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.