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Blog›Sales

Know which reps will hit quota before the quarter ends

Attainment dashboards in Salesforce tell you where reps stand today. They do not tell you whether a rep hired six months ago is ramping normally, which territories are structurally under-resourced, or what your commission liability looks like at current close rates.

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Sales team reviewing pipeline

The problem

  • →Month-end attainment reports are assembled manually from CRM exports and quota spreadsheets — by the time they land, the data is already a week old.
  • →Ramp performance for new reps is tracked informally, so underperformance relative to expected ramp curves goes unaddressed until it becomes a miss.
  • →Territory attainment looks flat in aggregate but hides reps who are overloaded and reps who have too little addressable market to ever hit quota.
  • →Commission forecasting requires a separate model in Excel that finance maintains independently from CRM data, leading to reconciliation debates every pay cycle.

Why the usual approach breaks down

Salesforce does not join quota data to opportunity data out of the box

Quota amounts live in the Forecasting Quotas object in Salesforce, while closed-won amounts live on Opportunities. Joining them to get attainment percentage by rep requires SOQL across multiple objects — a query that requires API access or a BI connector most sales ops teams do not have set up.

HubSpot has no native quota tracking

HubSpot does not have a quota object. Teams that use HubSpot for their CRM maintain quota in a separate spreadsheet and join it to HubSpot deal exports manually each month. The process is error-prone and the result is never in sync with live pipeline.

Ramp analysis requires cohort logic that Excel pivot tables cannot express cleanly

To compare reps hired in different months against a standard ramp curve, you need to index each rep's revenue to their hire date and bucket them by months-in-role. That logic is straightforward in SQL but requires multiple helper columns and a non-trivial pivot structure in Excel — and it breaks when headcount changes.

Commission calculations involve plan tiers, accelerators, and clawbacks that change every year

Commission plans are complex. Accelerators kick in at different attainment thresholds, split credit applies to overlapping territories, and clawbacks affect commission on deals that cancel. Maintaining a commission model in Excel that stays in sync with CRM actuals is a full-time job in organisations with more than twenty reps.

How AnalityQa AI AI solves it

Upload your data — or connect it live — and ask in plain English.

01

Upload your CRM export and quota file together

Export your closed-won opportunities from Salesforce or HubSpot and upload them alongside your quota spreadsheet. AnalityQa AI AI joins them on rep name or owner ID and calculates attainment percentage for each rep and period without any manual mapping.

02

Get attainment by rep, territory, and segment in plain language

Ask 'Show me Q1 attainment by rep versus quota' and AnalityQa AI AI returns a ranked table with closed-won amount, quota, and attainment percentage for each rep. Add 'by territory' or 'by segment' and it slices accordingly.

03

Build ramp curves from historical hire and revenue data

Upload a rep roster with hire dates alongside your historical closed-won data. Ask 'How does current ramp performance compare to our average ramp curve?' and AnalityQa AI AI indexes each rep's revenue to their hire date, calculates average revenue by month-in-role, and plots it against the historical baseline.

04

Forecast commission liability at current close rates

Describe your commission tiers in plain language — for example, '8% on attainment up to 100%, 12% above 100%' — and ask AnalityQa AI AI to project commission liability based on current pipeline and historical close rates. It calculates the expected payout range for each rep and the total liability for the quarter.

05

Pin attainment and ramp dashboards for weekly reviews

Any attainment chart, ramp comparison, or territory breakdown can be pinned to a shared dashboard. Upload a fresh CRM export each week and every panel updates automatically. Sales managers start their one-on-ones from a live view rather than last week's slide.

You askedGenerated in 4.2s

"Show me Q1 2026 attainment by rep versus their quota."

Pipeline

€2.1M+8.7%

Win rate

27%+2pp

Avg deal

€18.4k+€1.2k

Bar chart: Q1 2026 attainment by rep — % of quota

Last 12 mo
Segment ASegment BSegment CSegment DSegment ESegment F

Line chart: average revenue by month-in-role — current cohort vs. historical baseline

Table: territories below 80% attainment — prorated quota gap

A dashboard built in AnalityQa AI — from question to chart, no SQL.

Real examples

Paste your data. Ask. Ship.

You

Show me Q1 2026 attainment by rep versus their quota.

AI

AnalityQa AI AI joins your closed-won opportunity export to your quota file on rep name, sums closed-won amount per rep for Q1, and divides by quota to produce an attainment percentage. It ranks reps from highest to lowest and flags anyone below 70%.

Bar chart: Q1 2026 attainment by rep — % of quota
You

Compare ramp-month revenue for reps hired in the last 12 months against our historical average.

AI

AnalityQa AI AI indexes each new rep's closed-won revenue to their hire date, groups by month-in-role, calculates the cohort average, and overlays it against the historical average ramp curve from your prior-year data.

Line chart: average revenue by month-in-role — current cohort vs. historical baseline
You

Which territories have attainment below 80% two months into the quarter?

AI

AnalityQa AI AI groups closed-won amounts by territory field in your CRM export, calculates attainment-to-date versus prorated quota, and returns a table of territories below your threshold with the current gap amount.

Table: territories below 80% attainment — prorated quota gap
You

Forecast my commission liability for Q2 based on current pipeline and close rates.

AI

AnalityQa AI AI applies historical win rates by stage to your current open pipeline, projects close amounts per rep, applies your described commission tier structure, and returns a low/mid/high commission liability estimate for each rep and the team total.

Table: projected Q2 commission by rep — low / mid / high scenario
You

Show me how attainment distribution has changed quarter over quarter.

AI

AnalityQa AI AI buckets reps into attainment tiers (below 50%, 50-80%, 80-100%, above 100%) for each quarter in your data and renders a stacked bar showing how the distribution has shifted over time.

Stacked bar chart: rep attainment distribution by quarter — Q2 2025 to Q1 2026

What teams get out of it

✓Ramp underperformance is caught two to three months earlier when new reps are plotted against a historical baseline rather than reviewed informally.
✓Territory imbalances become quantifiable — managers can show leadership which territories are structurally under-resourced rather than relying on rep complaints.
✓Commission forecasting moves from a separate finance model to a query on current CRM data, reducing the month-end reconciliation cycle.
✓Weekly attainment reviews shift from assembling the data to acting on it, because the dashboard is ready before the meeting starts.

Frequently asked questions

Can AnalityQa AI AI connect directly to Salesforce for quota data?+

A native Salesforce connector is on the roadmap. Today, the recommended path is to export closed-won opportunities as a CSV and upload your quota spreadsheet alongside it. AnalityQa AI AI joins them on rep name or owner ID automatically.

We use HubSpot and track quota in a separate spreadsheet. Does that workflow work?+

Yes. Upload your HubSpot deal export and your quota spreadsheet together. AnalityQa AI AI joins them on rep name or email and calculates attainment without requiring any changes to how you currently maintain quota data.

How does AnalityQa AI AI handle split credit deals where two reps share the commission?+

You can describe the split logic in plain language — for example, 'deals marked as split should count 50% to each listed rep' — and AnalityQa AI AI applies the rule before calculating attainment. If your CRM export includes a split percentage column, it uses that directly.

Can RevOps use this for annual planning — setting quotas based on historical territory performance?+

Yes. You can upload multiple years of closed-won data and ask AnalityQa AI AI to calculate average revenue per rep by territory, ramp-adjusted productivity benchmarks, and attainment distribution. These outputs give RevOps a data-backed starting point for quota setting rather than a percentage markup on last year.

Is our rep performance and commission data private?+

Your uploaded files are stored in your isolated tenant, encrypted in transit and at rest, and are never used to train models.

Can sales managers view attainment dashboards without doing the analysis themselves?+

Yes. Dashboards built in AnalityQa AI AI can be shared with read-only viewers. Sales managers can monitor rep attainment and ramp performance without uploading files or writing queries.

What does it cost?+

Pricing is based on the number of users and data volume. A free trial is available with no credit card required — details are on the pricing page.

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