Insights: Using product analytics to find metrics that predict retention


Let me jump right in: With product analytics, customer retention isn’t just something you measure after the fact; it should be something you can learn to predict (and then improve). Simple: Product analytics tools have become super easy to set up and use.

How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Often I start my analytics conference keynote addresses by asking the audience to share the issues they face in their organizations. Why are they requesting that dashboard, analysis, or model?


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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry.

How To Collect Data for Product Management Analytics and Act on It? [Best Tools Included]


Do you implement product management analytics from the onset of a product launch to understand user behavior and timely improve the product based on the findings? What metrics should you track to turn them into actionable insights? Ready to dive into product management analytics?

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications. Some data discovery vendors tout that they already deliver “self-service to the masses,” but that’s a dubious claim.

How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Continue reading on Towards Data Science ». business data-science analytics data data-literacy

Analytics - Google Free

The Product Bistro

As I drift further from Google properties, trying to rid myself of as much of their tentacles of control across the web, I made the decision to delete the Google Analytics tracking in my web properties. and its installation is as simple as Google analytics.

Saas analytics tools [Best 20+ SaaS Analytics Tools For 2021 – By Use Case]


Data is the engine for SaaS, but without data analytics tools , your SaaS team will not be able to make sense of the data. The right set of SaaS analytics tools can help you generate actionable insights that fuel strategic decisions.

Product Operations Dashboard

Product Management Lessons from the Trenches

You reach out to all department heads and request to get data for your analysis: Marketing team for data on campaign conversion, customer support for data on call volumes, account team for data on customers feedback, product data for usage, etc. I am sure we have all been in a situation like this at some point in our careers and can related to the frustration of not having access to data to make the right product decisions.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Product Analytics Tools 101: The Only Type Of Analytics Tools You Really Need As A Product Marketing Manager


Which product analytics tools should you be using? How many analytics tools do you need? And what type of analytics really matters for a product marketing manager? By the end, you'll know the only type of analytics tools you really need as a PMM.

Data democratization in product analytics—and how to get there


If you want to leverage data to generate great insights about how customers are using your product, getting that data into a product analytics platform like Mixpanel is a huge and important step. This is just as true in self-serve-friendly data tools like Mixpanel.

How to use SaaS analytics to reduce churn in 2022


Are you wondering how to effectively use SaaS analytics to reduce churn? You can collect heaps of data but they won’t be of any use if you don’t know what to do with them. SaaS analytics allow you to leverage the data to gain actionable insights and make informed decisions.

User Analytics for SaaS – The Ultimate Guide to Behavioural Analytics


Wondering how you can boost your product growth with user analytics for SaaS? User analytics tools provide valuable insights into user behavior, i.e., what users do inside your product and why they do it. What is user analytics? Google Analytics.

Start Taking Your Embedded Partnerships Seriously

Choosing the right embedded partner matters. See the many reasons why developers love Qrvey (and why you will too!) in this free PDF.

Crafting Visualizations Designathon

Modus Create

Our UX team noticed one such pattern: we are getting a lot of sales calls and clients that need visualizations of data. As companies are tracking more data, there is a growing need to better understand that data — and visualization is a critical tool to help.

Winning product analytics


Achieving our next leaps and continuing to define the future for product analytics will require the same hard work and handshakes that have gotten us this far. Mixpanel enables product teams to learn from their user engagement data. Product analytics for the modern data stack.

Best user analytics tools for SaaS


When it comes to boosting your product growth , user analytics tools can make your life a lot easier. These tools offer insights into what your users are doing inside your product and why they are doing it. But how do you know you’re picking the right tools?

Flexible and secure Data-as-a-Service delivered today

Birst BI

How many duplicated, dirty data pipelines are running throughout your organization? Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. DaaS is a core component of modern data architecture.

Why Product Led Growth is a Customer Success Responsibility

Product Led Growth is fast become a leading business driver in the SaaS world. Find out why your organization should be implementing a product-led growth strategy today, and why customer success should lead it. Download this eBook to learn more!

Amplitude Analytics – Features and Alternatives


Amplitude Analytics is one of the most popular digital analytics tools for SaaS businesses. It offers valuable insights into user behavior to drive growth and enhance your user experience. But is Amplitude the right tool for your company? Setting data range.

Customer Experience Analytics: 5 Steps To Conduct a CX Analysis [Best Tools Included]


Are you making the most out of your customer experience analytics? The data you receive from CX analytics enables you to reduce customer churn, increase customer satisfaction and retention , and help you identify the areas for product improvements. Qualaroo’s dashboard.

10 Best Data Visualization Platforms for Product Managers

The Product Coalition

What is Data Visualization? More than just making numbers look pretty, data visualization is the graphical representation of information. Graphs, charts, maps, and tables are powerful communication tools, helping to make data more accessible.

An Honest Review of Pendo Analytics


Many SaaS businesses rate Pendo Analytics among the best in the industry. There's certainly a lot of buzz about their analytics in the onboarding world at the moment. The question is: do the analytics features offered by Pendo live up to the hype? The value of dummy data.

4 Approaches to Data Analytics

As the analytics landscape continues to evolve, application teams who need to embed dashboards, reports, and other analytics capabilities in their applications can choose from dozens of solutions. How do you differentiate one solution from the next?

Product analytics for designers


When asked if they use or are comfortable with product analytics, most designers I know look away like a dog caught eating a whole jar of peanut butter while their owner was out. Analytics. Allow me to explain… The practical use of product analytics (in design and beyond).

Birst Smart Analytics: Using AI to Operationalize BI

Birst BI

How do you deliver more insights out to more people? Operationalizing BI and analytics – that is, putting the power of data in the hands of everyone across the enterprise, not just analysts and data scientists – has always been the mantra for Birst co-founder Brad Peters. That means much of the organization depends on a few experts to leverage data to make decisions. And data scientists may represent less than 1% of users in an organization.

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How Data Lifecycle Management Applies to Product Analytics


Many organizations collect data, but not all effectively manage it throughout its lifecycle. And ad hoc data lifecycle management can cause problems for your product analytics. Well-organized data is essential for discovering actionable insights from product analytics.

How we implemented data and analytics for product-led growth


We’ve found that while there’s a lot of great content on how a PLG strategy works conceptually, there’s very little in the way of concrete examples or best practices for how data and analytics teams should implement it. Data infrastructure for PLG. Transactional data.

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Insiders' Guide to Self-Service Analytics

Self-service analytics are vital for how your users interact and engage with your application. As you explore analytics solutions for your application, see why self-service analytics can prove critical to the adoption and stickiness of your application.

Ask an Expert: Instamojo’s Head of Analytics on data stack philosophy


As the Head of Analytics at Instamojo , an e-commerce enabler that provides e-commerce solutions to over 1.5 million micro- to medium-sized businesses in India, Ankur Sharma is in charge of all things datadata engineering, strategy, and core data analytics.

How product analytics helps companies navigate uncertain times


Sharing our product-analytics dashboard for tracking business health. Making the necessary tradeoffs is really difficult and that’s where product analytics can become indispensable. An example of a early warning dashboard with sample data.

What Is User Analytics And How To Use It To Improve SaaS Metrics?


What is user analytics, and how can it help you drive product growth ? User analytics provides actionable insights into user behavior. With smart strategies and the right user analytics tools, you can leverage user analytics to improve SaaS metrics and unlock growth.

A practical guide to better dashboard design


A digital dashboard is a place where someone can view lots of data at once. If it’s done well, it helps users glean quick insights and informs data-based decisions. How to create a dashboard your users will love. Dashboards shouldn’t show everything at once.

Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Who builds products for the product people?

How I went from struggling with math to becoming a data and analytics advocate


Well, today I lead the Mixpanel Community , a place full of stat-powered technical people discussing and learning about data tools. How did I go from someone who ran from anything math-related to a professional advocate for data-led business practices?