In marketing, a purchase funnel reflects the different stages of customer engagement.
A basic purchase funnel includes:
- Acquisition involves building awareness and acquiring user interest
- Behavior is when users engage with your business
- Conversion is when a user becomes a customer and transacts with your business
In the offline world, this process can be hard to measure. But in the online world, we can measure many different aspects of the funnel using digital analytics.
We can track what online behavior led to purchases and use that data to make informed decisions about how to reach new and existing customers.
Digital analytics in practice.
Think about an online store, such as the Google Merchandise Store. It might have a goal to sell more t-shirts. Using digital analytics, the store could collect and analyze data from their online advertising campaigns to see which ones are most effective and expand those marketing efforts.
For example, the store could analyze geographical sales data to understand if people in certain places buy a lot of shirts and if they do, then the store could run additional advertising campaigns in those areas. They could also use analytics to understand how users progress through their online shopping cart. If they notice that users have trouble with a particular step on their website, they can make changes to the site to resolve the problem.
Different kinds of businesses can benefit from digital analytics:
Publishers can use it to create a loyal, highly engaged audience and to better align on-site advertising with user interests.
Ecommerce businesses can use digital analytics to understand customers’ online purchasing behavior and better market their products and services.
Lead-generation sites can collect user information for sales teams to connect with potential leads.
While we’ve primarily talked about collecting data from a website, Google Analytics can also collect behavioral data from a variety of systems such as mobile applications, online point-of-sales systems, video-game consoles, customer-relationship-management systems, or other internet-connected platforms.
This data is compiled into Analytics reports, which you can use to perform in-depth analysis to better understand your customers and their purchase journey. Then you can test out new solutions to improve your business.