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How to do database marketing?

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  • Latest Post Latest Post by nastya.petrenko
nastya.petrenko commented: Database marketing is a form of direct marketing that uses customer data to generate targeted marketing communications. +0

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Good question - and thanks for the succinct definition. Below is a short, practical plan to go from "what" to "doing" database marketing, plus common pitfalls and a compliance note.

Define goals and KPIs (example: retention, repeat-purchase rate, conversion, cohort LTV) and time-box them. Centralize data: bring CRM, transactions, web events, support logs, and ad data into one platform (CRM or CDP). Clean and enrich: dedupe, validate emails/phones, normalize fields, and append behavioral tags. Start with simple, measurable segments: lifecycle (new / active / at-risk), an RFM split, and a high-value cohort. Map personalization to channel: email for lifecycle programs, SMS for urgent/transactional, paid channels for re-acquisition. Automate a few core flows (welcome, cart-abandon, win-back), A/B test creatives and cadence, and use a holdout group to estimate true incremental lift. Measure and iterate: track channel ROI, churn, and cohort LTV; cadence for iteration depends on volume (weekly for high-volume, monthly for lower).

Common pitfalls: buying lists, ignoring consent, and over-engineering segmentation before data quality is fixed. For current UK marketing and consent guidance, see the ICO direct-marketing guidance. (ico.org.uk) For a concise overview and history of the practice, see the Wikipedia entry on database marketing. (en.wikipedia.org)

If the industry, tools, or list size are shared, one or two concrete segments and a simple automation flow can be suggested next.

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Database marketing is a form of direct marketing that uses customer data to generate targeted marketing communications.

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