Eric Spring: Measuring What Matters — Agency Satisfaction and the NPS Framework (Part 1)

By Craig Pretzinger & Jason Feltman6 min read

Hosts of The Insurance Dudes Podcast — 1,000+ episodes helping insurance agents build elite agencies

Eric Spring: Measuring What Matters — Agency Satisfaction and the NPS Framework (Part 1)

You probably think you know how your clients feel about your agency. You get positive feedback at renewal time, clients thank your team after claims, you rarely hear complaints. That feels like a satisfied book of business. But there's a difference between not hearing complaints and actively knowing that your clients would recommend you to someone they care about, and that difference is the gap between an agency that is retained and an agency that is grown.

Eric Spring has spent years helping insurance agencies measure and act on client satisfaction in ways that produce both retention and referral growth. His anchor metric is the Net Promoter Score, and Part 1 of this conversation makes the case for why it matters and how to implement it.

What NPS Actually Measures

The Net Promoter Score is built around a single question: on a scale of 0–10, how likely are you to recommend this agency to a friend or family member? Respondents who answer 9 or 10 are Promoters, actively likely to refer. Those who answer 7 or 8 are Passives, satisfied but not enthusiastic. Those who answer 0 through 6 are Detractors, at risk of both leaving and actively sharing negative experiences.

NPS is calculated by subtracting the percentage of Detractors from the percentage of Promoters. Scores range from -100 to +100. A positive score means you have more Promoters than Detractors. A score above 50 is excellent by any industry standard.

The reason NPS became the dominant satisfaction metric in many industries is its simplicity and its predictive validity. It asks a single question that has proven to be more predictive of client behavior, both retention and referral, than longer satisfaction surveys with multiple dimensions. The follow-up question that makes it actionable: "What's the most important reason for your score?" This open-ended response is where you learn what's actually driving client sentiment.

Why Insurance Agencies Need to Measure This

The insurance business has a retention problem disguised as loyalty. Most clients stay with their current agency not because they're particularly satisfied but because switching is inconvenient and they haven't been given a compelling reason to leave. That's not loyalty, it's inertia. Inertia is fragile: a hard market rate increase, a competitor offer, a single bad service interaction, and the "loyal" client is gone.

The agencies with genuinely high NPS scores have something more durable than inertia: actual advocacy. These are the clients who send you their family members when they buy a new home, who mention your agency when someone at a dinner party complains about their insurance costs, who leave reviews because they genuinely want to help you. The difference in economic value between a Passive client and a Promoter client, over a multi-year relationship, is substantial.

Measuring NPS gives you the information you need to know which clients are which, and, more importantly, to understand what's creating Detractors so you can fix the underlying cause.

The Implementation Framework

Implementing NPS in an insurance agency doesn't require enterprise software or a dedicated customer success team. The practical framework:

When to survey. The moments that are most informative are: after a new client onboarding is complete (30–60 days in), after a renewal, after a claims interaction, and on an annual basis with clients who haven't had any of the above touchpoints. These moments bracket the key experiences that drive satisfaction, so the feedback is contextually relevant.

How to survey. A short, simple survey delivered by email or text, the NPS question plus the open-ended follow-up, is sufficient. Response rates are meaningfully higher when the survey is sent by a person rather than a generic system address, even if the survey itself is automated.

What to do with negative scores. Detractors should receive a personal follow-up from the owner or a senior team member within 48 hours. Not a form email, an actual call or personal message that acknowledges their experience and asks what can be done to address it. Many of the Detractors who receive this kind of attention end up becoming Passives or even Promoters, because the response demonstrates exactly the attentiveness they felt was missing.

What to do with positive scores. Promoters should receive a thank-you and, at an appropriate moment, an invitation to share their experience, a referral ask, a review request, or both. These clients have already told you they'd recommend you; make it easy for them to do so.

Making NPS a Team Metric

The power of NPS multiplies when it becomes a shared team metric rather than the owner's private data point. When the whole team can see the agency's NPS trending over time, satisfaction becomes a collective accountability. Team members start to connect their individual service behaviors to the aggregate outcome in a way that's harder to maintain when satisfaction is measured vaguely.

Regular sharing of NPS data, positive feedback read aloud in team meetings, patterns from follow-up responses discussed openly, builds a service culture where client experience is visible and valued.

What This Means for Your Agency

If you're not currently measuring client satisfaction systematically, start with a simple NPS survey to your existing book within the next 30 days. The first survey will be imperfect. Do it anyway. The baseline data, however rough, is more valuable than the void of information you currently have.

The Bottom Line

You can't improve what you don't measure. Client satisfaction in most insurance agencies is unmeasured, which means the early warning signals for retention risk and the opportunities for referral growth are invisible. NPS is a simple, proven tool for making those signals visible. Part 2 goes into what to do with the data once you have it consistently.


Catch the full conversation:

This is Part 1 of a 2-part conversation with Eric Spring.

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