CRM sits alone in Salesforce.
Judging sales performance analytics also takes analyze win/loss, and that never shares a screen with Salesforce.
Sales teams run forecasts on stale, scattered data: Salesforce / Gong / HubSpot each hold a piece, none hold the whole. Sales managers coach based on gut feel.
The forecast pays for it.
Judging sales performance analytics also takes analyze win/loss, and that never shares a screen with Salesforce.
What Gong knows about analyze win/loss rarely flows back to Salesforce. Two tools, one unreconciled gap.
Identify trends surfaces in HubSpot ahead of time, but that tab is closed during sales performance analytics.
Under The Hood
CRM
Sales Engagement
Call Recording (Gong, Chorus)
The digest for the forecast: Track rep performance, analyze win/loss, identify trends, benchmark metrics, recommend coaching, riskiest items surfaced and owned.
The Context Store
Before the prompt runs, the Context Store has matched CRM, Sales Engagement, Call Recording (Gong, Chorus), Training Systems from Salesforce / Gong / HubSpot and 1 more onto one deal record. Sales performance analytics just reads it, no ID-stitching.
Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.
The Prompt
Two steps. Your data, your results, under 60 seconds.
I want to track rep performance by combining Salesforce, Gong, and HubSpot data, then report back.
SETUP
Use Airbyte's MCP. 4+ connected sources behind one natural-language surface.
WORKFLOW
connect Salesforce, Gong, and HubSpot -> read CRM, Sales Engagement, Call Recording (Gong, Chorus), Training Systems -> merge into one deal view -> rank and explain. Each unconnected source is one quick authorize step away.
TASK
Track rep performance, analyze win/loss, identify trends, benchmark metrics, recommend coaching. Return one digest ranked by urgency, top risks called out, a next step on each.The Outcome
10x
10x faster. Sales performance analytics does in seconds what ate 2 hours of track rep performance.
90%
~90% cheaper: zero new infra and no seats added to track rep performance.
3 -> 1
3 sources, 1 prompt: Salesforce, Gong, and HubSpot reconciled before sales performance analytics runs.
Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.
01 · Output
A 1-10 score on each deal means the urgent CRM rises to the top of sales performance analytics on its own.
02 · Signal
When your call platform and your system of record disagree on track rep performance, the gap is flagged. Not averaged into a guess.
03 · Context
The forecast shows the supporting CRM inline, sourced from Gong and HubSpot, no digging required.
04 · Action
For each deal, sales performance analytics names the next step. The play and the person to run it. Not just a number.
05 · Brief
Hand the digest straight to the forecast. Every figure traces back to Salesforce, Gong, and HubSpot.
Your forecast is only as fresh as the slowest tab. Call insights improve win rates by 15%. Yet the inputs sit split across Salesforce + Gong + HubSpot.
Sales teams run forecasts on stale, scattered data: Salesforce, Amplitude, and Mailchimp each hold a piece, none hold the whole. Manual lead management loses 80% of leads.
The data for your forecast already exists in Gong + Notion + Salesforce. The problem is no one view joins it. Coaching requires correlating call behaviors with deal outcomes; did this objection handling actually work? This means joining Gong transcript data with Salesforce outcome data, both of which have complex schemas and permission models that change quarterly.
Didn't find your answer? Please don't hesitate to reach out.
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49+ connectors including Salesforce, Gong, and HubSpot are ready. Give sales performance analytics the access to track rep performance.