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None are truly owned by you. A fragmented data ecosystem where: are never ever recorded in a combined view in ad spend is squandered due to attribution spaces report they "don't trust their own information" When Facebook altered its algorithm in 2023, thousands of brands saw over night drops of 40-60% in natural reach.
This is the expense of leasing intelligence instead of owning infrastructure. Expense CategoryAnnual Impact per EnterpriseMigration work and lost historical contextPerformance volatility that is challenging 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 facilities is.
They serve very various jobs. CapabilityCustomer Data Platform (CDP)Marketing Automation (HubSpot, Marketo)Demand-Side Platform (DSP)AI Marketing InfrastructureUnify client recordsSend campaigns, rating leadsBuy ad inventoryOwn the complete data 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 design)Sewing 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.
Robust Automated Marketing Infrastructure for Growth
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 ties them together does not exist as an item you can buy off the rack. No. A CDP holds information; infrastructure decides what to do with it, executes the choice in real time across every channel, and discusses the thinking.
