Real infrastructure.
Real results.

The problem

40% no-show rate. Sales team spending the majority of their time on unqualified follow-up. Cost per booked appointment too high to scale.

What we built

Closed-loop AI qualification pipeline integrated with their scheduling system. Automated follow-up sequences. No-show reduction workflow with multi-channel confirmation.

The result

No-show rate: 40% → 10% in 60 days. Same ad spend. 33% more effective appointments. Sales team now focused exclusively on closing.

The problem

100% dependent on referrals. No owned acquisition system. Competing on price against businesses buying the same leads from the same platforms.

What we built

Digital real estate infrastructure — local SEO, content, landing pages. Outbound cold email and cold call system targeting commercial accounts. CRM pipeline with automated nurture sequences.

The result

0 → 48 organic leads per month in 90 days. First commercial contract: recurring monthly revenue. Zero dependency on third-party lead platforms.

The problem

Estimator burning 20+ hours a week on unqualified walkthroughs. Quote-to-close under 18%. Season starting with a half-empty schedule.

What we built

Pre-estimate qualification funnel with photo intake and budget gating. Automated proposal delivery within 24h. Follow-up cadence engineered around the decision window.

The result

Quote-to-close: 18% → 41%. Estimator hours cut in half. Booked out 6 weeks ahead by week 3 of the season.

The problem

High-ticket leads treated the same as $500 handyman jobs. No segmentation. Owner personally chasing every inquiry, bottlenecking the entire pipeline.

What we built

Tiered intake infrastructure — budget-qualified leads routed to design consult, everything else to a nurture track. CRM stages mapped to the real sales cycle (weeks, not days).

The result

Average project size: $22k → $58k in 4 months. Owner off the phone. Design consultations booked 3 weeks out with 70% conversion to signed contract.

The problem

Dealer-dependent for 90% of volume. Direct-to-consumer channel existed on paper but produced almost nothing. No visibility into which showrooms drove real business.

What we built

Direct-to-homeowner acquisition system — local SEO, template gallery landing pages, quote-request funnel. Attribution layer connecting showroom referrals to installed jobs.

The result

Direct channel: 10% → 38% of monthly revenue in 5 months. Identified 2 dealer partners driving negative margin — renegotiated. Owned pipeline no longer optional.

The problem

Utility rebate program driving all lead flow. One policy change away from zero. Sales team quoting whoever picked up the phone, no filter.

What we built

Independent acquisition stack — paid search, local content, referral engine with automated homeowner follow-up post-install. Lead scoring model to route by home age, square footage, and rebate eligibility.

The result

Rebate-independent leads: 12% → 55% of pipeline in 6 months. Close rate up 24% from better-fit routing. Business survived the state program cut that killed two competitors.

The problem

12-month sales cycle with no system to nurture homeowners through zoning, financing, and design phases. Leads went cold at the feasibility stage and never came back.

What we built

Long-cycle nurture infrastructure — phase-based email/SMS sequences tied to feasibility, permitting, and financing milestones. Feasibility assessment tool as top-of-funnel. Reactivation engine for leads over 90 days old.

The result

Sales cycle: 12 months → 7 months average. Dormant-lead conversion: 0% → 14%. Pipeline value 3x within one year — no change in ad spend.

The problem

Front desk drowning in DMs and voicemails. Booking rate from inquiry under 22%. Cancellations and no-shows eroding provider utilization.

What we built

AI-powered inquiry handler across Instagram, web chat, and SMS — books consultations 24/7 with deposit capture. No-show workflow with tiered reminders and rebook offers. Provider utilization dashboard.

The result

Inquiry → booking: 22% → 61%. No-show rate cut in half. Provider chairs at 92% utilization vs. 68% baseline. Front desk redeployed to in-clinic experience.

The problem

Route density terrible — vans crossing the city between appointments. Bookings taken by whoever answered, no geographic logic. Growth capped by driver hours, not demand.

What we built

Zone-based booking engine that clusters appointments by ZIP and day-of-week. Automated recurring-appointment upsell at checkout. Waitlist logic that fills cancellations by proximity.

The result

Appointments per van per day: 6 → 11. Recurring clients: 34% → 71% of book. Added a second van in month 4 without a single new marketing dollar.