DTC Brands
Direct-to-consumer brands that sell and ship straight to the end consumer, owning the relationship and the data.
Owns the customerWho it servesThe end consumer
The end consumer
is the through-line.
End consumers (B2C) are the primary beneficiary; retail channels (B2B) carry the brand into market. DTC brands own their customer data. Wholesale brands often don't and that gap is the central strategic problem of the industry.
CPG / Wholesale Brands
Consumer packaged goods brands selling through wholesale, retail, and marketplace channels with limited end-customer visibility.
Sells through channelsRetail Channels
Wholesalers, marketplaces, big-box retailers, and omnichannel platforms that put product in front of the consumer.
Distributes the goodsThe end consumer
Outcome Stakeholder
How it serves them
Four go-to-market models, converging but not yet unified.
01
02
03
04
01
Brick-and-mortar retail
Physical store networks where category management, in-store experience, and shelf placement decide whether the brand wins the visit.
Store networkCategory managementIn-store experience
02
E-commerce and DTC
Owned digital channels where direct customer relationships and first-party data turn every transaction into a signal the brand can act on.
Owned digitalDirect relationshipsFirst-party data
03
Wholesale and marketplace
Third-party distribution through retailer and marketplace relationships, where end-customer visibility is mediated by the channel.
Third-party distributionRetailer relationshipsChannel intelligence
04
Consumer goods
Brand manufacturing, portfolio management, and shopper marketing, the engine that turns category strategy into shelf-ready product.
Brand manufacturingPortfolio managementShopper marketing
The product is the excuse. The relationship is the asset.
The transaction and the relationship. A purchase is a signal of preference, not just a unit of revenue. The medium is not the product. The product is the excuse for the relationship. The data is the real asset.
What we're optimizing
toward the customer.
Six targets across the relationship. The dials don't all move in the same direction. Basket pulls against margin, lifetime value pulls against acquisition cost, personalization pulls against operational scale. The customer decides the trade.
#StakeholderOutcomeDirection · Current → TargetPriority
00The customerThrough-lineBetter customer outcomes.current → buys more, stays longerTiebreaker
01MerchandisingConversionBigger basket.items/order → +N%High
02LoyaltyLifetime valueHigher customer lifetime value.$/customer → $$High
03CRMRetentionLower churn, higher retention.churn % → near-zeroHigh
04FinanceMarginHigher gross margin.margin % → +N ptsHigh
05SupplyInventoryHigher inventory turn.days on hand → fewer daysHigh
06MarketingConstrainedPersonalization at million-customer scale, without a million people doing the treating.manual one-to-one ↔ true individualizationConstrained dial
The throughline
Close the loop between customer signal and inventory decision.
Every retail and CPG business is trying to know the customer better than the customer knows themselves: predicting what they want before they search for it, reducing friction in the path to purchase, holding inventory only for what will actually move. The firms that win close the loop in near-real-time.
01 · What's known
The data fabric
- POSTransactional
- Web & app behaviorBehavioral
- Loyalty programFirst-party
- Supply chain signalsNetwork
- Third-party market dataExternal
zeb + you
We build the resolving layer
03 · What gets decided
The decision
- Demand forecastBefore stock-out
- PersonalizationAt customer scale
- Assortment optimizationShelf & site
- Supply chain compressionDays → hours
- Markdown & promotionBefore margin loss
Where zeb connects.
The Engagement
= Reshaping toward this orbitNot configuration
The work itself
= Reshaping toward this orbitNot configuration
The work itself
01 · Source systems
where commerce and customer data originate
POS · Shopify · Salesforce Commerce · ERP · Loyalty · CDP · Supply planning · Marketplace APIs02 · Data fabric & ontology
the unifying schema across channels and customers
Customer identity graph · Product taxonomy · Demand signal · Supplier ontology03 · Workflows
demand to fulfillment, acquisition to win-back
Demand sensing → Planning → Merchandising → Fulfillment → Loyalty04 · Value chain handoffs
where channels and lifecycle stages disconnect
Supplier → DC · DC → Store · Marketing → Merch · Online → OfflineFeatured Retail & Consumer Goods Stories
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