We don’t just run your marketing.
We engineer it to run itself.

The moment a call arrives, the caller self-identifies. New prospects fire a clean MQL conversion event to Google Ads and GA4 with the click ID captured. Existing customers fire a brand-conversion event and route to dispatch. Everyone else is filtered. Most call tracking counts all three as conversions, training Google to find people who like to call, not people who buy. We separate those signals at the source, and the effect compounds: the longer it runs, the smarter your targeting gets, without touching your ad spend.

A Primary Orchestrator receives every web chat, SMS, and social DM and routes it to the right specialized agent in under 30 seconds, around the clock. The Sales Agent qualifies and advances new prospects. The Retention Agent handles complaints and cancellations before they become lost revenue. The Customer Service Agent manages support and payment questions. The Internal Worker Agent documents every interaction and escalates to a human when urgency warrants. Your front desk never closes.

Every qualifying contact is automatically assembled into a structured contact card (full name, verified phone, service address, confirmed need, and purchase intent) then pressed directly into your CRM by API. No data entry. No CSR gatekeeper. No lead lost to someone’s memory or workload. The average operation captures 37% of inbound contacts as documented MQLs before our system. After the Skout IVR, that number moves above 60%. The ad spend doesn’t change. The capture rate does.

When we deliver a qualified lead, the business receives a single SMS prompt. One digit keeps the lead moving. Reply 1, contacted and sold, and the outcome logs and flows into MQL reporting. Reply 2, could not contact, and the re-engagement bot deploys automatically. Reply 3, callback requested, and a reminder sequence starts. No dashboard login. No new workflow. No leads die from inaction.

The re-engagement bot doesn’t restart the sales conversation, it picks up from the point of established intent. The prospect already agreed to move forward. The framing is operational, not commercial: the appointment window they agreed to is at risk, and their problem is still unresolved. The only open question is scheduling logistics, not whether they want the service. That distinction changes how the lead converts entirely.

By separating new-customer intent signals from every other call type before they reach Google’s algorithm, we build a progressively cleaner picture of a genuine buyer in your market. Clean signals produce better targeting. Better targeting produces more of the right callers. More of the right callers become MQLs. The effect compounds with every call, so a business running the system for twelve months has a structural targeting advantage over a competitor who started last month.

We automate seasonal offers to your existing customer base at exactly the right moment in the demand cycle. The business case is significant: single-service customers retain at 75 to 85%, while customers who add a second service retain above 90% in high-performing operations. The difference between a customer who cancels after year one and one who stays for five is almost always whether they added a bundled service. The automation makes that conversation happen every time, not only when a CSR remembers it.

We pre-build limited-time offer sequences inside your stack, ready to deploy the moment you need them. Re-engage leads that went cold, drive referrals from existing customers, or push a seasonal offer when demand spikes. No new creative to commission. No agency turnaround. The campaigns already exist and are calibrated for your industry. The business simply decides when to activate them.

Our second-chance offer campaigns run entirely in the background, with zero human involvement. When a prospect goes cold after a sales conversation, the agentic AI re-engages on a defined sequence, warming the contact back to sales-ready before it surfaces to a human again. The problem that prompted the original inquiry is still unresolved, and the system presses on that reality. The business paid for that lead once. We recover it without paying for it twice.

Our reputation engine replaces the generic review request with a real AI-driven conversation. After a job closes, the agent engages the customer in natural language, gathers feedback, intercepts complaints before they reach Google, and requests reviews from satisfied customers at the right moment. Satisfaction is tracked down to the individual technician and branch, giving ownership a live view of where the operation is performing and where it isn’t. Zero human interaction. No canned templates. No complaints that survive to the review platforms unchallenged.