Add an AI delivery layer — so capacity and depth stop being a hiring race.
02Do the work of a whole agency, as one person, without building the machine yourself.
03Punch above your size — a consumer-grade model wrapped in a real ecosystem.
04Senior-led AI capability that stands up in days, not quarters — with ownership built in.
Hire a dedicated marketer or team — AI-superpowered — from a simple starter plan upward.
02Scoped to a specific project or goal, priced to the outcome you want to hit.
03Pay for defined work, gated on a quality bar you set — flexible and lean.
Finally accountable,
Performance marketing measured against the metric you're actually judged on — LTV:CAC, payback period, blended ROAS, contribution margin — not the vanity metrics agencies hide behind. Work-first, fixed-plus-variable economics. We own the number.
Most performance work is one channel optimised in isolation. The lift compounds only when paid, conversion, attribution, and lifecycle are operated as one ecosystem — measured against one truth.
It's not anyone's fault. Performance has been treated as a channel-optimisation problem — more A/B tests, more creative, more spend on the winning channel. The deeper work that would actually make performance compound sits across disciplines no single team holds. Until the depth is there, performance is a treadmill.
Performance has been treated as a tactic, not a system. Channel teams optimise channels. Data teams build dashboards. Finance owns LTV math. Engineering owns attribution. The work that connects them — the depth that lets you know which dollar of spend is actually compounding — has no home. So it doesn't happen, and the lift stays one inch deep.
An AI ecosystem. Fundamentals, senior judgement, and AI configured into a system that holds LTV/CAC math, channel attribution, segment cohorts, and lifecycle economics in one place — connected, not siloed. Performance you can underwrite, because the depth underneath is real and the math is the same on both sides of the table.
An AI ecosystem is AI configured by fundamentals, directed by senior people, and stitched into a system that holds knowledge, sequence, and preparation in place — as opposed to AI used as a standalone tool. It takes months and years to build. It is why the early-mover advantage compounds.
We own the number you're judged on — end to end, with skin in the game. Not deliverables. The outcome.
Reciprocity. A 20-year operating ethic embedded in the name: build for others as you would for yourself.
Frameworks · 50+ industries of pattern recognition · full-stack delivery · multiplied by AI that makes maximum-dimension coverage scalable. Human-in-the-loop throughout.
Fixed-plus-variable on every engagement, a portion held against quality. Plus the 5-Day Experience — see the work before you commit.
Don't imagine what performance with depth looks like for your business. See it — on your actual numbers, your actual funnel, your actual category — in five working days.
A 60-minute call. We agree the metric you're measured against, the accounts and data we'll work in, and what you'll see by Day 5. No pitch, no slides, no commitment.
We rebuild your LTV/CAC truth from raw data, audit your current channel mix and attribution, map the depth gaps in your performance stack, and ship the first round of high-leverage interventions. On your accounts, your numbers, your funnel.
You see the work. You judge whether the depth is real. If yes, we talk about engagement. If no, you keep the work — there's no charge.
Sample Documents are anonymised client-facing deliverables — the actual artefacts a performance engagement produces. The output is shown; the internal method that produces it stays the moat.
Anonymised cohort analysis showing the gap between reported and actual LTV:CAC, with payback-period correction and segment-level math.
View sample →Cross-channel attribution rebuild, contribution analysis by stage, and the sequenced intervention plan that produced the lift.
View sample →The actual Day-5 artefact from a Series-B fintech performance engagement: rebuilt LTV math, channel-mix recommendation, next-90-day plan.
View sample →Selectivity is part of the work. Here's who this engagement fits — and who it doesn't.
High-intent paid across every platform with margin discipline. Conversion optimisation across the full funnel. Retargeting that respects payback period. Measured against the KPI on day one, not at quarterly review.
Owned content, lifecycle, organic + AEO presence — the compounding work that lowers blended CAC over time. The slow work that bends the curve while you're busy capturing the in-market demand.
Hire a dedicated marketer or team, AI-superpowered, backed by the full ecosystem and knowledge base. One operator's output exceeds a small team, at a fraction of the cost.
From a starter plan upwardA defined performance goal with flexible work underneath, priced to the outcome. Start with a starter package; after 3–4 months we recommend the right pricing.
Goal-pricedOne defined deliverable; tell us the task and we price it. The simplest way to start small.
Per-task pricingWork-first. We deliver, then charge. A portion held against quality, every engagement.
Performance marketing is paid acquisition and conversion work measured against the metric you're actually judged on — typically LTV:CAC, payback period, blended ROAS, and contribution margin — rather than channel-level vanity metrics like impressions or CTR. Real performance work touches paid acquisition, conversion optimisation, attribution truth, LTV cohort analysis, and lifecycle — operated as one ecosystem against one definition of success.
Most data-driven agencies optimise dashboards. AI-powered agencies optimise prompts. A performance ecosystem rebuilds the underlying math — LTV by cohort, CAC by segment, attribution honest enough to underwrite — and then runs paid against the truth, not the dashboard. The difference is that the depth gets done. Without it, more channels and more A/B tests don't compound; they just spend faster.
The metric you're actually judged on by your board or your CFO. For most B2B SaaS that's LTV:CAC and payback period; for D2C it's blended ROAS at a target contribution margin; for marketplaces it's acquisition cost against verified lifetime value. We agree the single KPI before work starts — and operate everything against it.
Not if your in-house team has the depth — fundamentals, senior judgement, channel breadth, attribution honesty, and the time to build all of it without losing the BAU. In our experience, most in-house teams have two of the five. The right model is rarely full outsource; it's usually an ecosystem on top of your team that closes the gaps and compounds with them.
Day 0 scopes the metric you're measured against and the accounts and data we'll work in. Days 1-4 produce an LTV:CAC truth rebuild from raw data, an honest channel-and-attribution audit, a depth-gap map for your performance stack, and the first round of high-leverage interventions. Day 5 is the reveal — you see the work, judge whether the depth is real, and decide if you want to engage. No upfront fee.
A predictable base fee covers the standing work — team, ecosystem, recurring deliverables. A variable component is tied to the agreed performance KPI — paid only when the work clears the target. A portion of the fixed is held against quality; if a deliverable misses, the held portion is forfeit. Skin in the game on both sides, universal across all three engagement models. Specific percentages are configured per engagement.
Quick wins on paid efficiency typically show within the first 30-60 days — fixing attribution, killing low-quality spend, re-allocating against truth. Compounding lift on the actual judged KPI (LTV:CAC, payback period) is a 90-180 day arc, because real performance work involves rebuilding the math underneath, not just the campaigns on top. Anyone promising material compounding in two weeks is selling you something else.
Three engagement models — Build a dedicated team (a senior operator and supporting ecosystem), Project & goal-based (a defined outcome priced to the goal), and Task & quality-driven (a single deliverable per task). All three operate work-first with fixed-plus-variable economics — we deliver, then charge; a portion is held against quality. Specific pricing is configured per engagement and shared on the Day 0 call.
Deep, performance-focused pages built for specific industry × cluster combinations. This is where the ecosystem becomes most specific — and the math underneath this page becomes visible.
Built TechShu over 15+ years across 50+ industries. Now operating techshu.ai — the AI-era avatar — where AI does the heavy lifting and senior judgement directs every output. The 5-Day Experience is run personally; the Day 0 call is the same person who scopes and ships the work.
Try the ecosystem on your actual numbers, your actual funnel, your actual category. If the depth isn't real, you keep the work — and we move on.