Remember the “good old days” when software came on a disk, and waiting for dial-up was exciting?
Ah, simpler times.
Back then, post-sale activities were managed by Account Management, “renewals” were new versions of the software, and buying roles were much simpler and easier to understand:
But as software transitioned to the cloud and as product-led growth became en vogue, these definitions fell short. They failed to capture new factors in buying processes like levels of authority, influence in decision making, and product usage.
What emerged were 3 new roles:
These new names captured factors in modern buying processes, but for those of us that didn’t grow our careers through Account Management, they made it harder to understand what each role means.
This piece is written to re-capture some of the simplicity of earlier models, and to provide a framework for determining the right amount of relationship coverage for each segment in your business. Here are three things you can do today to start building stronger relationships with customers.
To get a better understanding of what these terms mean, it’s helpful to compare them to each other. The graphic below helps visualize how the Champion, Buyer, and Power User roles are different by looking at their Influence or Authority, and their Product Importance.
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Influence defined (x-axis)
Influence is the weight of a person’s opinion in the mind of the decision maker. Influence often comes from a small number of high ranking people, or a large number of low ranking people.
Authority defined
Authority is the power to make final decisions without approval from someone else.
Product Importance defined (y-axis)
This measures how critical the product is to accomplish the user’s job. If the product is of low importance, the user can replace or work around the product. If the product is of high importance, the user requires the product to perform their core job.
This quadrant does not include...:
We don’t use common attributes like Advocacy, Budget, and Volume of Usage as factors for this quadrant because they don’t help determine the difference between user types.
Next we must determine which contacts are most engaged with us and focus on those relationships. For example, Champions who respond to emails regularly, ask questions, and make feature requests are more engaged (and valuable!) than Champions who frequently ghost you.
Many Success teams start by visualizing their engagement model in a single slide, and defining when they expect CSM and Customer engagement to increase or decrease.
Shout out to Ziv Peled for the graphic and inspiration on this topic.
The highest performing Success teams then develop a scoring model to determine which relationships are the most influential. One of the best ways to score relationship strength comes from Jay Nathan and Jeff Breunsbach of Customer Imperative. Here’s the scorecard they use:
Now that we’ve defined 1) relationship roles and 2) relationship depth, we can move onto the final step of determining how many of each relationship we need to reduce churn risk.
When we spoke to companies about their champion coverage strategy, we heard consistent problem trends:
Here, we’ll review a model for relationship coverage that addresses these problems and will enable any company to adopt a coverage plan that will significantly reduce churn risk. Here’s how to read the model below:
Then in each of the 9 cross-sections, we show how many buyers, champions, and power users you need to reduce customer churn risk. As you'll see, buyers are further broken out into three types:
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If a company-wide product (Slack, Gmail, Zoom, Box) is trying to sell into SMBs, they’ll likely focus on a large number of influential Power Users to reduce churn risk. But if a Workgroup product (Tableau, UserTesting, Qualtrics, Google Analytics) is trying to sell into the Enterprise, they’ll instead develop strong champions in other departments who are consumers of the Workgroup’s output.
A framework for building the right relationships within each account helps CSMs in their daily work, and it can help Directors and VPs of Success detect when certain accounts are at risk from not having the right amount of relationships with power users, champions, and buyers.
Here’s a quick summary on how to create a relationship coverage framework:
Thanks to Ziv Peled, Kristina Valkanoff, Jeff Breunsbach, Jay Nathan, Emilia D'Anzica, Kristi Faltorusso, and David Ginsburg for your feedback and contributions to this piece.