Observed Signal · Jun 5, 2026 · Campaign Case Study · Source: persoenlich.com News · Impact: 2/5 · Sentiment: Positive
Agency Uses AI and DCO to Halve Cost Per Lead
Swiss creative agency DD Com and media agency Konnex updated window manufacturer 4B’s existing B2C campaign using predictive and generative AI plus a hybrid image‑editing workflow. They developed distinct messaging and tonalities for two target groups and produced new key visuals from a five‑year photo pool in coordination with the original subjects. 4B deployed Dynamic Creative Optimization (DCO) to combine five visuals and five headlines into 125 variant permutations, served across Meta, native ads, programmatic banners, TV and print. According to the advertiser, Cost per Lead fell 46% year‑on‑year in Q1 while lead rate remained high and production costs decreased. The company notes DCO raises creative volume, setup complexity and monitoring needs, and cites a macro tailwind (planned Eigenmietwert abolition in 2029) supporting demand for home renovation services.
Shows a measurable case where predictive/generative AI plus DCO substantially reduced CPL (46%)—useful best practice for marketers and agencies but limited to a single brand/campaign.
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Key Takeaways & Evidence Grounding
- DD Com (creative agency) and Konnex (media agency) jointly enhanced 4B's B2C campaign using predictive and generative AI.
- Creative workflow used a hybrid approach: generative AI plus traditional image editing based on an existing five‑year photo pool.
- 4B used Dynamic Creative Optimization (DCO) to auto‑combine 5 visuals and 5 headlines into 125 possible ad variants.
- Channels used: Meta, native ads, programmatic banner ads, TV and print.
- 4B reports a 46% year‑on‑year reduction in Cost per Lead in Q1 with unchanged lead‑quality metrics and lower production costs.
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