Sales Intelligence - Gong
Gong records everything.
Most teams act on almost none of it.
We build the scorecards, deal boards, and CRM integrations that turn Gong's conversation and activity data into decisions your managers and reps actually use every week.
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$250M+
Pipeline generated
42%
Average pipeline growth
18.3%
Average budget saved
Results from actual client engagements.
Trusted by the teams we build with
Paying for Gong and still running deals on gut feel and stale notes
Gong captures every call, email thread, and web conference your team runs - but capturing is not the same as using. Most mid-market teams end up with a library of recordings nobody reviews, a Deals board that mirrors the same CRM fields managers already distrust, and AI-generated call summaries that get skimmed and forgotten. The tracker alerts fire constantly until reps learn to tune them out. Forecast categories in Gong stay disconnected from what lives in Salesforce or HubSpot, so revenue leaders are reconciling two systems instead of getting one clear picture. The platform has the signal; the workflow to act on it was never built.
Revenue Institute comes in after the license is live and does the configuration work that actually changes behavior. That means building call scorecards tied to your specific sales methodology, wiring Gong's activity and sentiment signals back into your CRM as structured fields, setting up Deals views that surface real risk indicators rather than rep-entered close dates, and creating a coaching workflow managers will actually run in their one-on-ones. We also connect Gong's engagement data to your outbound sequences so the full buyer interaction picture is in one place.
What we do with Gong
What we build inside your Gong instance
Call scorecards tied to your methodology
We build Gong Scorecards that map to the specific sales methodology your team uses - whether that is MEDDIC, SPICED, or a custom qualification framework. Reviewers score against criteria that match your actual sales motion, not generic talk-time ratios. Scores roll up so managers can spot coaching patterns across the whole team, not just individual calls.
Deals board configured for real risk
Gong's Deals view can surface next step gaps, engagement drops, multi-threading scores, and days since last interaction - but only if the columns, filters, and alerts are set up deliberately. We configure the board so a manager can run a pipeline review in fifteen minutes and leave with a prioritized action list, not more questions about data accuracy.
CRM write-back for Gong activity signals
Gong captures engagement data your CRM never sees unless you build the integration. We map Gong's call outcomes, talk ratios, next steps, and key moment flags back into Salesforce or HubSpot fields so that data is available for reporting, lead scoring, and forecasting without anyone copying notes by hand.
Tracker and alert configuration that gets used
Gong Trackers are powerful when scoped correctly and noise when they are not. We audit or build your tracker library - competitor mentions, pricing discussions, risk phrases, champion language - and wire alerts to the right people at the right stage so they trigger action rather than inbox fatigue.
Forecast and pipeline reporting that reconciles
We build Gong forecast views and connect them to your CRM opportunity stages so revenue leaders stop maintaining two separate pipeline pictures. That includes setting up category definitions, configuring the AI forecast model inputs where applicable, and creating a weekly review cadence your team will actually run.
Coaching workflow and manager enablement
The most common Gong failure mode is that recordings exist but coaching does not happen. We design a repeatable coaching workflow - call selection criteria, scoring cadence, feedback templates, and a library structure - so managers have a system, not just a tool. We also run working sessions with managers so they know how to use Gong's coaching features in practice.
Our framework
How a Gong engagement with us runs
Audit and alignment
We review your current Gong setup - trackers, scorecards, CRM integration, Deals configuration, and user adoption data - and interview managers and reps about what they actually use versus ignore. We map that against your sales motion and identify the highest-leverage gaps to close first.
Build and integrate
We configure or rebuild the components that matter: scorecards, Deals views, tracker libraries, CRM field mappings, and forecast categories. Where Gong's native integration with your CRM has gaps, we build the middleware or use Gong's API to get data flowing cleanly in both directions.
Activate and hand off
We run live working sessions with managers and reps, document every configuration decision so your team can maintain it, and set up a short-cycle review period to tune anything that does not land as expected. You end the engagement owning the system, not dependent on us to run it.
Why Gong works in theory and stalls in practice
Gong's core value proposition is straightforward: record every buyer interaction, apply AI to surface what matters, and give revenue leaders a data layer that does not depend on reps filling out CRM fields honestly. The platform does all of that. The problem is that the gap between what Gong can surface and what a mid-market team actually acts on is almost entirely a configuration and workflow gap, not a product gap. Gong ships with sensible defaults, but sensible defaults are not the same as a setup tuned to your specific sales motion, your CRM data model, and the way your managers actually run their teams.
The most common failure pattern looks like this: Gong gets deployed, call recording turns on, the CRM integration connects at a basic level, and then adoption plateaus. Reps see the AI summaries as a convenience feature. Managers open the Deals board once, find it mirrors the same stale close dates from Salesforce, and go back to their spreadsheet. Trackers fire on every call and get ignored. Nobody builds the scorecards because nobody agreed on what good looks like. Six months in, the platform is paying for itself as a call recording archive and nothing more. That is a real cost, not a hypothetical one, because the license is not cheap and the opportunity cost of not using the deal intelligence is significant.
What production looks like when Gong is actually working
When Gong is configured and adopted correctly, the operational picture is different in specific, observable ways. Pipeline reviews run off the Deals board rather than a CRM report, because the board shows engagement velocity, next step gaps, and multi-threading scores that the CRM never captured. Managers come to one-on-ones with a scored call already selected and a coaching conversation that references specific moments rather than general impressions. Forecast calls take less time because the AI forecast number is trusted as a cross-check, not dismissed as a black box. Reps who are losing deals on competitor mentions or pricing objections get flagged by trackers before the deal is already lost.
Getting there requires decisions that most teams never make explicitly: what does a good discovery call look like in your motion, and how do you score it? Which CRM fields should Gong write back to, and who owns keeping them clean? What tracker library reflects the actual risks in your market? How does the forecast category in Gong map to the stage definitions in Salesforce? These are not Gong questions - they are revenue operations questions that Gong forces you to answer if you want the platform to do more than record calls. Revenue Institute's role is to work through those decisions with your team, build the configuration that reflects the answers, and make sure the people who need to use it actually know how.
We're vendor-agnostic
Other Sales Engagement platforms we specialize in
Not sure Gong is the right fit? We implement and optimize these too - and we'll tell you honestly which one fits your business.
Gong questions, answered
We already have Gong running. Do we need to start over or can you work with what we have?
We work with what you have. The audit phase is specifically designed to identify what is worth keeping, what needs to be reconfigured, and what is missing entirely. Most mid-market teams have a partially useful setup - some trackers that work, a CRM integration that is half-wired, scorecards that nobody fills out. We clean up and extend rather than wipe and rebuild unless the foundation is genuinely broken.
Our reps do not review their own call recordings. How does that change?
Adoption is a workflow problem, not a motivation problem. When Gong is configured so that a rep's call score affects their coaching conversation and the next step from a call is automatically logged to the CRM, reviewing recordings becomes part of the job rather than optional homework. We design the workflow so using Gong is the path of least resistance, not an add-on task.
Can you connect Gong to our Salesforce or HubSpot instance?
Yes. Gong has native integrations with both Salesforce and HubSpot, but the default setup often leaves key fields unmapped and write-back incomplete. We configure the native integration fully, build any custom field mappings your reporting requires, and where the native connector has limits we use Gong's API or middleware to fill the gap. The goal is one clean record per opportunity, not two systems to reconcile.
How long does a typical Gong implementation or optimization take?
A focused optimization of an existing Gong instance - scorecards, Deals, trackers, CRM write-back - typically runs four to eight weeks depending on CRM complexity and how many stakeholders need to align on methodology. A net-new implementation from a fresh license takes a similar timeline. We do not drag engagements out; we scope to what will actually get used.
We use Gong for forecasting but managers still trust their gut over the number. What is the fix?
Gong's AI forecast is only as trusted as the data feeding it. If opportunity stages in your CRM are rep-entered and inconsistent, the forecast output reflects that noise. The fix is upstream: standardize stage criteria, enforce next step logging, and configure Gong's engagement signals as a cross-check on rep-submitted numbers. Once managers see the model catching deals that slip without flagging, trust builds.
Do you train our sales managers on Gong, or just configure the tool?
Both. Configuration without enablement is how you end up with a well-built tool nobody uses. We run working sessions with managers specifically on how to run a call review, how to interpret the Deals board signals, and how to use Gong's coaching features in a one-on-one. We also document the workflow so new managers can be onboarded without starting from scratch.
We are evaluating Gong against Chorus or Salesloft's conversation intelligence. Can you help us decide?
We are vendor-agnostic, so we will tell you what we actually think. Gong is the stronger choice for teams that want deep deal intelligence, a purpose-built forecast layer, and a large ecosystem of CRM integrations. Chorus fits teams already deep in ZoomInfo. Salesloft's conversation intelligence is adequate if you are already on that platform and do not need Gong's deal-level analytics. The right answer depends on your existing stack and how your managers actually run pipeline reviews.
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