An effective customer effort strategy makes your products and services more attractive to buyers by simplifying offers and increasing customer support. Basically, customers who can spend less effort toward the same end are happier customers.
More and more, the markets reward firms who take the time to implement new strategies aimed at reducing customer effort. Not all techniques are the same, and good data analytics is the key to your company’s future success.
It isn’t enough to just produce a product and plop it down on the store shelves. You might sell a few units that way, but if you expect to stay competitive you must support your customers throughout the entire exchange.
From the moment you first make contact until after the product’s life comes to an end, you are there to provide the customer with an exceptional overall experience:
Customer effort is the most important variable and customers consider the amount of time they waste when evaluating their experiences with your company. If disappointed, they may not buy from you again.
Reducing customer effort often comes down to eliminating lost time, but the customer also expects humanized interactions:
To make things more challenging, most customers also expect personalized service. They want to feel a connection with someone who understands what they need without being told the same information repeatedly.
You need useful information to build and coordinate your strategy. Most companies rely on customer feedback metrics to tell them how their service representatives are performing.
CSAT surveys and Net Promoter Scores are proper information tools for sampling specific interactions, but they both have a limited scope over a limited range.
ETECH Insights puts a robust AI to work gathering data and supporting your agents. Software listens in on conversations and makes decisions about which inputs are the most important.
That data identifies customer preferences and compares them to agent behaviors. Analysis of this information highlights patterns and predicts behaviors. This helps management to organize better responses reduce your customer’s effort.
Once armed with better information, your business processes can focus in on the most common points of interest for your customers.
It’s hard to implement these solutions without good data:
Customers typically reward businesses able to keep up with the rapidly changing market. Lowering their effort incentivizes more purchases and leads to higher revenues.
Technology and AI driven data collection help you develop the efficient customer effort strategy that your buyer’s demand. It combines the best information with a human responder to deliver superior results.