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Performance Marketing

We treat paid acquisition like a discipline, not a media-buying exercise. CAC and LTV get modeled before a dollar moves, every channel earns its budget against a control, and every dollar spent can be traced back to a pipeline outcome.

What We Build

Paid Acquisition Strategy

We work out the acquisition plan before we touch a single campaign: channel mix, budget pacing, audience segmentation, and a creative testing rhythm, all held against a unit-economics ceiling so growth stays profitable, not just loud.

→ Channel Mix Modeling
→ Budget Pacing Logic
→ Audience Segmentation
→ Creative Test Cadence

CAC / LTV Modeling

We build cohort-level unit economics before spend commits, not after the fact when the story's already written. Payback period, contribution margin, and LTV:CAC ratio become live inputs to how budget gets allocated, updated as each cohort matures.

→ Cohort Payback Curves
→ Contribution Margin Models
→ LTV:CAC Threshold Gates

Channel Testing

Structured tests across search, social, and programmatic, run with real statistical rigor and a control budget held back so you know what actually worked.

Search
Brand and non-brand campaigns built around real intent tiers, tight negative-keyword hygiene, and a hard focus on Quality Score.
Social
Meta, LinkedIn, and TikTok programs built on fast creative iteration and audience exclusions that stop you from bidding against yourself.
Programmatic
Demand-side platform buys layered onto your own first-party audiences for retargeting and lookalike expansion, at a frequency we actually control.
Attribution
Multi-touch attribution and server-side tracking built to survive cookie deprecation and ad blockers, tied directly to your CRM pipeline.

What Disciplined Spend Produces

Directional figures from performance marketing engagements over the past 24 months, split by business model, because a blended average hides more than it shows. Full engagement detail lives in our case studies.

−34%
B2B SaaS: average CAC reduction within the first two testing cycles
−41%
DTC / marketplace: average CAC reduction within the first two testing cycles
3.1x / 3.6x
Median LTV:CAC post-optimization — B2B SaaS / DTC & marketplace
45d
Typical time from kickoff to first statistically significant test read, both segments

Directional, not guaranteed — every business starts from a different baseline. See Work for the engagement-level detail behind these numbers.

How Engagements Run

Every performance marketing engagement follows the same sequence: model the economics first, test with discipline, then scale only what the data has already proven works.

Economics & Baseline

We build the CAC/LTV model, audit whatever attribution you already have, and set the spend ceiling before a single campaign gets touched.

Structured Testing

Controlled tests across search, social, and programmatic isolate what actually moves CAC, not what just looks good on a platform dashboard.

Scale & Attribution Lock-In

Winning channels get the budget; attribution gets hardened so every dollar stays traceable as spend scales up.

Pairs Well With

Go-to-Market Strategy
GTM Strategy
The positioning and channel priorities that performance marketing spend gets pointed at.
Retention & Ops
Growth Systems
The lifecycle flows, lead scoring, and process work that turn paid traffic into pipeline after the click.
Further Reading
Metrics That Matter
Why blended CAC and LTV numbers are close to useless, and what cohort-level reporting looks like instead.

Let's model your unit economics before we touch a budget

No pitch, no pressure. Just clarity on what your CAC and LTV can actually support, and whether a project sprint or an ongoing performance retainer is the right fit. Scope and pricing depend on channel mix and testing cadence, so we work that out together on the call rather than guessing at it here.

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