This document explains how we designed a data-driven customer engagement score that allows our Customer Success Team to prioritise customers, delivering personalised support, and taking proactive measures to prevent churn and identify upsell opportunities.

The framework we designed is replicable for any SaaS with a B2B Product.

We strongly believed none of these options provides an objective measure of customer satisfaction that makes sense for a SaaS Business with a B2B Product.

The only thing about this process I wish we had done differenlty is find an executive sponsor earlier.

Manuel Cellier

Tangi Gouez

When we discovered NPS wasn’t a good enough measure, we created a customized, data-driven framework to help us monitor and understand how satisfied and engaged our Dashlane customers are throughout their entire journey. The framework we designed is replicable for any SaaS with a B2B Product.

Measuring B2B Customer Satisfaction: How Dashlane Leverages a Unique, Data-Driven Approach

Co-written by Tangi Gouez, Dashlane Product Data Analyst, and Manuel Cellier

At Dashlane, we believe each of us should feel connected to the end user, regardless of our roles and level of daily customer interaction. To ensure this, one of Dashlane’s core objectives is customer satisfaction. Due to our French roots, we call this “

There are many ways in which we live and breathe this objective, and some of us on the Product Analytics team wanted to share a recent example.

You can’t improve what you can’t measure. That’s why in 2022, the Product Analytics team wanted a better way to measure Amour du Client. We wanted a data-driven framework to help us monitor and understand how satisfied and engaged our customers are from the moment they first become aware of Dashlane to the moment they renew or upgrade.

After much discussion, we decided that measuring Amour du Client must:

Methods we considered for measuring customer satisfaction

We started this project by evaluating several metrics often used to measure customer satisfaction:

: NPS consists of a single survey question: what is the likelihood that you’d recommend a specific company, product, or service to a friend or colleague? However, NPS doesn’t 

 or customer satisfaction. It doesn’t ask if you’d be interested in buying the same product yourself or if you’re happy with your purchase.

: This score measures how much effort it takes customers to use the product. Although CES is more actionable than NPS, it doesn’t provide information about the customer's overall relationship with a product.

 This survey asks, “How would you feel if you could no longer use the product?” and measures the percentage who answer “very disappointed.” Although it is an interesting approach to evaluate if a product fits the market, it doesn’t measure customer satisfaction very well.

After careful review, we strongly believed none of these options provided an objective measure of customer satisfaction that made sense for Dashlane, so we decided to build our own.


The first step was to meet and align with key stakeholders at Dashlane on a common definition of Amour du Client. We started by mapping the actions we thought satisfied consumers would take, then grouped those actions by common themes.

We scored each factor based on their expected demonstration of Amour du Client, with 0 being "not at all important" and 10 "extremely important." Then, we organized meetings with Dashlaners who had customer satisfaction expertise and regular conversations with customers: The Product, Sales, Customer Success, and Customer Support teams. They quickly helped us realize we had forgotten a critical aspect: we 

defined satisfaction for individual employees, not business teams

Thus, we built a second version focused on measuring Amour du Client at the team level.

We wanted to use product usage data in our amour du client measurement because it is tailored to the Dashlane customer, can be gathered and measured frequently, and can provide actionable insights. Other, more qualitative satisfaction factors besides product usage data could only be measured through surveys, leading to less frequent measurement and no real-time feedback on customer satisfaction.

Our leadership challenged us on product usage data, though. They said employees could be using the product because they are forced to while not loving it. For example, for years, Dashlane employees were daily users of Microsoft Outlook out of necessity before we suddenly migrated to GSuite. For Microsoft, it would have been very difficult to detect that we would churn based solely on product usage data.

Ultimately, our leadership agreed that measuring Amour du Client with product usage data was a better alternative to existing measures of customer satisfaction. However, they asked that our measurement be flexible enough to include qualitative factors (like NPS, CES, and other types of survey results) to overcome possible forced-usage bias, and so we did.

Measuring engagement for business customers

To capture Amour du Client with a team engagement metric, we ran a data analysis to identify the product usage behaviors driving customer retention. We interviewed key company stakeholders with customer experience expertise on what factors drive customer satisfaction most strongly. Based on our research, we developed 3 indicators that enabled us to measure a team’s engagement at any stage of their time with Dashlane:

 Measures employees’ engagement based on their activity and usage of core Dashlane features. It is a combination of 4 core product behaviors weighted according to their relative importance on user retention.

 Measures admin engagement through key behaviors connected to employees’ product adoption rates. These behaviors should increase the likelihood of employees properly onboarding and using Dashlane. It is a combination of core Admin product behaviors that are weighted according to their correlation with a successful deployment.

 Percentage of employees invited to join Dashlane who ultimately created their account. We use the account creation rate as the weight for each score component because it helps with focusing on which one is critical for customer retention. For example, a company buying seats not used by any employees will end up churning, and the admin is the only one who manages that. Thus, it makes sense to make the engagement score reflect the admin engagement until a critical share of seats has reached employees. We adjust ACR based on company size because very large companies don’t have the same ease in adopting the product.

Using this information, we developed a formula for a Team Engagement Score. It’s a function of the employees’ and the admin’s engagement, weighted with the account creation rate.

Team Engagement Score = ACR * Employees Score + (1-ACR)*Admin Score

As displayed above, our scoring function is suited to measure a customer’s engagement at any point in its lifecycle, even late in the journey when buying new seats. In that case, the admin should ensure the newly bought seats are effectively used. By design, the weight of the admin score will increase at this moment, putting more emphasis on its engagement.

Providing data-driven insights to the Customer Success team

We took this Amour du Client measurement method to the Customer Success team, providing a dashboard and automated reports that mixed qualitative insights from the Customer Success team with quantitative insights from the dashboard. This would help each Customer Success manager better understand their business customers’ engagement and satisfaction with Dashlane.

The dashboard and automated reports enable:

Customer Success managers to more quickly identify and better support both engaged and unengaged customers. It’s a tool they use to prepare their conversations with the team admins who have the decision power to renew or churn their Dashlane subscriptions.

The Product Analytics team to compare and rank the engagement of business customers with a similar number of employees and Dashlane users.

The Product Analytics team to provide data-driven insights on customer engagement and satisfaction.

The company to identify Success Stories, understand them, and replicate what has worked well for all customers.

Tips for implementing your own data-driven customer satisfaction metric

We’ve used the Team Engagement Score to measure Amour du Client for almost six months now, and it’s been incredibly successful. We have a clearer understanding on how happy our business customers are and who needs our support. And, we’re further aligned with Dashlane’s core objective of Amour du Client.

If you’re part of a Product Analytics or Customer Success team, you might be interested in this approach. Before you start implementing something similar at your company, here are our tips:

Find an executive sponsor to get time and resources for the project.

Get at least one executive sponsor on board. Dashlane’s Product Analytics Manager, Chief Product Officer, and Chief Executive Officer were fully on board with this project. They asked us to deliver the first version of the metric one quarter after we proactively started this project, as well as provide a baseline that we could share with the company. This made it easy to prioritize the project over others and carve out time to work on it.

Work with your executive sponsor to share your end results. Once we had a clear Amour du Client score for all our customers, our CEO added a new time slot to each of our weekly town hall meetings. During this time, Dashlane’s Customer Success Manager talked about two customers, the Customer Success team’s direct relationship with them, what insights they’ve gleaned, and how engaged they are using the Team Engagement Score. This reinforced what was most important to customer satisfaction.

Involve stakeholders from multiple departments in defining the metric.

Don’t dive too early into the technical phase of the project. Start by spending time on the definition of customer satisfaction and challenge it with multiple stakeholders on other teams.

Regularly talk with other teams to make sure your measurement is personalized. For example, we discussed with the Customer Success team what features and behaviors they’d like to see as part of the score. This also helps with getting buy-in.

Involve every Product Analyst in the review of the code and methodology so they understand the metric and can talk about it effectively with external stakeholders. This will also play a role in overall adoption.

Compare your measurement with established baselines and standards your stakeholders have for customers.

Ask your Customer Success team to provide a list of customers and their perceived engagement (very engaged, engaged, somewhat engaged, not engaged).

Validate your Team Engagement Scores against the perceived engagement for those same customers.

Determine if your score is strong and discerning enough to identify each engagement level. This should follow a normal distribution.

Invest in your communication strategy to accelerate adoption.

Don’t wait until you have the final metric before communicating what you are doing throughout your company. Find opportunities to present your progress and use that as motivation to keep up your momentum.

Provide biweekly updates to people interested in the project through a collaborative platform such as a Slack channel.

Build content to educate the company about the metric.

Create content you can reuse multiple times to present the metric: a playbook, a video, and a clean knowledge management space (Confluence, Notion, etc.), for example. Include documentation about everything you built.

Maintain continuous support of the metric with a dedicated collaboration channel (e.g. Slack) for feedback and set up office hours if asked by stakeholders.

Developing this customized, data-driven customer satisfaction measurement has enabled us to identify key ways to better serve our customers and demonstrate Amour du Client. We’re always tracking and improving customer satisfaction so we can make security simple for people and businesses.

Measuring B2B Customer Satisfaction at Dashlane

Measuring B2B Customer Satisfaction: How Dashlane Leverages a Unique, Data-Driven Approach

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