article thumbnail

10 Ways Customer Data & Machine Learning Can Enhance Customer Experience

Userpilot

Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. This one-two combo is a great way to help enhance customer experience , one of the most impactful methods of increasing product growth.

article thumbnail

User Experience Optimization Guide For SaaS: Steps and Techniques

Userpilot

As today’s user increasingly desires swift solutions when using digital products, user experience optimization can spell the difference between the success and failure of a product. To retain users, continuous improvement of your UX optimization efforts is critical. Measure your UX optimization efforts.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

User Experience Analytics in SaaS: Tools, Data Collection & More

Userpilot

User experience analytics is one of the secret ingredients for boosting SaaS growth. By regularly checking your analytics data, you will proactively spot issues and find ways to resolve them. This ensures your product remains enjoyable for users, boosting retention and loyalty. across the customer journey.

article thumbnail

Customer Effort Score Survey Template: Types and Examples

Userpilot

Looking for a customer effort score survey template to collect insightful feedback ? Additionally, we will walk you through the process of creating a survey and analyzing the data from A-to-Z. TL;DR CES measures the perceived effort customers exert when interacting with your product or teams. We got you covered!

article thumbnail

Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

article thumbnail

How to Use Data Analytics to Improve Customer Experience

Userpilot

Do you want to learn how to use data analytics to improve customer experience? Many SaaS founders agree that customer insights are a key driver of product growth. After all, analyzing customer data can help you identify areas to improve upon and anticipate customer behaviors.

article thumbnail

How to Leverage Funnel Analytics to Streamline Product and Marketing Efforts

Userpilot

TL;DR Funnel analytics describes the process of analyzing how customers progress from one stage of the journey to another. Marketing teams can use funnel analysis to find friction points in the customer journey that stop users from signing up for the product, activating , and becoming paid customers.

article thumbnail

Build Delightful Products with Customer Validation

Speaker: John Little, Head of Product Marketing, Centercode

When it comes to delivering a solid product/market fit, customer validation is key. After all, you want to provide customers with a product that not only fills the need, but is delightful -- right? To get there, you need to commit to a vital blend of market research, strategy, and user testing.

article thumbnail

How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. To make things tougher, they needed something flexible, scalable and capable of serving different user types.

article thumbnail

The Modern Customer Success Playbook

The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity. Develop an effective customer health scoring model to mitigate churn and identify opportunities across your customer base.

article thumbnail

How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. He will use the example of a product manager of a learning management software system and how she would go through the process of defining reporting for users of the product.

article thumbnail

A Win/Win for Your Product - Embedding Analytics for Product Success

Speaker: Stewart Rogers, VP Products, Lambda Solutions

Your product is drowning in data. Your innovative, early adopter type Customers want not only access to it all, but the reporting and analytics capabilities to analyze it all. The rest of your Customers crave better reporting. Your Customers are online with your Customer Success team and considering alternatives.

article thumbnail

The Complete Predictive Analytics Lifecycle for Application Teams

Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics

Applications with predictive analytics are able to deliver massive value to end users. Find out how a real-world application decided what predictive questions to ask, sourced the right data, organized resources, built models, deployed predictive analytics in production, and monitored model performance over time.

article thumbnail

The Definitive Guide to Dashboard Design

Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.

article thumbnail

Product Analytics, Prioritization, and Decision-Making - What We Can Learn from Einstein and Drucker

Speaker: Nils Davis, Principal, NPD Associates

Even when faced with many seemingly great requests, there is only so much time to develop what’s necessary. What makes matters more complex is that users doesn’t always know what they want or need (as Nils says “You can’t trust what users say”). How to make good decisions if you don’t have data. And much more!