A mid-size agency's HubSpot and Salesforce were running on manual effort — reps copying data between systems, leads going cold for days, and pipeline visibility limited to whoever last updated the spreadsheet. We redesigned the entire automation layer.
A 45-person digital agency was using both HubSpot (for marketing and lead capture) and Salesforce (for deal management and client work). But the two systems weren't connected. When a lead filled out a form on the website, a rep had to manually create the contact in Salesforce, copy the details, assign the account, set up the deal — a process that took 8–12 minutes per lead and happened 15–20 times per day.
Worse, there was no standardized pipeline. Some reps used HubSpot deals, some used Salesforce opportunities, and some used a Google Sheet. Pipeline reviews were based on whoever's spreadsheet was most recently updated. Stage definitions were inconsistent — "Qualified" meant different things to different reps.
We redesigned the entire automation layer: built 12 automated workflows spanning lead routing, deal creation, lifecycle staging, task assignment, follow-up sequences, and cross-system sync — plus a real-time pipeline visibility dashboard that eliminated the spreadsheet entirely.
The biggest quick win was automating lead routing. Previously, new leads sat in HubSpot until someone noticed them, manually reviewed the details, decided who should handle it, and created a task. The average time from form submission to first rep contact was 18 hours — and 31% of leads were never followed up at all.
The new workflow triggers instantly on form submission: it enriches the lead with company data, scores it based on firmographics and behavior, routes it via weighted round-robin to the appropriate rep (based on territory, capacity, and expertise), creates the Salesforce contact and opportunity simultaneously, and fires a task notification to the rep's queue — all in under 30 seconds.
The agency had no standardized pipeline. We defined 6 clear stages with explicit entry/exit criteria, automated stage transitions based on deal activity, and built a real-time Kanban view that replaced the Google Sheet entirely.
Key insight: The biggest drop-off is between Qualified (Stage 2) and Proposal (Stage 3) — a 42% conversion rate. This revealed that reps were qualifying leads too loosely. Tightening the qualification criteria actually improved downstream conversion by 18% because only genuinely ready leads entered the proposal stage.
We built 12 distinct automation workflows. Click any trigger below to see the full chain of actions it fires — each one replacing a manual process that previously required a rep to remember, copy-paste, or manually update fields.
The combined effect of faster lead response, standardized pipeline stages, automated follow-up sequences, and eliminated data entry errors produced a 23% improvement in overall pipeline conversion rate within the first 90 days. Win rate moved from 18.4% to 22.6%, and average deal cycle shortened from 34 days to 26 days.
The automation layer sits between HubSpot (front-end marketing) and Salesforce (back-end deal management), with Zapier orchestrating the trigger chains and a lightweight JSON API feeding the pipeline dashboard. The architecture is designed to be maintainable by a non-technical ops manager — no code deployments needed to modify workflows.
Form submit → enrichment → scoring → routing → Salesforce opportunity → rep notification in under 30 seconds, with zero manual data entry.
43 fields mapped between HubSpot and Salesforce with conflict resolution rules. Changes in either system propagate to the other within 5 minutes.
Real-time board showing all deals across 6 standardized stages with values, owners, and days-in-stage — replacing the Google Sheet permanently.
Low-score leads enter a 4-touch email sequence. If they engage (open, click, revisit site), they're automatically re-scored and routed to a rep.
Deals sitting in any stage for >7 days without activity trigger a Slack alert to the rep and a task in Salesforce. Escalates to manager at 14 days.
Stage-to-stage conversion rates, average cycle time per stage, and win/loss analysis — all calculated automatically from the pipeline data.
Manual work eliminated per rep
Pipeline conversion improvement
Average deal cycle reduction