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E-commerce and DTC M&A

Brands are worth what their customers come back for.

Acquisition cost, repeat purchase and channel dependence decide what a consumer brand is worth. Pactlab’s cohort and concentration engine already measures them — the pack adds storefront and ad-platform sources.

Planned · pack 6

Planned. Industry packs are built only after the software baseline is proven with pilot customers, in the order shown. A design partner in this sector can help shape the pack.

Illustration of a storefront, a shopping bag with a repeat arrow and repeat purchase by cohort.

Where these deals go wrong

Aggregators and roll-ups acquiring consumer and direct-to-consumer brands.

  • Acquisition cost that keeps rising

    Blended CAC hides channels that no longer pay back.

  • Repeat purchase that fades by cohort

    Lifetime value built on early cohorts may not hold for later ones.

  • One marketplace holding the brand

    Channel concentration is platform risk you inherit.

The questions that decide the deal

  • What does it really cost to acquire a customer, and what are they worth?
  • How often do customers come back?
  • How dependent is the brand on one marketplace or ad channel?

How a e-commerce and dtc deal would run

An illustrative walk through the decision loop once the pack is built.

  1. 01 · Evidence

    Storefront and marketplace orders, ad-platform spend and supplier terms.

  2. 02 · Finding

    CAC, LTV, repeat-purchase and channel findings are drafted from the order and spend data.

  3. 03 · Review

    Reviewers decide each with the cohort rows in view.

  4. 04 · Valuation

    Valuation methods apply unchanged, with unit-economics inputs.

  5. 05 · Deal terms

    Price adjustments and earn-outs linked to the unit economics.

What it finds — and what that becomes in the deal

Illustrative examples of findings and the terms they turn into. Every real finding carries citations and a named reviewer.

  • High severityExample

    Repeat purchase declining in recent cohorts

    Order history by first-purchase month

    Lifetime-value case in the valuation

  • Medium severityExample

    Majority of revenue through one marketplace

    Orders by channel

    Channel-risk adjustment

What carries over from the core

These parts of Pactlab apply to the sector as they are.

  • Cohorts

    Repeat purchase and lifetime value use the cohort machinery.

  • Concentration

    Channel and marketplace concentration uses the existing analysis.

  • Contract review

    Marketplace and supplier terms with exact citations.

  • Valuation

    Valuation methods apply unchanged.

What the industry pack adds

New sources, finding types and valuation inputs — plugged into the unchanged core.

  • Storefront and marketplace data

    Adapters for storefronts and marketplaces.

  • Ad-platform spend

    Acquisition cost from ad-platform evidence.

  • Unit-economics findings

    CAC, LTV and channel-risk findings.

What you walk away with

  • Unit economics from the source

    CAC and LTV from orders and spend, not from a summary.

  • Cohorts that show the trend

    Repeat purchase by first-purchase month.

  • Channel dependence

    Where the revenue comes from, and how concentrated it is.

Questions buyers ask

Can we use Pactlab for a e-commerce and DTC deal today?

The e-commerce and DTC pack is planned, not built. Pactlab is proving its software baseline with pilot customers first. If the target has a software business, the software modules apply today — and design partners in e-commerce and DTC help decide what the pack reads and checks first.

Buying in e-commerce and dtc?

Design partners in this sector help decide what the pack reads and checks first. Talk to us.