How to Combine Stripe and HubSpot Data to See Your Full Sales Funnel

The CRM-Billing Gap

HubSpot knows everything about your leads: when they entered the pipeline, which stage they're in, what emails they opened, which pages they visited. Stripe knows everything about your revenue: who paid, how much, when they upgraded, when they churned.

But neither tool knows about the other. HubSpot shows you 50 new leads this month. Stripe shows you 12 new customers. The journey from lead to customer is a black box that lives in the gap between the two systems.

This gap means you can't answer fundamental questions: How long does it take a lead to become a paying customer? Does your sales pipeline volume actually correlate with revenue? When you increase lead generation, how long before it shows up in Stripe?

What You'll Learn From Combining This Data

Overlaying HubSpot pipeline data with Stripe revenue reveals patterns that neither tool can show alone:

Lead-to-Close Time Correlation

Plot your weekly new leads (from HubSpot) against your weekly new customers (from Stripe). The lag between the two curves is your effective sales cycle. If leads consistently convert 3 weeks after entering the pipeline, you can predict next month's revenue from this month's pipeline activity.

Pipeline Volume vs Revenue

Is your pipeline volume actually correlated with revenue? It seems obvious that more leads should mean more revenue, but the correlation might be weaker than you think. If you're generating lots of low-quality leads, pipeline volume might not predict revenue at all. A weak correlation here is a signal to focus on lead quality, not quantity.

Deal Stage Velocity

Track how many deals move to each pipeline stage per week and overlay with revenue. You might discover that deals moving from "demo scheduled" to "proposal sent" is a stronger predictor of revenue than total new leads. That tells you which stage of your funnel deserves the most attention.

Setting Up the HubSpot Connection

Via API

HubSpot's API lets you pull deal pipeline data, contact counts, and engagement metrics. In TotalKPI, create an API data source:

1. Set the endpoint to your HubSpot API URL for the data you want (e.g., deals search or analytics)
2. Add your HubSpot API key in the authorization header
3. Configure a JSONPath expression to extract the specific metric (new deals count, pipeline value, etc.)
4. Set polling to daily for pipeline metrics

Via CSV

Export your HubSpot pipeline report as a CSV with dates and the metric you want to track (new contacts, deals created, deals closed). Import into TotalKPI with a few clicks.

Setting Up the Stripe Connection

Via API

Connect to Stripe's API to pull MRR, new customer count, or payment volume. Similar setup: endpoint URL, API key in headers, JSONPath for the value, and a polling interval.

Via CSV

Export Stripe's revenue data as a CSV. This is the fastest way to get historical data for the initial overlay.

Creating the Combined Funnel View

With both data sources in your workspace:

1. Create a combined view
2. Select your HubSpot lead metric and your Stripe revenue metric
3. The overlay renders immediately with automatic normalization

Now you can see both curves on the same timeline. The shapes tell the story: if leads spike in week 1 and revenue spikes in week 4, you've found your conversion lag. If leads spike and revenue doesn't follow, you have a conversion problem, not an acquisition problem.

Using Annotations for Campaign Tracking

TotalKPI lets you add date annotations to any chart. Use these to mark:

• Campaign launches ("Started Google Ads campaign")
• Process changes ("Implemented new sales script")
• External events ("Competitor raised prices")

Over time, these annotations create a visual history of what moved the needle. You can see at a glance which campaigns produced a lead spike that actually converted to revenue and which produced leads that went nowhere.

Practical Actions From This Data

Once you've overlaid HubSpot and Stripe data for a few weeks:

• If correlation is strong (>0.6): Your pipeline is healthy. Focus on increasing volume at the top of the funnel.
• If correlation is weak (<0.3): Your leads aren't converting. Focus on lead quality, qualification criteria, or your sales process.
• If there's a long lag (>4 weeks): Your sales cycle is long. Consider whether you can shorten it with better onboarding, lower friction trials, or simplified pricing.
• If lag is inconsistent: Some lead sources convert faster than others. Break out your HubSpot data by lead source and overlay each one separately with revenue.

Get Started

Start a free trial and connect your HubSpot and Stripe data. The combined view takes about 10 minutes to set up and immediately reveals the relationship between your pipeline and your revenue.