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.
Early results are encouraging. Customers running the platform through their first full quarter are seeing measurable movement in both behavioral scores and closed deals — we'll publish the correlation study, with methodology, once the sample supports it.
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. Gartner draws the same line, separating lagging indicators that describe historical performance from leading indicators that predict it, and it lists interaction quality among the leading ones. 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 “across your last twelve intro calls you moved to business framing before establishing any personal connection — here are the eleven timestamps where it happened” (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 relational and execution behaviors 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 methodology behind the RBI Score — how behaviors are defined, how they are weighted, and how scores are normalized — is proprietary to Elanor Labs. What is publicly true is this: the RBI is a composite of behavior-level evaluations rolled into a single normalized number, and every point in that number traces back to an observable moment in a real conversation.
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.
| Layer | What it measures | Vendor archetype |
|---|---|---|
| CRM | What was logged. The artifact of the deal: contacts, stages, activities entered after the fact. | Salesforce, HubSpot |
| Conversation intelligence | What was said. Recordings, transcripts, talk-to-listen ratios, keyword tracking. | Gong, Chorus, Avoma |
| Revenue intelligence | What is happening in the pipeline. Forecast accuracy, deal risk signals, account health. | Gong, Clari, Salesloft, BoostUp |
| Revenue Behavioral Intelligence™ | Which behaviors are creating or destroying revenue. Produces a weighted score measuring the quality of execution. | Elanor Labs |
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.
Why this hasn't been done before
Revenue Behavioral Intelligence™ is not a new idea about people — it is an old idea finally made tractable. Performance science settled the underlying question decades ago: ratings anchored to concrete, observable behavior are dramatically more reliable than ratings based on impression. Tie each level of performance to something a reasonable observer either saw or did not see, and the interpretation gap closes.
Put more simply: it is the sales equivalent of an assembly line. Define the steps, define what good looks like at each step, then measure against that definition every single time.
That approach has been the gold standard in human performance research for sixty years. The reason it never became standard practice in sales is cost. Every meeting has to be observed, every behavior categorized, every score defended with evidence. No revenue organization has ever had the manager bandwidth to do that for every call — so it got done for a handful of calls a quarter, by whoever had time, against whatever standard happened to be in that manager's head.
AI dissolves the labor constraint. Every conversation can now be evaluated consistently, within minutes of it ending. What remains is the hard part: deciding which behaviors actually matter, defining them precisely enough that they score the same way twice, and weighting them so the resulting number means something. That is the work Elanor Labs has done — and it is what Revenue Behavioral Intelligence™ refers to.
Frequently asked questions
Related reading: We raised $1.1M to build the credit score for sales conversations — the founder essay on trapped equity, why sales coaching is arbitrary, and why scoring every conversation is finally economical.
Want to see your team's RBI score?
Get in touch with Elan at Elan@ElanorLabs.com — or see it live on your own calls.
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