Case study: an AI marketing strategy platform for a web service

Industry
Marketing and web services
Area
AI platform
Technology
Language models · Documents · Client area

A marketing web service with a client area.

  • 8workstreams
  • Weeks to hoursto prepare a strategy
#

Context

A marketing strategy requires going through the market, competitors and audience by hand, and that takes weeks. The business also needs a working tool with versions, change history and export rather than just a document. And the result has to be ready to launch as it is, complete with a media plan, budgets and promotion channels.

#

Task

Build a platform that helps a business automatically assemble tailored marketing strategies from an analysis of the market, competitors and target audience.

#

Implementation

  • Platform and client area: designed as a working tool for marketers, with strategy storage, versioning and document export
  • Strategy creation flow: the user goes through the steps, data is gathered, and the market, competitors and target audience are analysed automatically
  • Document assembly: a structured document with recommendations, a promotion plan and a media plan, on the web and as a PDF
  • A built-in assistant inside the strategy: follow-up questions, change history, adding material directly in the platform
  • Search demand data: month-by-month query dynamics with a year-on-year comparison, collected and calculated automatically
  • Competitor review: proposition, sales volumes, positioning, visual identity and product comparison in one table
  • Media plan with budget: a weekly promotion plan listing channel, task, budget and expected result
  • Infrastructure and data storage

In production since 2026.

#

Results

  • The business goes through the flow, describes itself and gets a finished strategy
  • Market analysis, document assembly and version control sit in one place
  • The system prepares a media plan with budget and channels, ready to launch as it is

Tell us what needs to work better

A short description is enough to start. We will clarify the data, workflow, and success criteria together.

Your request goes directly to our team.

Task
Or write directly
contact@dzeta.ai