop off increasing the rate in which users make it to the conversion step. I use Amplitude to understand steps within a mobile product as well as the behavior of users coming in through marketing efforts to track effectiveness of those marketing campaigns.

Pros

  • Tracking attributed marketing efforts with a conversion metric
  • Show details steps in a conversion funnel and the rate in which users complete those steps
  • Show retention rates of various audiences to track overtime
  • Compare time periods to visualize changes in the rates in which an event is happening

Cons

  • More onboarding materials for brand new users.
  • How to's to better understand the unique data that your company has integrated with. Each team is different, names things differently, tracks things differently, having something for data engineers to fill out to educate a broader audience would be helpful
  • More resources for marketers

Return on Investment

  • Great ROI, the amount of tactical information I'm able to pull from Amplitude is huge
  • Helps align marketing, product, engineering, and leadership on key metrics and pain points in the product
  • Can create comprehensive dashboards that enable various team members to quickly view and understand complicated data

Usability

Alternatives Considered

Mixpanel, Heap and Google Analytics

Other Software Used

Iterable, Klaviyo, ChatGPT

Drive data-backed innovation with superior product analytics

Use Cases and Deployment Scope

Amplitude has been my organization's primary solution to the challenge of gathering insights about our customers that can inform our product strategy. Our key priority is to know our customers better at all stages of their engagement, and Amplitude provides the data we need to drive good product decisions. We've currently implemented over 50 events mapped to core site experiences and pathways that we want to gather data on, to assess if those product areas are meeting their KPIs.

Pros

  • Self-serve, actionable analytics on in-product customer behavior delivered quickly
  • Deep exploration of customer behavior data with multiple segmentation options, funnels, etc
  • Scalable & built for team adoption
  • Allows data governance by product & non-technical users

Cons

  • 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

Return on Investment

  • One of my organization's key priorities is data-driven innovation; Amplitude has given us the toolset we need to measure our KPIs more effectively
  • Allowed us to reinvest time that would usually be spent by our data analysts gathering insights for product, back into priority work
  • Mitigate risk by spotting anomalous behavior that could indicate a product failure or bug

Usability

Alternatives Considered

Mixpanel

Other Software Used

Miro

The gold standard in user behaviour analytics.

Use Cases and Deployment Scope

Amplitude Analytics is our solution for measuring user behaviour in our SaaS product. It is the gold standard in this category but comes along with the price tag to support those claims. It boasts a range of robust features, but it really depends on how proficient your teams are with these tools to see if they will get value for money.

Pros

  • Charting
  • Visual query building
  • Workbook creation

Cons

  • Query building could be more intuitive

Most Important Features

  • Easy query creation
  • Diverse query options
  • Shareable workbooks

Return on Investment

  • As we grow I expect it to provide a quantitative source of truth for team decisions.
  • This ROI will be felt in how it fuels operations but avoids working on the wrong things.

Alternatives Considered

Mixpanel, Google Analytics, Heap and FullStory

Other Software Used

productboard, Dovetail User Research, Slite

Amplifying Product Reach with Amplitude

Use Cases and Deployment Scope

We use Amplitude Analytics to: Increase the Retention rate of our most valuable Experiment with Features and Measure Outcomes to drive Product Roadmaps Personalize Product Experiences based on Behavioral Data

Pros

  • Providing insights into Customer Behavior and Product Usage
  • Integration with Business Applications
  • Customer Segmentation

Cons

  • Need to provide more depth in capabilities for dashboard customization
  • Not as intuitive as some other competitors and requires training effort
  • Needs more flexibility to adapt to changing data structures

Most Important Features

  • Funnels feature to understand user engagement
  • Pathfinder feature to aggregated user flows
  • Ability to plan, track and analyze product experiments

Return on Investment

  • Increased customer adoption by 50%
  • Reduced churn date by 20%
  • Accelerated outcomes from A/B experiments

Alternatives Considered

Mixpanel

Other Software Used

Mixpanel, Google Analytics