No visibility into what contacts were doing on the website — sales had no idea which pages a lead visited, what content they engaged with, or where they came from before submitting a form.

Marketing spend had zero attribution. Teams couldn't tell which channels were driving qualified leads vs. wasted budget.

Activated HubSpot tracking across all pages with UTM parameter capture — every visit, source, medium, campaign, and content stamped automatically on contact creation.

Built a full attribution model: first touch, last touch, and multi-touch all visible on the contact timeline before the first sales call.

• 100% of leads have source tracked on creation
• Sales reps arrive with full visit history and behavior context
• AI-assisted prospecting enabled on real interest signals
• Marketing ROI finally measurable — budget shifted to highest-converting channels

The CRM had contacts with missing industries, wrong countries, duplicate records, and no clear ownership. Leads came in without segment tags — no one knew which product tier or sales motion applied.

No agreed definition of what a good customer looked like. Sales picked leads on gut feel. Marketing ran campaigns to everyone.

Built a structured segmentation framework across five market segments mapped to industries, company size bands, and workforce type. This framework lives natively inside HubSpot — every contact and company tagged consistently.

Full CRM data validation: enriched records, deduplicated contacts, added decision-maker flags, and built an ICP scoring model that scores inbound leads before they reach a rep.

• ICP-fit leads identified before any rep touches them
• Segment tags applied consistently across all contacts
• CRM data completeness went from patchy to structured
• Sales focused time on the right company profiles
• Reporting by segment became possible for the first time

No-show rates were hitting 35%. Reps had no context before calls. Post-meeting follow-up was inconsistent — some reps sent it, most forgot.

Meeting booking lived outside HubSpot — no deal creation, no contact update, no visibility into whether demos were happening at all.

Built HubSpot Meetings booking links with custom intake forms for each rep. On booking: deal auto-created, contact stage updated, rep notified immediately.

Pre-meeting: T-24h reminder to prospect, T-1h SMS nudge, T-30min rep briefing. Post-meeting: outcome logged → next step auto-triggered based on result.

• No-show rate dropped from 35% to 12%
• Qualified → Demo held cut from 5 days to 2.1 days
• 100% of post-demo follow-ups now automated
• Reps arrive with full contact history and prep brief
• No-show recovery sequence reduced lost opportunities by 40%

Every rep had their own version of how to sell. Qualification criteria were informal. Forecasting was unreliable because stages meant different things to different people.

Commissions were calculated manually every quarter with disputes and corrections. Reps had no visibility into their own earnings until end of period.

Built and documented a full GTM playbook inside HubSpot covering sales methodology, stage definitions, gate criteria, and SDR to AE handoff process. Every stage has a clear definition, entry requirement, and exit check.

Commission policy built into HubSpot reporting — reps see their own progress against quota in real time. Quarterly tiers and upfront bonuses calculated automatically.

• Consistent qualification across all reps and regions
• SDR to AE handoff criteria clear and enforced in HubSpot
• Forecast accuracy improved after stage standardization
• Commission visibility gave reps real-time quota progress
• Commission disputes dropped to near zero

Invoices were sent manually and inconsistently. Overdue payments went unnoticed for weeks. Renewal conversations happened too late — or not at all.

MRR/ARR tracked in spreadsheets updated by hand. No early warning system for churn risk tied to unpaid invoices.

Connected HubSpot to billing — invoices auto-generated on Closed Won from deal line items. Full reminder sequence: T-7 reminder, T-1 final notice, T+3 overdue to billing, T+14 escalation to CEO/Finance.

Renewal deal auto-created 90 days before contract end. HubSpot Subscriptions tracks every active contract — MRR, ARR, and contract value live on the deal record.

• Finance admin on billing reminders reduced to near zero
• 100% of renewals auto-created — none forgotten
• Overdue invoice visibility: live dashboard vs manual tracking
• MRR/ARR tracked in real time inside HubSpot
• Churn risk flagged early: overdue invoice + low NPS triggered together

Customer success was entirely reactive — CS only found out about problems when clients complained or when it was too late to save the renewal. No health score, no early warning, no expansion tracking.

NPS collected manually with a 10% response rate. Renewals created when CS remembered. CS, Sales, and Support operated in complete silos.

Built a full CS ops layer: 8-stage CS pipeline, 5-signal health scoring engine (NPS + usage + tickets + invoices + onboarding) updated weekly by Operations Hub. Automated NPS at Day 60, escalation paths for critical accounts, renewal auto-creation at T-90.

Connected Sales, CS, and Support into one system. The CS Workspace is the control center — every account health, renewal, flag, and task visible in one view.

• NPS response rate jumped from 10% to 68%
• Renewal coverage: 100% automated — zero missed
• CS admin time from 60% to 15% of the work week
• Expansion pipeline: 0% visibility → fully tracked
• At-risk accounts actioned within 24-hour SLA
• Health score: gut feel → 100% data-driven

Leadership asked the same questions every week: "How's the pipeline? Where are we on quota? What's the NPS trend?" Every answer required someone to manually pull data from three different places.

Reports were stale by the time they landed. Sales, Marketing, and CS all had different numbers for the same metric — trust in data was at zero.

Built a layered reporting architecture: HubSpot native dashboards for ops-level visibility (pipeline health, rep performance, lifecycle conversion), and Tableau for executive-level data storytelling across multiple data sources.

Every section of this portfolio has a corresponding dashboard — tracking, lifecycle, pipeline, CS health, billing, support. One source of truth, always live.

• Weekly status meetings replaced by self-serve dashboards
• Pipeline review prep time dropped from 2 hours to 10 minutes
• Every team working from the same numbers simultaneously
• Executive Tableau reports updated automatically — zero manual exports
• Data trust restored: clean inputs → reliable outputs