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DeepMiner or an enterprise CDP
An enterprise CDP unifies customer profiles from many systems and usually comes with an implementation project, integrations and data governance. DeepMiner has a more direct scope: it imports the datasets your operation already has, creates indexes with a schema, triggers enrichment and messaging providers, receives the result on the record and lets anyone on the team ask the data questions and build dashboards.
Side by side
What each option solves.
Yes, partial or no, with an explanation for each case.
| Criterion | DeepMiner | Enterprise CDP |
|---|---|---|
| Unify customer identity across systems | Partial Each dataset is an index, and the assistant cross-references summarized analyses between indexes. | Yes It is the central goal of a CDP. |
| Start with files that already exist | Yes CSV, XLSX, JSON and NDJSON, with a schema inferred from a sample. | Partial It usually calls for integrations with the sources first. |
| Ask the data in natural language | Yes An AI assistant with a chart and a visible query. | Partial It depends on the product and the module you contract. |
| Trigger messaging and enrichment providers | Yes SMS, RCS and enrichment, with scheduled flows. | Partial Many activate channels through integrations with other tools. |
| Send result on the record | Yes A webhook per provider, with status and history on the record. | Partial It depends on how channel events are integrated. |
| Visible balance and consumption | Yes Prepaid balance, pay-per-use debits and a statement, with the balance in real time. | Partial It usually follows a license agreement. |
Different scopes
An enterprise CDP is an architecture decision for the company: it connects systems, resolves identities and feeds other tools. DeepMiner is an operations decision: it takes the datasets your team uses to reach customers and puts analysis, sending and results in the same place.
What weighs in the choice
The size of the problem weighs. When the pain is not knowing who is the same customer across several systems, the path is a CDP. When the pain is segmenting this week’s data, sending on the right channel and knowing who received it, DeepMiner solves it with the datasets that already exist.
Using both
The two coexist. The CDP keeps the corporate view of the customer, and DeepMiner receives the segments your operation will reach out to, by file or through the API, with the result returning to the record.
Frequently asked questions
DeepMiner or an enterprise CDP
Is DeepMiner a CDP?
It covers part of what a CDP does: it brings customer data together, segments and triggers channels. It does not aim to solve the single customer identity across all of the company's systems.
Can I use DeepMiner alongside a CDP?
Yes. The CDP can export segments to DeepMiner, by file or through the API, for outreach and for tracking the result.
How long does it take to get started?
The first step is to import a dataset and define the schema from a sample. In the demo, we show the path with your own data.
See DeepMiner working on your data.
Book a demo and watch a dataset get indexed, enriched and queried.