Beyond call recording: getting real ROI from Gong
Most teams treat Gong as expensive call storage. The return is in coaching, deal execution, and forecast accuracy. Here is how to move from recording to results.
Read the full post →Almost every company has Sales Cloud. Very few get what they paid for. The platform ends up as an expensive contact database: reps update it because they are told to, managers do not trust the forecast, and the automation that was supposed to save time quietly creates work. The gap is rarely the software. It is the design, the process baked into it, and whether the people who live in it every day actually want to.
We work across the full life of a Sales Cloud org. New implementations where we design the data model and sales process from the ground up. Optimization of mature, sprawling instances that have accumulated years of well-intentioned customization and technical debt. Deep customization and integration when the standard object model does not fit how you sell. AI augmentation with Agentforce where it earns its keep. And the seller-adoption work that determines whether any of it sticks, because a perfectly architected org no one uses is still a failure.
The predictable failure points: a data model that mirrors the org chart instead of how deals actually move, automation layered on automation until no one can change anything safely, a forecast built on stages reps fill in to satisfy a manager rather than to reflect reality, and an adoption plan that was really just a training email. We design around those from the start, and when we inherit them, we untangle them before we build anything new.
We have been a Salesforce Consulting Partner since 2017, with more than 100 active certifications and a 5 out of 5 rating on the Salesforce AppExchange. Sales Cloud is the platform we have lived in longest. We have seen how these orgs succeed and how they rot, and we build for the version that still moves the forecast three years from now.
The engagements we run most often on Salesforce Sales Cloud, from first implementation through optimization.
Greenfield deployments for new instances or replacing legacy systems, with discovery, scope, build, and adoption baked in.
Deep audits and improvement work on mature instances: pipeline hygiene, stage definitions, automation cleanup, and adoption recovery.
Configure-price-quote and Revenue Cloud builds for product complexity, discount governance, and quote-to-cash workflows.
AI augmentation, opportunity scoring, next-best-action, call summarization, and Agentforce-powered sales workflows.
Stage definitions, exit criteria, MEDDPICC operationalization, forecasting frameworks, and inspection cadences.
Migrations from HubSpot, Microsoft Dynamics, Pipedrive, Zoho, and legacy CRMs, including data, automation, and integration parity.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
Configuration, development, integrations, data migration, and QA, with weekly demos and on-the-fly adjustments.
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Practitioner-level analysis from the consultants delivering the work.

Most teams treat Gong as expensive call storage. The return is in coaching, deal execution, and forecast accuracy. Here is how to move from recording to results.
Read the full post →