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None are genuinely owned by you. A fragmented data ecosystem where: are never ever captured in an unified view in ad invest is lost due to attribution gaps report they "do not trust their own data" When Facebook altered its algorithm in 2023, thousands of brand names saw overnight drops of 40-60% in natural reach.
This is the expense of renting intelligence rather of owning infrastructure. Cost CategoryAnnual Impact per EnterpriseMigration work and lost historic contextPerformance volatility that is hard to explainBudget increases connected to usage and contract changesReview, removal, and enforcement exposureReplacement and re-integration workMust be modeled from the enterprise's own contracts and running information AI marketing infrastructure is.
They serve really different tasks. CapabilityCustomer Data Platform (CDP)Marketing Automation (HubSpot, Marketo)Demand-Side Platform (DSP)AI Marketing InfrastructureUnify customer recordsSend projects, score leadsBuy ad inventoryOwn the full information decision activation loopVendor cloudVendor cloudVendor cloudYour servers or your cloudNoneStatic rulesVendor's black-box bidderYour explainable ML modelsLimitedBatch/ scheduledAd-onlyCross-channel, sub-secondPer record/ MAUPer contact/ seat% of media spendFixed licensingHighVery highHighLow (portable by style)Stitching identitiesSMB project opsProgrammatic buyingEnterprises that want one governed system a CDP is a database, marketing automation is a workflow engine, a DSP is a media-buying tool.
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You can run a CDP, an MA tool, and a DSP side-by-side and still not have infrastructure since the intelligence layer that connects them together does not exist as a product you can purchase off the rack. No. A CDP holds data; facilities chooses what to do with it, carries out the choice in real time across every channel, and describes the thinking.
