How to Make Smart Decisions Based on Customer Journey Data

4 min read
Curated from customerthink.com →

Moderncustomer journeydata offers insights that old-school mapping could only dream of. A platform that integrates all of your channels and provides figures for every touchpoint is invaluable when it comes to getting to know your customers. It also provides a sound basis upon which to base your marketing strategy as a whole.

However, the sheer amount of data we can have at our disposal these days can be overwhelming. Many businesses get lost in the swirl of statistics and fail to use them effectively. Of course, the data your business can collect is only useful if well thought-out strategies emerge from it. Here’s how to make smart decisions based on your stats and really get the most from your customer journey data.

Modern day consumers expect choice and rarely use just a single shopping or communication channel. A customer may utilize voice call, email, and social media as part of the same inquiry. Or they may browse for a product online before buying in-store. Before you think about tracking data, make sure you’ve got as many channels covered as your customers desire. You canoptimize the customer journeyitself through the use of chatbots and other digital devices.

One of the first parts of any marketing strategy is to put customer personas together. Getting to know your customers gives a business more focus when it comes to looking at product range, customer service, and communication methods.Care more about the customer than the sale, and you’ve more chance of securing the latter.

For a business that’s just getting started, you’re unlikely to have much accurate data available when putting together your personas. They’ll partly be based on an educated guess, or you may be able to take some info from competitor research. But accumulating customer journey data can help you revise your personas with real accuracy.

You’ll be able to discover exactly how customers shop, how they contact your service department, and how they navigate your website. This information can be used to improve your business as a whole. The model of companies offering a service and customers having to comply is old hat in 2021. These days, the whole process should be customer led. If you don’t offer what a customer is looking for, yoursales engagementwill suffer as they’ll simply look elsewhere.

Your data can be used to make the customer experience as personal as possible, meaning there’s more chance that they’ll convert to your cause and remain loyal in future. Consider the compilation of data to be in the same category as any of your othercustomer support solutions.

In the panic to please customers, it’s easy to get bogged down by focusing only on areas where your business is coming up short. Findingstages of the customer journeywhere customers are failing to convert or being left unsatisfied is an important part of analyzing your data for sure. But it’s essential to give equal attention to your successes.

This shouldn’t be done as a back-slapping exercise. Successes are of equal importance to failures when it comes to getting to know your customers. If a certain shopping channel is giving your business big wins, then you might use the data to justify increasing expenditure in that area. And there may be logical patterns that you can find within your successes that can be applied to repairing your failures, too.

When analyzing both failures and successes, always put yourself into the mind of the consumer. Ask yourself whether yourcustomer experience strategyis matching expectations. Can you alter the journey to fall in line with how a consumer expects to be treated? Do you need to upgrade yourenterprise ecommerceplatform so your departments are working more in sync and customer needs can be met?

The data that we can have at our fingertips can be massive. Data analysis of the customer journey needs to be both accurate and constant. If it’s taking you too long to act upon your findings, you may well be implementing changes too late.

Continue Reading

Enjoyed this summary? Read the complete article at the source:

Continue at customerthink.com →

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.