CRM and marketing
Cross portfolios without writing SQL
For CRM and marketing teams who live between CRM exports, spreadsheets and the messaging provider's panel. In DeepMiner, each dataset becomes an index, segmentation comes from a natural-language question or from filters, sending by SMS or RCS becomes a scheduled flow and the result of each send returns to the customer record.
What holds you back today
Where the operation stalls and what changes.
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Your data is scattered
Today
Customers in the CRM, purchases in the e-commerce store, leads in a spreadsheet. Cross-referencing means exporting everything and joining it by hand.
With DeepMiner
Each dataset comes in as an index, in CSV, XLSX, JSON or NDJSON, and the assistant compares indexes in the same question.
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Every segmentation becomes a request to the data team
Today
Whoever plans the campaign describes the audience, waits for the query and gets a list that is already out of date.
With DeepMiner
You ask in natural language, see the chart and turn the cut into strategy filters with the expected count.
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The campaign goes out and the result stays in the provider's panel
Today
The delivery status sits in another system and comes back, when it does, in an export.
With DeepMiner
Each provider's webhook updates the status on the customer record, with the history of the latest events.
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Nobody remembers who already received it
Today
The same person gets the same message twice, because the lists do not talk to each other.
With DeepMiner
The strategy has an option to not resend to anyone who already received on that channel.
What the routine looks like
The path inside DeepMiner.
Import the datasets that are scattered today and define each index's schema from a sample.
Ask the assistant who makes up the audience and check the chart before deciding.
Create the strategy with the filters, the SMS or RCS provider and the recurrence.
Follow the run and check each send's result in the index's record list.
The features that matter most
Three features that make the difference for this profile.
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AI on your data
Ask in natural language. The assistant queries your indexes and returns the answer with the chart.
See the feature -
Flows and automation
Strategies with filters, provider and recurrence. Each send becomes a tracked run.
See the feature -
Providers and channels
Enrichment and sending by SMS and RCS, configured per partner and linked to each index.
See the feature
Who it is for
CRM, marketing and customer relationship teams that plan campaigns on customer data and depend on other areas to segment and measure. If the week starts with a list request and ends with a status export from the provider, DeepMiner joins those two ends.
What changes in the routine
Segmentation comes out of the conversation with the AI assistant. “Gold and Platinum customers in SP who opted in to marketing” becomes a chart and then a flow strategy with the same filters and the expected count.
Sending stops being a manual upload to the provider’s panel. The strategy runs at the recurrence you set, each run shows sent messages, failures and the amount debited, and the status of each send returns to the customer record.
Frequently asked questions
CRM and marketing
Does DeepMiner replace my CRM?
No. The CRM remains the place for the relationship. DeepMiner receives datasets exported or sent through the API, cross-references them with other sources and triggers providers.
Can people who do not know SQL segment?
Yes. Segmentation comes from a natural-language question to the assistant or from the strategy filters, with operators such as is one of, contains and between.
Which channels can I use?
SMS and RCS come ready, along with data enrichment. The platform administrator can register other providers that expose an HTTP API.
How do I see the result of a campaign?
The status of each send returns through the webhook to the record, and the run shows sent messages and failures.
See DeepMiner working on your data.
Book a demo and watch a dataset get indexed, enriched and queried.