Solutions · B2C · Marketplaces

Growth on both
sides of the network.

Marketplaces have two customers — suppliers and buyers — and one has to grow ahead of the other. We build acquisition and retention systems for both sides on one attribution model.

Commercial model

Liquidity is the product.

A marketplace is only as valuable as its liquidity — supply density in the right categories and geographies, matched with buyer demand at the right moments. Get the balance wrong and both sides churn. Get the attribution wrong and you can't tell which side is starving.

Why this hits revenue and risk

Take rate is only meaningful with liquidity.

  • Buyer churn from empty search results is invisible in aggregate retention metrics
  • Supply-side acquisition treated as ops rather than marketing means it never gets modelled honestly
  • Category and geo imbalance destroys unit economics long before it shows on the P&L
  • One-sided growth targets — GMV or buyer count alone — encourage the wrong investments
Audience & operating model

Who this is built for.

Two-sided marketplaces from Series A to scale — services, product, rental, freelance, event, education — where GMV, take rate and repeat use decide unit economics. Typical stack is a bespoke platform plus HubSpot or Salesforce for supply-side BD, plus paid demand acquisition on Google, Meta and increasingly TikTok.

Two-sided by design

Liquidity is the product.

Supply side
Suppliers · sellers · providers

Acquired, verified, activated by category and geography

Matching · Liquidity
Category × geo × moment

Where liquidity is either present or missing

Demand side
Buyers · consumers · guests

Acquired against categories with supply density

Completed transaction
First successful booking, order or match

Reconciled to source and category

Repeat use · Retention
Repeat use on both sides

Buyer LTV and supplier retention as separate programmes

One-sided acquisition metrics hide the real question: where is liquidity present and where is it starving? Attributed builds acquisition and retention systems for both sides on one attribution model — with cohort LTV and take-rate contribution modelled per side.
Typical growth leaks

Where marketplaces stall.

  • Buyer acquisition running ahead of supply — buyers churn on empty results
  • Supply-side acquisition treated as ops, not marketing — no attribution model
  • Category / geo imbalance uncaught because reporting aggregates them
  • Take rate and unit economics not modelled per side of the network
  • Retention treated as a product problem, not a marketing one
  • Supplier onboarding drop-off invisible to marketing — verified suppliers never activate
Connected system

What Attributed builds.

Acquisition + Activation
  • Buyer-side paid and SEO calibrated to category and geo supply density
  • Supply-side acquisition as a measurable channel, not an operations task
  • Onboarding for both sides tied to first-transaction events
  • Landing pages and category pages built for both audiences
Retention + Intelligence
  • Cohort LTV per side of the network — buyer and supplier separately
  • Take rate and contribution margin modelled by category / geo
  • Liquidity dashboards reconciled with paid spend
  • Weekly view of supply-demand balance for commercial leadership
Senior operators own it

Who does the work.

A senior marketplace strategist owns the balance between sides. A senior paid operator runs demand acquisition against supply density. A senior BD or supply operator owns supplier onboarding as a measurable channel. A senior data operator maintains the liquidity view with commercial leadership.

Findings, Recommendations & Alerts

What Intelligence surfaces for marketplaces.

  • Findings — categories/geos where demand is scaling into empty supply; supply cohorts that never activate
  • Recommendations — where to reallocate paid demand vs supply-side investment, per category
  • Alerts — liquidity collapse in a category, supplier churn spikes, buyer contact-rate drops
  • Implementation Packs — liquidity dashboard rollout, supplier onboarding rebuild, category-level bid restructure
Implementation priorities

Where we go first.

  1. 1
    Publish the liquidity view

    One reconciled view of supply density × demand by category and geography, refreshed weekly.

  2. 2
    Rebuild demand bidding against supply density

    Where supply is thin, cool demand acquisition; where supply is dense, scale honestly.

  3. 3
    Treat supply-side acquisition as a channel

    Instrument, budget and measure supplier acquisition alongside buyer-side media.

  4. 4
    Redesign supplier onboarding around first transaction

    Verified but inactive supply is a hidden liability; activate before scaling verification.

  5. 5
    Model take-rate contribution per side, per category

    Unit economics don't live at aggregate GMV — they live per side, per category, per cohort.

QA & validation

How we know it moved.

  • Liquidity metrics reviewed with commercial leadership weekly — not left in a product dashboard
  • Every material bid or budget change scoped as a Pack with a liquidity-aware success metric
  • Supply-side cohorts measured on active transacting suppliers, not on sign-ups
  • Category and geo bans applied where liquidity is structurally absent — never scaled through
Success metrics

What we report against.

Primary
GMV by category and geo, attributed to source
Liquidity
Supply density : buyer demand ratio
Efficiency
Blended CAC and take-rate contribution
Retention
Repeat rate per side of the network
Connected system

One attribution model, two sides of the network.

Acquisition

Buyer-side paid calibrated to category and geo supply density — supply-side treated as a measurable channel.

Activation

Onboarding tied to first-transaction events on both sides of the network.

Retention

Buyer LTV and supplier retention run as distinct programmes with their own economics.

Intelligence

Liquidity, take rate and contribution margin reconciled by category and geo — weekly, not quarterly.

Book a Growth Review.

Bring your marketplace data. We'll walk through where supply and demand are out of balance and how to attribute against it.