Customer Churn

Lose your executive sponsor, save your customer

By
Joel Passen
September 9, 2021
5 min read
It happens all the time, and you’re often the last to know. Your sponsor, once your economic buyer and advocate, is on the move. Gone. Losing an executive sponsor or senior point of contact is a catalyst for churn. Often “Executive Change” is reported as unavoidable churn. But is it? 

Here’s How It Happens


Ticket that Announces Executive Change


Surviving an executive change is possible - even likely

Surviving an executive change is more realistic if you have a plan. Winging it and leaving a save to chance is not a winning solution. Your plan needs to start well before you receive news that your sponsor has departed. Ideally,  you need to start by understanding your customers’ organizational structure and power chain. You need to understand how decisions get made. Post-sale teams should continually blueprint accounts looking for additional executive-level advocates. Also, risk is mitigated when you leverage your champion to create co-champions that will advocate for you when there is a shake up. A good rule is to create and foster at least three key advocates within each customer account. Ideally, these stakeholders should be cross-functional representing finance, IT, and functional teams. 

Even when you do have a process in place to address loss of sponsor, the news is often blindsiding. More likely than not, executives don’t share their transition plans with anyone outside their org with advance warning. Otherwise, signals of change are often unconsciously ignored due to the sheer volume of communications your team is dealing with. Worse yet, what if requests like our example above land with a teammate that simply responds with a copy of the contract unaware of the gravity of the situation? 

If your heart is racing and your palms are sweaty, you’re not alone. We’ve been there. That is why one of the first language models that we developed and trained when we started Sturdy was executive change. 

Detecting customer Signals 

So how do you detect executive change signals? There are some hacks out there. The easiest to implement is one that leverages LinkedIn Sales Navigator. If you have a paid account, set up “Career Change” alerts in LISN. This will work for smaller companies with 20-50 customers but gets too noisy at any kind of scale. The big constraint is that you can't filter the alert by decision makers only. This would be a good feature for LISN though by the time your DM updates their profile with a new role, the window of opportunity to save the account likely will have closed. 



LISN Hack to Track Executive Change


At Sturdy, we use our own product to detect executive change signals. Sturdy analyzes emails, tickets, chats, and video calls listening for signals of executive change. When it detects language synonymous with the loss of a sponsor, it flags the conversations and alerts our stakeholders immediately. Our alerts are sent to a Slack channel called #executive-change. At our stage, this is quite effective and still manageable. Eventually, we’ll connect Sturdy to our case management tool creating a more sophisticated closed-loop process.  

Below is the same message from the top of this post but this one was run through the Sturdy AI Inference Engine. It’s been accurately flagged with customer signals indicating executive change and a high probability of churn. This message triggered a real time alert to our customer operations team. 


Customer Signal - Executive Change Detected by Sturdy


Reacting to an executive change


We think about signals as lead generation for inquiry and action. And, as with sales leads, acting with urgency yields the best outcomes. Borrowing from our sales / marketing SLA, our requirement is to follow up on executive change signals inside of 1 hour. This makes us seven times more likely to schedule a meeting with the customer in the same week as the signal was received. Having a set timeline, we prevent procrastination and promote action.  

Otherwise, we have a defined play that we run. The play has 3 phases and we train our workmates on this and other plans on an on-going basis. Here is an outline from our post-sales playbook for executive change. 


Example of Sturdy's Customer Operations Playbook

The loss of an executive sponsor is a red-level risk event. Winging it doesn’t save customers. You need a defined process in place to mitigate account churn and solution downgrades. Team members need to investigate the account vitals quickly. Information should be gathered from other client stakeholders. If a new sponsor is in place, a briefing should be scheduled ASAP. Show the new leader what’s in it for them. Clearly emphasize the value your solution delivers. Minimize their risk. Show them the future. Give them an easy win. 


A reminder of why it matters 


The B2B SaaS industry is maturing quickly. Competition is fierce. Category leading post-sale teams focused on customer retention and monetization are building capabilities to significantly contribute to top line growth. For example, A $100M ARR Company with 2000 customers saves 30 customers in Year 1, dropping its churn from 8 to 6.5%. By maintaining this churn rate, its revenue in year 1 will be $1.6m higher. By year 5, $25m, and by year 10 almost $170m higher (50k ACV, 5% upgrade rate, 30% growth rate). Look at these numbers through an investor’s lens where some companies are valued at 25x earnings. Those are some real numbers. Saving a couple dozen customers a year really adds up. 


Reducing Churn Compounds Revenue in Subscription Models


Summary


The loss of an executive sponsor is a red-level risk event but it doesn’t need to be fatal. 

  1. Preventative measures like fostering multiple executive-level relationships to develop cross functional advocates significantly mitigates risks. Go wider. Go cross-functional. Have no less than three key executive contacts at every account. 
  2. Building a process or deploying technology to detect risk is key. Knowing is more than half the battle in this instance. 
  3. Creating a defined process to manage a loss of sponsor event is imperative as is training team members to respond with urgency. 
  4. Creating a culture that reinforces the importance of retention and customer monetization is a key to motivating high performance post-sales teams. 

Similar articles

View all
Customer Churn

The Four Horsemen of Customer Churn

Joel Passen
December 4, 2024
5 min read

Our data scientists have combed through mountains of unstructured customer usage data to crack the code on proactively identifying accounts that are a churn risk. After analyzing thousands of signal combinations, we found that four key indicators—Budget Issues, Unhappiness, Value Issues, and Urgency—are the ultimate predictors of revenue risk.

Nearly every B2B tech and services company sees the same pattern: when these signals align, it’s time for action.

Hold on, what is unstructured usage data? It’s the raw, untamed data that tells you what customers are *really* doing and saying—not just what they’re willing to admit in a survey or conveyed by numbers of daily average logins (also critical but lacking context). Here are the harbingers of risk; when combined, they are what the team needs to act on right now. 🧯

1️⃣ Budget Issue: This signals a customer struggling to justify the cost, possibly due to tighter budgets or a perceived lack of value.

2️⃣ Unhappy: Customer dissatisfaction can stem from unmet expectations, unresolved issues, or lack of engagement.

3️⃣ Value Issue: If a customer doesn’t see the ROI, they’ll start questioning the worth of your service.

4️⃣ Urgent: An urgent flag indicates an immediate problem that requires rapid action. They are expressing a need to engage with a teammate now.

Customer Retention

Improving Revenue Retention in 2025

Joel Passen
November 15, 2024
5 min read

If improving revenue retention is a key priority in FY25, here is some food for thought. If you believe data is the essential foundation for improving retention, imagine the possibilities with 50-100x more data about your customers. Here’s the thing: Every business has this customer data, but 99% of businesses are sleeping on a data set that could change their business. It’s the unstructured data that’s sitting in ticketing systems, CRMs, chat systems, surveys, and the biggest silo by volume - corporate email systems. Most of us still rely on structured data like usage, click rates, and engagement logs to gauge our customers' health. However, structured data provides only a partial view of customer behavior and revenue drivers. Unstructured data—like customer emails, chats, tickets, and calls —holds the most valuable insights that, when leveraged, will significantly improve revenue outcomes.

Why Unstructured Data is Essential for Revenue GrowthImproving Customer Retention: Unstructured data helps businesses identify early warning signs of dissatisfaction, allowing them to create proactive interventions before customers churn. Repeated mentions of poor experiences, response lags, product-related frustration, and more in call transcripts, cases, and emails indicate potential churn risks. By identifying these trends while they are trending, businesses will improve retention.

Fueling Product Innovation: Let’s face it: Our customers bought a product or service. Post-sales teams don’t develop products and are limited in what they can directly impact. Product teams need more unbiased, unfiltered contextual customer data, and they need it consistently. Unstructured data provides real-time feedback on how customers use products and services. Businesses can analyze customer feedback from multiple channels to identify recurring requests and pain points. This data fuels product innovation and informs customer-led roadmaps that lead to higher engagement rates and more profound value. Developing products that directly respond to customer feedback leads to faster adoption, better advocacy, and a competitive advantage.

Identifying Expansion Opportunities: Unstructured data reveals customer needs and preferences that structured data often overlooks. Businesses can uncover untapped expansion opportunities by analyzing email, chats, and case feedback. These insights help identify additional products or services that interest customers, leading to new upsell or cross-sell possibilities. To drive immediate improvements in revenue retention, the key isn't pouring resources into complex churn algorithms, chatbots, or traditional customer success platforms—it's being more creative with the data you're already collecting. Start listening more closely to your customers, identify the patterns in their pain points, and share this knowledge with your peers who can improve your offerings. This is the year to start thinking outside of the box.

Customer Retention

Burton's Broken Zippers

Steve Hazelton
November 15, 2024
5 min read

Last year, I bought a pair of ski pants and the zipper fell out on the first chair lift. I called Burton, and they offered an exchange. New pants, first chair, same problem. Support informed me that I was required to return the pants for repair. The repairs would be completed after ski season. For the inconvenience, Burton offered me a 20% discount on my next purchase of skiwear. The next time I am in the market for skiwear that I can't wear during ski season, I will use that coupon.

I started my first business over 25 years ago. Since that day, I have lived in an almost constant state of fear that somehow, somewhere, things would get so broken that we'd treat a customer like this.

Let's be clear, no one who runs a business wants stuff like this to happen. Yet, it happens all the time.

If you run a software company, your engineering team will have usage tools and server logs to tell you when your product is "down" or running slowly. They can report which features are being used and which ones aren't. You'll learn that certain features in your product cost more to run than others, maybe because of a bad query, code, or something else. And you'll know what needs to be upgraded.

However, every time a customer contacts a business, they are "using" (or "testing") your product. If you sell ski pants, your product is ski pants, and your customer service team. If you sell software, your product is your tech and your customer service.

Yet, your customer-facing teams have very poor usage data, if any at all. Which feature of our service gets used the most (billing, success, support)? What are the common themes? Is one group working more effectively than the others? Does a team need an upgrade? 

(BTW, what costs more, your AWS bill or your payroll?)

The reason your customer-facing teams don't have usage data is because this data is "unstructured," and it is everywhere. Imagine if your engineering team needed to check 50 email inboxes, 1,000 phone recordings, a CRM, and a ticket system to get your product usage statistics. 

That's where your customer-facing teams are today. Until you can get answers from these systems as easily as an engineer can, you’ll continue to churn, annoy customers, and try to hire your way out of a retention problem. It won’t work.

How many customers will you have to lose before you try Sturdy?

Schedule Demo
A blue and gray logo with a black background
A number of different types of labels on a white backgroundA white background with a red line and a white background with a red line andA sign that says executive change and contact request
A white background with a red line and a blue lineA number of different types of logos on a white backgroundA pie chart with the percentage of customer confusion and unhappy
A number of graphs on a white background