Case Studies

Real Results From Real Small Businesses

We are the traffic engine for small and medium businesses. Below are illustrative scenarios drawn from the kinds of engagements we run every quarter, showing how the right combination of SEO, paid search, AI automation, and lifecycle email can change the trajectory of an operator-led business in months, not years.

How We Document Outcomes

Honest framing matters. Here is how to read these examples.

Names anonymized; metrics representative of typical client outcomes. The four scenarios below are illustrative composites that reflect the engagement shape, the work performed, and the order-of-magnitude results we routinely deliver for small and medium businesses across home services, contracting, agency, and direct-to-consumer ecommerce. We chose to publish illustrative examples rather than fabricate specific named clients. As real engagements complete review and approval cycles, this page will be replaced with named case studies, named contacts, and verified KPI exports.

Four Illustrative Engagements

Different industries, same playbook discipline: identify the leverage point, build the system, measure the lift.

Example: Regional HVAC Company

3x Lead Volume in 6 Months

Problem. A second-generation HVAC operator with three trucks was generating roughly 80 service-call leads per month, almost entirely from word of mouth and a thin Yellow Pages legacy presence. Google Ads spend was producing high cost per lead and uneven quality. The owner could not predict next month’s pipeline.

Solution. We rebuilt the local SEO foundation, then layered in tightly scoped paid search.

  • City-level landing pages for the seven highest-intent service queries
  • Google Business Profile cleanup, photo refresh, and review-request automation
  • Google Ads campaigns rebuilt around exact-match emergency-service keywords
  • Call tracking with whisper messages so techs know which campaign produced each lead
Result: 80 leads/month grew to roughly 240 leads/month at a lower blended cost per lead. Booked-job conversion improved because the new landing pages pre-qualified urgency.
What we built
  • 11 service-area landing pages with structured data
  • 3 Google Ads campaigns plus retargeting
  • Automated review request workflow
  • Weekly KPI dashboard delivered every Monday
Example: Independent Roofing Contractor

Response Time: 4 Hours to 8 Minutes

Problem. The owner of a residential roofing operation was fielding roughly 60 inbound storm-damage requests per week through email, web form, and Facebook Messenger. Quality leads were getting buried under quoted-out tire kickers, and the average first-response time was around four hours, well beyond the window where insurance-claim homeowners pick a contractor.

Solution. We deployed an AI inbox triage layer that classifies, summarizes, and routes every inbound message before a human ever opens it. Real urgency goes straight to the project manager’s phone.

  • Custom classifier tuned on the company’s historical email corpus
  • Auto-drafted reply templates for the four most common scenarios
  • SMS escalation for storm-damage and emergency leak keywords
  • Daily digest of low-priority messages so nothing is lost
Result: Median first-response time dropped from about 4 hours to 8 minutes. The team reports closing roughly twice as many storm leads with the same headcount.
What we built
  • AI classification and summarization service
  • Twilio SMS escalation pipeline
  • Reply-draft browser extension for the office manager
  • Audit log of every routed message for compliance review
Example: B2B Marketing Agency

12 Hours/Week Saved on Manual Data Entry

Problem. A nine-person marketing agency was running its client work through a hosted CRM but maintaining four separate Google Sheets for billing reconciliation, time tracking, project status, and proposal pipeline. The operations manager was spending more than half her week copy-pasting between systems, and information drifted between sources within hours.

Solution. We built a single source of truth on top of the existing CRM and pushed every other tool into a read-only role. Automation replaced the copy-paste loop entirely.

  • CRM custom objects modeling projects, retainers, and invoices
  • Two-way sync between CRM and accounting system
  • Slack notifications when project status changes or proposals stall
  • Read-only client portal with status, deliverables, and invoice history
Result: The operations manager reclaimed roughly 12 hours per week. Forecasted revenue accuracy improved because every quote, invoice, and task now lives in one connected system.
What we built
  • Custom CRM schema and migration scripts
  • Bi-directional accounting integration
  • Slack bot for pipeline alerts
  • Client portal with role-based permissions
Example: Direct-to-Consumer Ecommerce Brand

2.4x Email-Attributed Revenue

Problem. A bootstrapped specialty foods brand was driving solid traffic from organic and Meta ads but converting it through a single basic abandoned-cart sequence. Email represented less than 8% of revenue, well below the 25-30% benchmark for a healthy DTC brand at their stage.

Solution. We rebuilt the lifecycle email program around a content-rich lead magnet and segmented post-purchase journeys, then layered in SMS for time-sensitive promotions.

  • Recipe-bundle lead magnet with custom landing page
  • Six-email welcome sequence with progressive product education
  • Behavioral post-purchase flows segmented by first product purchased
  • SMS opt-in flow for back-in-stock and flash-sale alerts
Result: Email-attributed revenue grew 2.4x within the quarter. List growth ran at roughly 1,400 new subscribers per month, building a durable owned channel that paid ad rates cannot erode.
What we built
  • Lead-magnet landing page and PDF asset
  • Welcome, abandoned-cart, post-purchase, and winback flows
  • SMS opt-in and segmentation logic
  • Klaviyo dashboard tracking owned-channel revenue

How We Measure ROI

Marketing without measurement is theater. Here is exactly how we track the work.

  • Baseline first. Before we touch anything, we capture 90 days of historical performance: leads per channel, cost per lead, conversion rate, average order value, and customer lifetime value. Without a baseline, every claim is opinion.
  • Server-side and client-side telemetry. We instrument both. Client-side analytics show user behavior. Server-side events feed a CRM source of truth so a lost ad cookie cannot erase a real lead.
  • Attribution model on the table. We tell you up front whether we are using last-touch, first-touch, or position-based attribution, and we never quietly switch models mid-engagement to make a number look better.
  • Weekly KPI digest. Every Monday you get a one-page report with leads, cost per lead, pipeline value, and what we shipped last week. No 40-tab dashboards, no consultant theater.
  • Quarterly business review. Once a quarter we step back and ask whether the system is still the right system. If something is not working we say so and propose a different bet, in writing.

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