What Is Couplr Match?

Co-authored by Derek Notman, CFP® (Founder & CEO, Couplr) and Dr. Meghaan Lurtz, Ph.D. (Chief Behavioral Officer, Couplr). Updated August 10, 2026.

Couplr Match is Couplr’s consumer-to-advisor matching product for enterprise wealth firms, insurance carriers, and financial advisor channels. It operates at the top of the growth funnel, converting consumer-initiated web traffic into behaviorally matched, ready-to-meet advisor introductions.

Consumers arrive on an enterprise partner’s website, think a a wealth firm’s “Find an Advisor” page, an insurance carrier’s broker locator, an alumni association’s professional network and take Couplr’s white-label opt-in matching quiz. Couplr’s 1,300-variable outcome matching engine evaluates each consumer’s behavioral, values, life-stage, communication-fit, and life-event profile against the partner’s advisor roster and produces a small ranked set of matches, each with human-readable match notes explaining the compatibility logic.

The consumer initiates contact. No personally identifying information reaches the advisor before the consumer chooses to reach out. Couplr Match is the growth engine in Couplr’s two-engine architecture, the mechanism that turns anonymous website visitors into durable client relationships without adding cold-lead spend.  We help drive more ROI on your lead generation activities by drastically improving lead conversions.

Consumer-initiated matching as a product category

The way enterprise wealth and insurance firms have historically grown their advisor rosters is by buying attention: paid lead generation, cold outbound, directory listings, ad campaigns that put a firm’s name in front of a stranger. Every one of those motions optimizes for the same metric: volume of contacts.  This is lead generation in a nutshell.

Couplr Match optimizes for a different metric: fit. A prospective client shows up via one of your paid or organic marketing funnels, sometimes ready, sometimes looking for more information.  They arrived on a partner’s site with intent, they self-selected into the matching quiz, they then get matched with the best fit advisors for them at the firm, and then when they are ready they make the first move in contacting the advisor of their choice. The advisor never spent a dollar to acquire them. The firm never had to convince them to raise their hand.

This is a structurally different model than lead generation. Lead generation is a supply-side motion where you push contacts into a pipeline and qualify them out. Couplr Match is a fit-first motion that fits into your existing pipeline and helps increase lead conversions because the model only surfaces matches that clear multiple compatibility thresholds before an advisor is ever contacted.

What happens in a Couplr Match match

A single Couplr Match interaction moves through five stages:

1. Arrival. A consumer lands on the partner firm’s “Find an Advisor” page (or equivalent surface) and clicks into the matching quiz.
2. Signal capture. The consumer answers a short set of behaviorally calibrated questions covering how they think about money, how they prefer to communicate, what life stage they are in, and what they are trying to accomplish. The quiz is designed by Couplr’s behavioral team, led by Dr. Meghaan Lurtz.
3. 1,300-variable matching. Couplr’s engine evaluates the consumer against the partner’s advisor roster on behavioral fit, values alignment, life-stage relevance, communication style match, and life-event context. It does not match on geography alone, or asset minimums as primary criteria.
4. Ranked shortlist with match notes. The consumer is shown a small, ranked set of three advisors each with a plain-English explanation of why the model surfaced that specific advisor for them and lets the consumer learn more about that advisor before initiating contact.
5. Consumer-initiated contact. The consumer chooses whether and when to reach out. The advisor sees the consumer only after the consumer opts in. No PII is exposed pre-contact.

The data stack behind Couplr Match

Couplr Match runs independently. It does not need Couplr IQ to operate. The stack for Couplr Match is:

• The 1,300-variable output matching engine — Couplr’s proprietary behavioral, values, life-stage, communication, and life-event framework, developed under Dr. Meghaan Lurtz’s behavioral direction.
• The consumer’s opt-in quiz responses — the direct behavioral, values, and life-context inputs the consumer shares in the matching quiz.
• Partner-specific advisor roster data — each enterprise partner supplies the advisor profiles, credentials, specialties, and availability that the engine matches against.

Firms and advisors can use Couplr Match on its own to turn consumer traffic into fit-matched advisor introductions. Once a consumer is matched and the relationship begins, some firms choose to add Couplr IQ (Book Intelligence) as a separate product to enrich the new client with additional financial and life-event context that supports ongoing planning. Match brings the client in; IQ, when the firm chooses to use it, helps deepen the relationship over time. Neither product requires the other to deliver value.

The business case for Couplr Match

The problems Couplr Match is built to solve are familiar to any enterprise growth leader in wealth or insurance:

• Rising cost per acquired client. Traditional lead-gen channels get more expensive every quarter and convert to first meeting at low single-digit rates.
• Wasted advisor time. Advisors spend meaningful cycles on prospects who were never going to be a good fit, because the qualification happens after the introduction, not before.
• Attrition inside year one. Poorly matched client relationships fail early, and the acquisition cost is written off before it is recovered.

Couplr Match addresses all three at the same time. Match quality is the leading indicator of relationship durability, so a smaller pool of well-matched introductions produces a higher rate of clients who are still on the book at month twelve. In a documented enterprise pilot, this translated to a 525% improvement in lead-to-client conversion versus the partner’s incumbent lead-gen model.

How Couplr Match fits the two-engine framework

Couplr operates on a two-engine framework. The two engines are independent products that solve different growth problems. Firms can adopt either engine on its own or run both together:

• Couplr Match is the growth engine. Its job is to bring new, well-matched consumers into the roster — new client acquisition, but with fit as the primary criterion instead of volume.
• Couplr IQ (Book Intelligence) is the retention and re-engagement engine. Its job is to enrich an advisor’s existing book with life-event predictions and behavioral signals so that the advisor knows which existing clients are approaching a decision moment and where the held-away assets are that the firm could be managing.

Together they close a gap that has always existed in enterprise wealth and insurance distribution: growth and retention have historically been separate motions, running on separate data, coordinated by separate teams. Couplr’s two-engine framework gives firms two independent tools that address both motions, either separately or in combination. When a firm chooses to run both, a consumer brought in through Couplr Match becomes a first-day client whose profile can then be enriched through Couplr IQ, but neither engine requires the other to deliver value on its own. Read more on the framework at the Two-Engine Framework page and see the category positioning at Precision Growth Intelligence.

Where Couplr Match is used today

Couplr Match is deployed across four enterprise distribution channels:

• Insurance carriers — activating the policyholder file and the agent locator with behaviorally matched consumer-to-agent introductions.
• Independent broker-dealers — supplying warm-inbound matches to advisor networks that need consumer-initiated flow without adding cold outbound.
• PE-backed RIA roll-ups — creating a shared consumer-facing acquisition layer across a distributed advisor footprint.
• Bank wealth management divisions — introducing bank customers to the right advisor at the right moment, before the customer takes their assets elsewhere.
• Individual financial advisors are using it to drive more awareness online and help drive lead conversions in the marketing channels they are already investing in.

The Bottom Line

Couplr Match is what makes consumer-initiated, behaviorally calibrated advisor matching operable at enterprise scale. It is the growth engine of the two-engine framework, the layer that converts the anonymous consumer visitor on a partner’s website into a durable client relationship — without adding cold-lead spend, and with fit measured before contact rather than diagnosed afterward.

The wider shift here is one Couplr’s founder has written about at length: financial advice is inverting from cold, advisor-initiated outbound (buy a list, dial it, qualify the survivors) to warm, consumer-initiated inbound (self-select, get matched, choose to reach out). It is the same structural shift online dating made around 2005, when eHarmony’s behavioral science met a user-initiated model. Couplr Match is what that shift looks like inside enterprise wealth and insurance distribution — always with a human in the middle.

Book a demo to see how Couplr Match fits your firm’s growth motion.

What does a partner say about this in practice?

Jared Trexler, Executive Vice President and Chief Growth Officer at The American College of Financial Services, described the problem this is built to solve in his own words: consumer advisor searches are “based on zip codes or topic area,” and “a lot of advisors say they’re experts, or do all of these different topic areas, regardless of whether they are or not.” His alternative is the medical model — with a heart problem you see a cardiologist, not a generalist. Read the full interview in the American College case study.