Use case · Sales teams

Sales analytics for teams that live in spreadsheets.

Sales analytics tools that aren't Salesforce or HubSpot's native reporting are surprisingly thin on the ground for SMB sales teams. DataHub Pro takes any CRM CSV export and produces pipeline by stage, win rate, deal velocity, top reps, deal-aging analysis, and a weighted forecast — for from $14.99/mo. Works with Salesforce, HubSpot, Pipedrive, Close, Salesloft, or just a hand-maintained Excel pipeline.

Updated 7 May 2026

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Any CRM
CSV from any source
Or your hand-maintained Excel pipeline
Forecast
Stage-weighted + Holt-Winters
Confidence bands instead of a single guess
$14.99
Per user per month
vs InsightSquared $1k+ / Clari custom / Gong $1.5k+

Why SMB sales teams struggle with sales analytics

SMB sales teams sit in an awkward gap. Salesforce/HubSpot's native reports are good for current-state pipeline but limited for deep analyses (cohort win rates by source, deal-aging by stage, rep-level forecast). The dedicated sales analytics tools (InsightSquared, Clari, Gong) start at £1k+/month and target sales orgs with 50+ reps. SMB sales teams (3-15 reps) end up:

Both options are bad. The first eats sales-ops time; the second leaves money on the table.

What sales analytics should be

Drop the CRM CSV. Get pipeline by stage, win rate by source, top reps, deal velocity, weighted forecast. Refresh weekly. Use the insight to coach reps, prune dead deals, and forecast credibly to leadership.

How sales teams use DataHub Pro

Six features that map to standard sales-analytics workflows. Same primitives as the rest of the platform, applied to deal-shaped data.

1

Pipeline-by-stage dashboard

Drop in deals.csv (Salesforce, HubSpot, Pipedrive standard exports). The platform identifies stage, value, expected close date, owner — and renders pipeline value by stage, deals-aging-in-stage, and stage conversion rates.

2

Win rate by source / segment / rep

Pivot win rate by lead source, customer segment, deal size band, rep — find which combinations work. Pareto chart shows where 80% of closed-won revenue comes from.

3

Deal velocity (days-in-stage)

Average days-in-stage per stage; flags deals stuck longer than the cohort average. Useful for the weekly pipeline review — surfaces deals that need a nudge or should be disqualified.

4

Stage-weighted + Holt-Winters forecast

Combine stage-weighted pipeline (each deal weighted by historical close probability for its stage) with a Holt-Winters trend forecast on closed-won revenue — confidence band view rather than a single guess.

5

Cohort win rates by acquisition month

Of deals created in March, what fraction closed by month 3, 6, 9? Cohort win rates surface seasonality and identify which lead-acquisition periods convert best.

6

Editable pipeline review PPTX

Auto Report bundles pipeline + forecast + top reps + risk deals into a branded PowerPoint for the weekly leadership review. 2 minutes vs. 60 minutes of manual pivot tables.

What sales leaders actually use this for

Who uses DataHub Pro on a sales team

VP / Head of Sales

Weekly pipeline review, quarterly forecast, board reports. Replaces the part-time sales-ops person you'd otherwise need to hire.

Sales operations / RevOps

The analytics layer that sits on top of CRM data. Cohort analyses, win-rate breakdowns, lead-source ROI — runs on schedule rather than as one-off pivots.

Founders / leaders at early-stage B2B SaaS

You don't have a sales-ops person. You're using HubSpot's native reports + a hand-maintained spreadsheet. DataHub Pro is the cheap intermediate step before hiring.

When DataHub Pro isn't the right shape for sales teams

If you're a 50-rep sales org with complex revenue ops (territory routing, comp plan modelling, real-time alerts on deal stage changes), you want a dedicated sales analytics platform like Clari, Gong, or InsightSquared with live CRM integration. DataHub Pro fits SMB sales teams (3-15 reps) doing weekly review cadence, where the snapshot pattern is fine and the price point ratio matters.

FAQs

Does it integrate with Salesforce / HubSpot / Pipedrive directly?

Today: each CRM exports a deals CSV — drop in. Direct CRM API connectors are roadmap. Most teams we work with prefer export-based for audit and snapshot-comparison reasons.

Can it forecast accurately?

Two methods combined: stage-weighted (each open deal × historical close probability for its stage) + Holt-Winters trend on closed-won revenue. The platform shows both numbers plus a confidence band. Typical forecast MAPE for healthy SMB pipelines: 10-20%, accurate enough for board-level forecasting.

How does it compare to Salesforce's native reports?

Salesforce reports are good for current-state pipeline and basic conversion analysis. DataHub Pro is better at: cohort win rates, deal velocity by segment, multi-source attribution, board-pack-ready PPTX export, and forecast with confidence bands. Most teams use both — Salesforce for live ops, DataHub Pro for periodic deep-dives and reporting.

Can it handle multi-currency deals?

Yes — multi-currency support with FX conversion to a reporting currency. Useful for international SaaS where USD/GBP/EUR deals coexist.

Does it score deal-stuck-in-stage automatically?

Yes. The platform computes the typical (median) days-in-stage from your historical data and flags any open deal exceeding that — colour-coded warning vs critical thresholds. Customisable thresholds.

Can leadership / board see the pipeline without buying a seat?

Yes — public-share URL with optional password. They view in any browser; no DataHub Pro account required. Or generate a branded PPTX and send it.

How does this compare to Clari or Gong?

Clari and Gong are deep, live, AI-driven sales platforms targeting 50+ rep orgs. DataHub Pro is broader (any spreadsheet workflow) and dramatically cheaper. For SMB sales teams (under 30 reps), DataHub Pro is the right shape; above that, you'd likely add Clari or Gong on top.

Can I see top-rep ramp curves?

Yes — cohort analysis on rep-level closed-won by tenure month. Useful for ramping new reps against the historical curve.

Is there a free tier I can test on real CRM data?

Yes. Free tier handles real CRM exports up to 50 MB / 100,000 rows. No credit card. Most teams onboard a Pro tier once they're using it for the weekly pipeline review.

Does it support custom calculated fields?

Yes. Calculated columns (e.g. weighted_value = amount × stage_probability), custom KPIs, derived metrics. Formula builder uses a real expression engine, not just predefined functions.

What sales teams use DataHub Pro for

Six sales analytics workflows — from pipeline health to customer segmentation — without a BI team.

🎯

Pipeline health & conversion

Upload CRM export. Get stage-by-stage conversion rates, average deal velocity, pipeline coverage ratio and win-rate trend — all from a standard CSV or XLSX.

👥

RFM customer segmentation

Automatically segments customers into Champions, Loyal, At Risk and Lost based on recency, frequency and monetary value. One click — no SQL, no formulas.

📈

Revenue forecasting

12-month Holt-Winters revenue forecast with confidence bands from your sales history. Segment by rep, region or product line — scenario-ready for QBRs.

🚨

Anomaly detection on key metrics

Flags unusual drops in close rate, abnormal deal sizes or outlier rep performance — automatically. Every alert traceable to the source rows driving it.

📊

Rep & territory performance

Compare performance across reps, territories or product lines with period-over-period breakdowns. Identify top performers and at-risk accounts before the quarter closes.

📄

QBR & sales review reports

Auto-generates QBR deck with pipeline summary, win-rate analysis, customer health and recommendations — editable PPTX or DOCX, ready for the board.

Run your next pipeline review in 15 minutes.

Drop in your CRM export. Get pipeline-by-stage, win rate, top reps, and a weighted forecast. Free tier — no credit card.

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