What is Revenue Behavioral Intelligence™?

Revenue Behavioral Intelligence™ (RBI) is the discipline of measuring the specific sales behaviors and skills displayed by a salesperson and correlating those behaviors to revenue outcomes. While conversation intelligence tells you what was said on the call or what was discussed over email, behavioral intelligence seeks to understand the specific behaviors that drive closed/won deals, evaluates and weighs them proprietarily, and produces a weighted score that is more predictive of revenue than anything on the market today.

Our hypothesis is simple: by breaking down each step of a sale into the specific behaviors needed to run an effective process, and then evaluating the quality of the behaviors displayed on those calls, reps and their organizations will be able to predict revenue outcomes much more accurately than they can today. They will also know exactly which behaviors and skills are lacking across the organization — and how that skillset gap is impacting closed/won deals.

The results are shocking. Elanor's first client increased their deals won from an average of one a month to closing four deals in the month of June. They've only been using the platform for nine weeks.

The vision of the RBI is to be the universally accepted standard of sales quality. Just like a credit score tells you the health of a person's financial wellbeing, the RBI will tell you the quality and health of your sales team.

Why behavior is the missing measurement

Tech sales is one of the greatest career paths in the world — especially in the age of AI. But there is one major, fundamental issue with the entire industry: the only way we measure the quality of a rep is by looking at their percent to quota.

Anyone who has been in sales roles long enough knows this to be true — revenue closed is a lagging indicator, and not truly useful as it relates to measuring the quality of a salesperson. A brand-new rep can close a massive deal in their first year, often with massive assistance from their manager. Does that mean they are “better” at the job than a tenured rep who is just in a prospecting cycle and has yet to cash in on the deals in their pipe? Obviously not — but since there is no standard to measure sales quality, they are treated as such. That rep, who never truly developed mastery in the skillsets that lead to consistency in sales, often gets promoted to “teach” others, even though they have yet to reach mastery themselves. This cycle happens in almost every sales org in the world.

Activity metrics — calls placed, emails sent, meetings booked — are leading indicators of effort, not of quality. Outcome metrics — win rate, deal size, cycle time — are lagging indicators that arrive too late to coach. The middle layer, where the actual selling happens, has historically been opaque except to whoever happened to listen to the call.

Revenue Behavioral Intelligence™ is the layer that turns that signal into something coachable, evidenced, and benchmarkable. It is the difference between “your rapport felt rushed” (subjective) and “in the last twelve intro calls, you spent an average of only 8 percent of the time on personal-rapport questions versus a peer benchmark of 31 percent” (behavioral).

The Revenue Behavioral Index™: from measurement to benchmark

Once behaviors are measured consistently, they become benchmarkable. The Revenue Behavioral Index™ (RBI) is the benchmark layer — a composite score for an individual rep, a team, or a whole company, decomposable into the underlying skill dimensions.

The RBI Score is to sales execution what the credit score is to credit risk: a single number that hides a multi-factor analysis. Just as a 720 credit score decomposes into payment history, credit utilization, length of history, and credit mix, an 84 RBI Score decomposes into the discovery, listening, value translation, executive presence, and next-step components that produced it.

Like a credit score, the RBI Score is portable. A rep's RBI Score from their last role tells a new employer something about the behaviors the rep brings to the new context — not just the revenue they happened to close in a different territory. And like a credit score, the RBI is normalized, so that a 70 means roughly the same thing across companies, industries, and product types.

The full mathematical methodology behind the RBI Score is a separate piece of intellectual property. What is publicly true is this: the RBI is a composite of behavior-level evaluations, weighted by their statistical correlation with revenue outcomes in similar contexts, normalized to an industry benchmark.

The four-layer narrative

There are four layers of intelligence in a modern revenue stack. Most companies invest heavily in the first three and almost nothing in the fourth — even though the fourth is the layer that explains the other three.

CRM tells you the deal exists. Conversation intelligence tells you the conversation happened. Revenue intelligence tells you the deal is in jeopardy. Revenue Behavioral Intelligence™ tells you why.

The methodological foundation: BARS at AI scale

Revenue Behavioral Intelligence™ is not a new idea — it is an old idea finally made tractable by AI. The academic foundation is the Behaviorally Anchored Rating Scale, introduced by Smith and Kendall in 1963 to address the subjectivity of human performance ratings.

Even more simply put, it is the sales equivalent of an assembly line.

A BARS evaluation works by anchoring each performance level to a concrete, observable behavior. Instead of “rate the rep's discovery from 1 to 5,” a BARS rubric reads: “Asked at least three Implication-style questions tied to a specific business outcome, named the economic decision criteria, and confirmed at least one quantified pain point.” That anchored statement is either observable or not. There is no subjective interpretation gap.

BARS has been the gold standard in human performance research for sixty years. The reason it has not become standard practice in sales is that constructing and applying BARS rubrics is labor-intensive. Every meeting needs to be observed, every behavior needs to be categorized, every score needs to be defended with evidence. No revenue org has the manager bandwidth to do this manually for every call.

AI dissolves that constraint. With modern transcription and language models, every conversation can be evaluated against a BARS rubric within minutes. The labor problem disappears. What remains is the methodology problem — and that is what Revenue Behavioral Intelligence™ solves.

Frequently asked questions