What closed in Q4 — and what we’d run differently next time.
Six accounts, $18.4M in pipeline, four channels. The honest breakdown of what compounded and what plateaued.
Entangle connects your paid media to your pipeline. When a lead closes, that data feeds back into every campaign. Every month, the system gets smarter.
No credit card · 90-day pilot · Break clause after month two
Trusted by founders & growth teams across AU, NZ & the US
Acquire builds the audience. Convert qualifies and books revenue. Compound feeds what it learns back into Acquire. Click any layer for the detail. Hover any node to see the path it touches across the system.
Five sources, one operating system. Each campaign reads from the same ICP, the same exclusion list, and the same closed-deal model. The handoff to Convert is one row in the same table — there is no leakage between funnel and CRM.
Pipeline. Audience flows. Revenue attribution. One workspace, three views — wired to your CRM, your ad platforms, and your finance system. No monthly deck of impressions. No quarterly reveal. Live numbers, all the time.
Each closed deal makes the next one cheaper. Lead quality climbs because the system stops chasing form-fills and starts chasing buyers. Volume holds because suppression frees budget for lookalikes. Revenue compounds because the model gets sharper with every cycle.
Real data, anonymised. Series-B B2B SaaS. Same $42K monthly programmatic spend, January through December. The compounding effect is the audience model retraining on every closed deal.
Media, creative, conversion, tracking — under one roof. One channel, one accountability structure, one weekly thread on your account. When something breaks, it’s our problem — not a finger-point between three vendors who blame each other.
Most agencies run your budget until it’s gone, then start fresh next month. We compound: every quarter the system holds onto more — cleaner data, sharper audiences, richer creative, tighter attribution. By Q4, the same dollar of spend is doing four times the work it did in Q1.
Drag the timeline. The spend bar never moves. Everything else does — quality, volume, revenue, ROAS — because the system retrains on every closed deal.
The simulation here is built from real B2B SaaS data: 52 weeks, one anonymised Series-B account, $42K monthly programmatic spend held constant. Quality, volume, and revenue diverge because the audience model retrains on every closed-won deal. By Q4, the system is hunting in a tighter pond than it was in Q1 — same dollars, different yield.
They rebuilt our account in week one and tripled our pipeline by quarter two. We’ve never worked with an agency that cared about our revenue more than their retainer.
Six accounts, $18.4M in pipeline, four channels. The honest breakdown of what compounded and what plateaued.
Why every form longer than four fields is leaking pipeline — and the progressive profiling pattern we use to fix it.
Multi-touch sounds rigorous. It usually isn’t. Here’s the server-side pattern that ties spend to closed revenue.
Tell us what you’re working with. We’ll show you what the system looks like for your business — before you commit to anything.
A$30K–$500K monthly spend · AU, NZ, US · Founded in Melbourne