How to set up pipeline attribution as Professional Services Founders
You close a new client and immediately lose track of how they found you. Was it the webinar in October? The LinkedIn post? The referral from that law firm partner? Your HubSpot deals have a source field that half the team fills out and half don't. Marketing spend goes into Google Ads and LinkedIn Ads with no clean line back to which retainer it produced. At quarter-end you're screen-sharing with your business development person, manually cross-referencing proposal dates with campaign dates in three different tabs, trying to answer a simple question: what actually fills our pipeline? Meanwhile enterprise attribution tools like Rockerbox or Northbeam are built for e-commerce, not a consultancy selling $80K engagements with a 90-day sales cycle.
What you'll set up
Apps, data, and prompts
The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.
Starch syncs your HubSpot data on a schedule (contacts, companies, deals, owners) and your Gmail data on a schedule (threads, labels) — both are scheduled-sync providers with deep integration. Google Ads and LinkedIn Ads connect from Starch's integration catalog; the agent queries them live when your attribution dashboard or weekly digest runs. Slack connects from Starch's integration catalog for deal-stall alert delivery.
Step-by-step
See this running on Starch
Connect your tools, describe what you want, and the agent builds it. Closed beta is free.
Q1 2026 Attribution Review — 12-person strategy consultancy
| LinkedIn Ads (2 campaigns active) | 8,400 |
| Google Ads (branded + competitor keywords) | 3,200 |
| Referral — law firm partner network | 142,000 |
| Outbound email sequences via Apollo | 31,000 |
| Webinar (Feb 2026) | 67,000 |
| Source field blank / Other | 54,000 |
When the founder ran the attribution dashboard for Q1 2026, the first thing it surfaced was that $54,000 in closed deals had no source field filled in — nearly 18% of the quarter's revenue was effectively invisible to the pipeline model. After cleaning those up (Starch flagged them; the BD lead updated HubSpot), the picture clarified fast. Referral partners — specifically the law firm network they'd invested almost no money in — had produced $142,000 in closed retainers, more than LinkedIn Ads and Google Ads combined. The webinar in February had generated $67,000 in pipeline, three deals still open. Apollo outbound sequences produced $31,000 but with the longest average sales cycle: 74 days versus 38 for referrals. The weekly digest had already flagged two 'Proposal Sent' deals that went cold without a follow-up email — one of them got recovered. The founder's takeaway: stop asking for more Google Ads budget and start hosting one more webinar per quarter.
How you'll know it's working
What this replaces
The other ways teams handle this today, and how the Starch version compares.
One platform — sales agent crm, crm, growth analyst all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.
Try it on Starch →Frequently asked questions
My team doesn't fill out the HubSpot source field consistently. Will this still work?
Can Starch automatically pull UTM parameters from our website forms into HubSpot deals?
Does Starch store my HubSpot deal data permanently, or is it just a live query?
We track referral partners manually in a spreadsheet today. Can Starch connect to that?
Is Starch SOC 2 certified? We have a client that asks about vendor security.
Can I use this for client pipeline attribution, not just my own firm's pipeline?
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Read guide →Ready to run set up pipeline attribution on Starch?
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