Imagine that you work as a customer service operator for a telecommunications company. All day you receive phone calls or chat messages from customers, and you help them with all sorts of inquiries.
They might call about a last bill check, bad network coverage, or to request a plan upgrade. Since situations vary, you’ve learned to tailor your response to fit each situation. You don’t address every inquiry with the same answer or approach.
Now, let’s say that the company’s marketing department suddenly decides to “increase both customer satisfaction AND profit” by introducing a killer-offer: an ALL-FLAT (unlimited voice, SMS, and data) plan with a 2-year contract—all for the price of a medium plan.
To make the business case work, you’re told ALL customers must be approached with the offer. All inbound and outbound communication must end with this “killer offer”.
The scenario described above doesn’t make sense in every context, does it? For instance, upselling an angry customer who barely uses the service could kill the contract. In this case, it could mean lower revenue and higher cost for the company.
The so-called “killer offer” didn’t take context and timing into consideration. The when and how it was delivered needs a lot of improvement.
The truly “killer offer” shows up in the right context, that is, the customer’s context. Offers sell best when they keep context in mind—and are then delivered on the right channel.
Every customer is unique! Does this mean each one must be treated differently all the time? Certainly not! The key is to treat each customer appropriately in any given context. Customers may be grouped to receive certain types of actions and offers according to their circumstances.
Defining these groups includes understanding their shared needs and expectations. This gives you answers to key customer-centric questions.
People are driven by big events and moments. Customer lifespan is also driven by important events, such as:
Each event places the customer within a context which helps determine the Next Best Action. It’s crucial to identify key events and capture opportunities. You can even predict events sometimes.
To understand customer context, there are several approaches.
Customer segmentation by lifecycle and usage patterns can be used by telcos to define what to do next and when. Accurately reading the context of the event makes a huge difference.
For example, a customer who barely uses their service with a contract ending in two weeks should be treated differently from a customer who has reached the midpoint of a plan that perfectly fits their needs. One might get a simple plan renewal offer. The other might be encouraged to purchase another plan for someone else in their household.
By adding in segmentation according to device age and type, you can package an offer that will make them scream, “Shut up and take my money!”
Nobody likes to be labelled, however, similar people may share similar qualities, hobbies, needs, and expectations. Moreover, we as customers sometimes label ourselves to ground our expectations, for example:
What does all this say? There‘s plenty here to keep the marketing department and client base managers busy for the next 3 months!
Basically, customer information can be leveraged using the following types of segmentation:
1. Lifecycle. Every relationship has its own lifecycle, and each lifecycle phase has its own challenges and opportunities.
2. Consumption. Do you have what they need? This can be determined by checking how much of what they buy is used.
3. Churn. What is the chance of customer leaving you? “Low“? “Medium“? Or maybe even “High“? Here it‘s useful to adopt using propensity modelling to score customers on their likelihood to churn and stay one step ahead (see Approach 3 below).
Another approach is to watch customer behavior. A good shopkeeper watches store visitors. If a customer spends time looking at a product on the shelf, the shopkeeper might say, “Ah! I see you interested in one of our best products. Would you like to take a closer look?”
The telecom can do the same thing by detecting what customers do online and then proactively address the situation. For example, a customer might:
For each situation, different actions can be deployed automatically to secure a deal, upsell, or retain the customer.
How cool would it be to accurately predict the future? Maybe it‘s impossible, but what if you knew that some things can be foreseen with a high level of accuracy?
“Propensity modelling” enables you to be prepared for an upcoming event, and also improves the management of your (almost always) limited resources.
Here are two propensity models which you, as customer base manager, should consider:
Machine learning models can target customers based on their historical behavior patterns. These models can then determine the likelihood of customer behavior, such as stopping service use or purchasing a product.
By using the vast amount of customer data you already have, you can know why you need to contact a specific customer, with a specific offer, via a specific channel, and at a specific moment. These models are very precise, and they’re built with a high chance of success.
Once you establish context and strategy, you need to select tactics. Would you rather send infantry to hand-deliver a leaflet to every door of the city or drop thousands of leaflets from the air?
Channels are the tactics you choose to get the job done. Imagine that your operators are your infantry. Meanwhile, your IT air force can send thousands of emails or messages.
Still, not all channels work in every circumstance. If you present a “killer-offer” on a self-service app under a section named “personalized offer”, in a week you’ll be asking, “Why isn’t this selling?”. So, pick the right channel to match the context.
For most telecoms, the 5 TOP channels are:
All of these tactics can be brought together into a powerful omnichannel. It’s your superweapon, Mega robot, Iron Man marketing tool. And if one object could be selected as a symbol of modern times, it would be the smartphones.
Want to call, send an email, SMS, or push notifications? Want to get instant feedback or stimulate an action? It all happens on mobile.
In the morning, during lunch, at night, or after a big event – can you effectively read each context to engage customers on their terms?
Do you want to cross-sell or to retain the customer? A customer-centric approach gives you the best answers. The right offer, at the right time, on the right channel, will produce superior results.
Also, common sense isn’t always so common, and “best practices” are just a starting point. Use A/B testing to identify the optimal scenario and improve continuously. Then implement a truly personalized approach to providing the Next Best Offer.
Petras Šeika is an experienced Project Manager currently driving global initiatives for our international telco client. Petras’ deep knowledge of customer base management in the telco industry provides invaluable insights for Exacaster’s customer management and product development.