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Case Study · Retail & E-Commerce

Mid-market furniture retail,built as a performance operation.

How Digital Maker took Google Ads management for a DACH-wide furniture retailer beyond the standard dashboard with MCP-powered analysis — continuously optimized on deeper data.

/ client
Möbel-Style
/ industry
Furniture retail · E-commerce
/ location
DACH
/ engagement
Performance · ongoing

Established furniture retail,with a fragmented digital setup.

Möbel-Style is a mid-sized furniture retailer in the DACH region with grown e-commerce operations. Solid product range, loyal customers, in-house logistics. The Google Ads campaigns had been running for years — budget flowing, clicks coming in. But the management ended where the Google Ads dashboard ends.

The actual problem
The standard dashboard shows clicks, costs, conversions — but not which search terms burn money, which product groups actually bring margin or where budget is misallocated. Möbel-Style had campaign activity, but no real basis for analysis.

Möbel-Style needed no additional standard agency, but a performance partner who analyzes the ads data deeper than the dashboard allows — and derives concrete optimizations from it. That's exactly what we built.

Three layers,one real basis for analysis.

Instead of reading off the dashboard, we made the Google Ads data directly accessible via MCP servers — analyzable, comparable, transferable into our own reports.

  • 01

    Google Ads — operationally managed

    Campaign structure, keywords, bids, budget — the ongoing management of the Google Ads accounts sits entirely with Digital Maker. No black box, no intermediary service provider.

  • 02

    MCP-powered analysis — deeper than the dashboard

    Via MCP servers we access the Google Ads data directly and analyze it independently: search terms, product groups, devices, times of day. Reports and analyses the standard dashboard doesn't deliver this way.

  • 03

    Optimization from real data

    The analyses turn into concrete interventions: reallocating budget, excluding weak search terms, scaling strong product groups. Continuously optimized — not once a quarter, but based on what the data shows.

/ Stack used in this project
google-ads-api mcp-server claude-api python google-cloud

Marketingthat operates as a business function.

More visibility than the dashboard

Search terms, product groups and budget allocation are no longer trapped in the dashboard interface — they can be freely analyzed, compared and transferred into custom reports.

Clear performance visibility

Management knows daily which campaign, which product and which channel brings revenue — and which doesn't. Decisions instead of reportings.

Optimization instead of administration

Instead of merely administering campaigns, they're continuously adjusted. Weak search terms get cut faster, strong product groups get more budget — based on data, not gut feeling.

For years we looked at the Google Ads dashboard and thought that was all there was. Today we see which search terms actually bring revenue — and the budget moves to where it works.

— Möbel-Style, DACH

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