CAC keeps rising because you're funding a team,not a system.
Agency retainers were designed around people: account managers, channel specialists, junior staff. The model made sense before automation could replace what a team of six used to handle manually, but the tools have since changed and the pricing structure hasn't followed.
Most B2B companies are paying $5,000–$12,000 a month for agency retainers that were designed for a world where you couldn't automate data enrichment, signal detection, or personalised outreach. The question worth asking is whether that model is producing the pipeline growth the spend implies it should.
More activity, More spend, Roughly the same pipeline.
The companies that come to us aren't failing, they're busy running sequences, managing retainers, producing content, but the output isn't compounding into pipeline, and the more effort goes in, the more the flat return becomes impossible to ignore.
"What used to take a team of six BDMs three years of manual effort, Signal Led Growth delivered in a fraction of the time. Identifying a high-volume of ICPs that were previously invisible to us."
We do not sell campaigns, We architect systems.
Where most agencies run disconnected activities and report on them afterwards, we apply Just-In-Time logic to revenue operations so the system continuously improves its timing, prioritisation, and follow-up. Every engagement follows five phases, adapted to your existing stack, team, and market.
We treat the market like a supply chain and define the Service Obtainable Market first. Buyer-Fit Gates reject low-fit accounts before they enter your CRM, so sales time stays on accounts your motion can actually win.
- Service Obtainable Market (SOM) mapping
- Buyer-Fit Gates and exclusion protocols
- Commercial and operational qualification criteria
Signal detection fails on stale data. We build the Evergreen CRM as a live inventory system: records are validated through Enrichment Waterfalls and stay shelf-ready so every signal that fires lands on a usable record.
- Evergreen CRM build and hygiene protocols
- Multi-source Enrichment Waterfall logic
- Revenue infrastructure and field mapping
AI agents monitor the market continuously and fire when a target account shows verified intent: a hiring spike, a leadership change, a technology install, or a funding event. The Verified Buying Window™ flags accounts when the evidence says the buyer is likely evaluating now.
- Signal tripwire configuration across source categories
- Intent intensity scoring and Verified Buying Window™
- Real-time routing logic in Clay and n8n
When a Verified Buying Window opens, Signal-Response Protocols trigger Reason-Now outreach tied to the specific event that surfaced the account. Messages go out because something changed in the buyer's world, not because it is Day 3 of a sequence.
- Reason-Now context and message personalisation
- Multi-channel orchestration (email and LinkedIn)
- Automated routing, reply handling, and handoff logic
We replace vanity metrics with pipeline velocity, signal intensity, and cost per qualified opportunity. Monthly system reviews adjust Buyer-Fit Gates, signal sources, and routing logic based on what is converting, so the architecture gets sharper over time.
- Pipeline velocity and signal attribution reporting
- Monthly system review and iteration cycle
- Expanding signal coverage as the system matures
The output is a Revenue Asset, not a retainer. Unlike a campaign that ends when the budget runs out, this system gets more precise as signals accumulate, producing better data, sharper targeting, and stronger pipeline with every month it runs.
Intent doesn't come from a form submission. It shows up weeks earlier, in behaviour most teams never track.
By the time a buyer raises their hand, the early-mover window has usually closed. The companies that win consistently are reaching out when a signal fires, not when a prospect gets around to contacting them. We monitor five signal categories, each implying something specific about where a buyer is in their decision process and what kind of outreach is likely to land.
- Intent signalsWebsite visits, content engagement, and search behaviour that indicates a company is actively researching a problem you solve. Because the buyer's research is already underway, outreach that references what they were looking at lands with context rather than cold interruption.
- Hiring signalsJob postings in sales ops, revenue operations, or specific tool roles reveal what a company is building before the budget is spent. Reaching out while the role is still open means your conversation can directly inform how they build the function.
- Technographic signalsChanges to a company's technology stack, whether adopting, dropping, or evaluating tools, are among the most reliable predictors of adjacent buying decisions. A stack change creates a natural reason to open a conversation about what they are trying to build next.
- Growth signalsLeadership changes, media appearances, new financial year starts, and public statements about expansion all indicate a moment where priorities are shifting. Outreach tied to a specific trigger event feels relevant rather than random, which is the difference between a reply and a delete.
- Funding signalsA funding round is one of the few moments when a company simultaneously has budget, intent, and urgency to invest in go-to-market infrastructure. Reaching out in the weeks immediately after a close, before the headcount plan is locked, is when the conversation is most likely to shape the decision.
You've seen the model. Here is what it costs to put it to work.
Every engagement is built around the Revenue Engineering Framework. The more useful question is not what it costs in isolation, but what it produces relative to what you are currently spending on activity that isn't compounding. Every engagement is scoped to your starting point, your existing stack, and where you want the system to take you.
The right starting point if you want a clear picture of what a Signal-Led Growth system would look like in your business before committing to a retainer. We define your Service Obtainable Market, identify your highest-value signal sources, and map the gaps in your current motion across data, outreach, and CRM.
- Service Obtainable Market mapping and Buyer-Fit Gate definition
- Signal source identification across your market
- Gap analysis across data, outreach, and CRM
- Recommended tool stack and integration map
- Prioritised 90-day action plan
The full Revenue Engineering Framework operating at an entry-level scope. We build your Evergreen CRM, configure your Agentic Signal Listening stack, and run Signal-Response Protocols that trigger outreach when a Verified Buying Window opens. From month one, your pipeline motion is running on signals rather than schedules.
- Buyer-Fit Gates, ICP scoring model, and exclusion logic
- Evergreen CRM build with Enrichment Waterfall configuration
- Agentic Signal Listening across three to five signal categories
- Signal-Response Protocols with Reason-Now outreach, configured to your buyers and channels
- Revenue Scoreboard reporting and monthly system iteration
- Internal workflow documentation so the system is yours to own
For businesses that want the Revenue Engineering Framework running across their full go-to-market function. We take ownership of the architecture, tooling, and execution across inbound, outbound, and CRM health, with senior-level oversight and a fortnightly iteration cycle as your market and priorities evolve.
- Everything in Signal Starter, expanded across full GTM scope
- Full CRM architecture ownership and continuous hygiene
- Expanded signal coverage across all five signal categories
- Unified inbound and outbound architecture under a single data layer
- Revenue team enablement: process documentation, handoff protocols, and adoption support
- Fortnightly strategy and Revenue Scoreboard reviews
Every engagement is scoped to your business. The ranges above reflect typical starting points. Data volume, tool stack complexity, CRM condition, and delivery scope all affect the final number. Fractional GTM engagements can also include AI Search visibility (GEO) as an expansion, building the inbound authority layer that compounds alongside outbound. A brief discovery call is the fastest way to understand what the right scope looks like for your situation; most take 20 minutes.