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None are genuinely owned by you. A fragmented information ecosystem where: are never ever captured in an unified view in ad invest is squandered due to attribution gaps report they "don't trust their own information" When Facebook changed its algorithm in 2023, thousands of brands saw over night drops of 40-60% in organic reach.
This is the cost of leasing intelligence instead of owning infrastructure. Cost CategoryAnnual Impact per EnterpriseMigration work and lost historic contextPerformance volatility that is tough to explainBudget increases tied to use and agreement changesReview, remediation, and enforcement exposureReplacement and re-integration workMust be designed from the business's own agreements and running data AI marketing infrastructure is.
They serve very various tasks. CapabilityCustomer Data Platform (CDP)Marketing Automation (HubSpot, Marketo)Demand-Side Platform (DSP)AI Marketing InfrastructureUnify customer recordsSend campaigns, score leadsBuy advertisement inventoryOwn the full information choice 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 desire 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 due to the fact that the intelligence layer that connects them together does not exist as an item you can purchase off the shelf. No. A CDP holds information; facilities chooses what to do with it, carries out the choice in genuine time across every channel, and describes the reasoning.
