Amplitude Made Easy simplifies digital analytics for all teams, helping leverage data-driven insights to enhance product development, marketing, and CX.
We’ve heard time and time again that deploying digital analytics is painful, especially for analytics newbies. Starting from scratch, asking the right questions, and tracking the right metrics require too much heavy lifting for the average user and is expensive and time-consuming. However, digital analytics is too powerful to be used only by companies with the resources to dedicate. This belief was the underlying reason behind the new Amplitude Made Easy platform experience. We are making digital analytics way simpler.
Successful companies give their customers what they want, and the only way to know what that is is through learning and iteration cycles. Here’s how to be like them.
Make customer feedback the driving force behind all product decisions
It’s easy—especially in the era of AI and rapid technological change—to get sucked into the idea that your product team has to build each new feature idea that comes along. But before rolling out a new product or feature, ask, “What customer problem am I solving here?” If something is shiny and new but doesn’t address a specific pain point, it may not need to be part of your product.
The easiest way to determine how to solve customers’ problems is to ask them. When we were developing Amplitude Made Easy, we did early testing and demos with our largest enterprise customers to ensure we were on the right track, and a few moments stood out. After one walkthrough with a large e-commerce customer with over 1,000 users on Amplitude, they immediately followed up, asking, “When can we turn this on for our entire account?” We demoed our new feature engagement matrix during another meeting with a large sports media company.
When I finished, the executives in the room began debating which features to consider sunsetting due to the new insights. Another large B2B company began discussing how our new Autocapture capabilities could enable them to roll out Amplitude to a dozen more teams. These anecdotes gave us confidence that we could expand the value of self-serve analytics across the enterprise.
Also Read: How AI and Data Analytics Are Transforming Customer Experience
You can also use tools like session replay to collect qualitative data at scale. As we incrementally rolled out new Amplitude Made Easy features, our teams held session replay watch parties together, meaning we could watch how our customers used the Amplitude platform. This helped us understand where our customers were finding success and where they were struggling so we could make adjustments. The collaborative and iterative process we took across teams was energizing. In our first few days of releasing to customers, we addressed dozens of improvements and kept our opt-out rate below 3%, well below the industry’s best practice.
Don’t just let data sit in storage—use it to generate meaningful insights
It’s a story we’ve heard repeatedly: You know that collecting data is important, and you invest in data management and storage tools to keep all of this data safe and organized. But then what? Data that hasn’t been translated into insights is, quite frankly, useless. The problem is that most teams aren’t comfortable working with data. And even if they have an analytics tool to help, they don’t know where to start. This, again, is a key problem Amplitude wants to solve. Using our AI-powered conversational chat interface, Ask Amplitude, teams can ask questions in plain English and get real-time answers, data visualizations, and recommendations for the next steps. This means data goes from complex 1s and 0s in your data warehouse to a written recommendation of the next step you should take, instantly informed by the context surrounding your product and customers.
If you’ve invested in collecting customer data, don’t stop there. Teams who use data to generate insights that inform product decisions are completing the full loop of successful product building. Julia Enthoven, Co-founder and CEO of Kapwing summed it up nicely in an AMA. She defines how to use the data that users give you to make your product better and smarter and give it a differentiated value.
Align product and marketing teams for impactful product iteration and improvement
Most companies understand the value of having the product and marketing teams weigh in on product decisions, but we’re seeing them converge and collaborate more closely. Building, deploying, and scaling a successful digital product depends on both teams being aligned. They should track shared metrics, use shared tools, and work toward shared goals. But these teams have existed in silos for so long, and many marketers and product managers don’t know how to overcome this status quo.
I’m constantly asked what metrics and questions product and marketing teams should track and how to build them. It’s one of the main challenges we were excited to solve with the launch of Amplitude Made Easy. With new out-of-the-box marketing and product analytics, these teams can access insights without building anything. That means they can instantly understand the metrics that matter most to their team – a marketer can see campaign performance and conversion. At the same time, a product manager can check retention rates and feature engagement, all in the same tool.
Also Read: Mastering LTV: Data Analytics and Attribution
Amplitude’s bread and butter is helping companies build better products with digital analytics. But not all companies recognize analytics’ strategic business value. We’re eager to continue solving the challenge of convincing those who may already be resource-strapped to invest in analytics, use their data to its full potential, and collaborate more cross-functionally.
