NATIONAL BRANDS EMBRACING A.I. & THEIR RESULTS

Verizon — A.I. assistant turns service reps into sellers

Company: Verizon A.I. use: On-screen A.I. assistant that helps customer service reps answer faster and pivot into offers/upsells. ROI impact: Sales through its 28,000-person service team up nearly 40%. Time to results: Began deploying July 2024, scaled January 2025, results reported April 2025.

Zalando — GenAI creative production: 6–8 weeks → 3–4 days

Company: Zalando (EU fashion retailer) A.I. use: Generative A.I. to produce marketing imagery ROI impact: Costs down 90% for imagery production; faster trend response driving engagement. Time to results: Production time cut from 6–8 weeks to 3–4 days.

Klarna — Weekly campaign refreshes, $10M/yr savings

Company: Klarna A.I. use: GenAI for campaign imagery + supplier reductions (translation/production/social). ROI impact: ~$10M annual marketing cost savings; $6M of that from image production; $4M from external supplier cuts; also reduced S&M budget 11% (with 37% of savings attributed to A.I.) while increasing campaigns. Time to results: Generated 1,000+ images in the first 3 months of 2024; image cycle reduced 6 weeks → 7 days.

Chime — Campaign launch time: 10 weeks → 4 weeks (and content ROI)

Company: Chime (fintech) A.I. use (marketing): AI-assisted creative production to bring creative in-house and reduce agency reliance; custom “Chime GPT” trained on top-performing blogs to scale content output. ROI impact: Creative production time down 60%; campaign turnaround cut by 6 weeks (10 → 4 weeks); content production costs down 30% and ~5% lift in organic visibility across SEO + “answer engines.” Time to results: Turnaround improvement stated as operational reality of current workflow; campaign cycle reduction quantified 10 → 4 weeks.

Mondelez — 30–50% lower marketing content production costs

Company: Mondelez (Oreo, etc.) A.I. use: GenAI tool developed to produce marketing content ROI impact: 30%–50% cost reduction in marketing content production (exec-reported). Time to results: Tool development began “last year” (relative to Oct 2025) and expected to produce air-ready short TV ads as soon as the 2026 holiday season.

Room & Board — Predictive personalization in email boosts conversion

Company: Room & Board (furniture) A.I. use: Marketing Cloud Einstein predictive content/product recommendations in email personalization. ROI impact: 150% higher conversion rate for customers engaging with predictive content and clicking to buy. Time to results: Not specified in the public write-up (impact is quantified; timeline not disclosed).

Nielsen MMM study of Google A.I. ads — consistent ROAS & sales-effectiveness uplift

Company / Study: Nielsen Marketing Mix Modeling study on Google A.I.-powered ad solutions (multi-brand study) A.I. use: AI-powered YouTube video campaigns, Demand Gen, Performance Max, Broad Match (and combinations). ROI impact (key findings): +17% ROAS vs manual for AI-powered YouTube video campaigns +23% sales effectiveness for combined AI video approaches +10% ROAS / +12% sales effectiveness when adding Demand Gen to Search + Performance Max +8% ROAS (PMax vs Search-only) and +15% ROAS (Broad Match vs other match types) Time to results: MMM is based on historical performance; the study doesn’t present “weeks-to-results” in the excerpted findings.

NATIONAL BRANDS EMBRACING A.I. & THEIR RESULTS

 

1) Verizon — A.I. assistant turns service reps into sellers

  • Company: Verizon

  • A.I. use: On-screen A.I. assistant that helps customer service reps answer faster and pivot into offers/upsells.

  • ROI impact: Sales through its 28,000-person service team up nearly 40%

  • Time to results: Began deploying July 2024, scaled January 2025, results reported April 2025
  •  

2) Zalando — GenAI creative production: 6–8 weeks 3–4 days

  • Company: Zalando (EU fashion retailer)

  • A.I. use: Generative A.I. to produce marketing imagery

  • ROI impact: Costs down 90% for imagery production; faster trend response driving engagement. 

  • Time to results: Production time cut from 6–8 weeks to 3–4 days

 

3) Klarna — Weekly campaign refreshes, $10M/yr savings

  • Company: Klarna

  • A.I. use: GenAI for campaign imagery + supplier reductions (translation/production/social).

  • ROI impact: ~$10M annual marketing cost savings; $6M of that from image production; $4M from external supplier cuts; also reduced S&M budget 11% (with 37% of savings attributed to A.I.) while increasing campaigns. 

  • Time to results: Generated 1,000+ images in the first 3 months of 2024; image cycle reduced 6 weeks 7 days
  •  

4) Chime — Campaign launch time: 10 weeks 4 weeks (and content ROI)

  • Company: Chime (fintech)

  • A.I. use (marketing): AI-assisted creative production to bring creative in-house and reduce agency reliance; custom “Chime GPT” trained on top-performing blogs to scale content output.

  • ROI impact: Creative production time down 60%; campaign turnaround cut by 6 weeks (10 4 weeks); content production costs down 30% and ~5% lift in organic visibility across SEO + “answer engines.” 

  • Time to results: Turnaround improvement stated as operational reality of current workflow; campaign cycle reduction quantified 10 4 weeks

5) Mondelez — 30–50% lower marketing content production costs

  • Company: Mondelez (Oreo, etc.)

  • A.I. use: GenAI tool developed to produce marketing content

  • ROI impact: 30%–50% cost reduction in marketing content production (exec-reported). 

  • Time to results: Tool development began “last year” (relative to Oct 2025) and expected to produce air-ready short TV ads as soon as the 2026 holiday season

6) Room & Board — Predictive personalization in email boosts conversion

  • Company: Room & Board (furniture)

  • A.I. use: Marketing Cloud Einstein predictive content/product recommendations in email personalization.

  • ROI impact: 150% higher conversion rate for customers engaging with predictive content and clicking to buy. 

  • Time to results: Not specified in the public write-up (impact is quantified; timeline not disclosed). 

7) Nielsen MMM study of Google A.I. ads — consistent ROAS & sales-effectiveness uplift

  • Company / Study: Nielsen Marketing Mix Modeling study on Google A.I.-powered ad solutions (multi-brand study)

  • A.I. use: AI-powered YouTube video campaigns, Demand Gen, Performance Max, Broad Match (and combinations).

  • ROI impact (key findings):
    • +17% ROAS vs manual for AI-powered YouTube video campaigns
    • +23% sales effectiveness for combined AI video approaches
    • +10% ROAS / +12% sales effectiveness when adding Demand Gen to Search + Performance Max
    • +8% ROAS (PMax vs Search-only) and +15% ROAS (Broad Match vs other match types)

  • Time to results: MMM is based on historical performance; the study doesn’t present “weeks-to-results” in the excerpted findings.