Their challenge: Gaining visibility into offsite impact
Although Seventh Generation was driving traffic from Google Ads to Amazon, they lacked clarity on how those ads were influencing purchase behavior. They found that conversion rates stagnated and new-to-brand (NTB) growth was completely unknown. They needed to find a way to better understand the problem. They needed Ampd to turn on the lights.
Their goal: Expand new brand growth with high return
The three areas that Seventh generation set out to validate with Ampd were:
- Can they attract first-time shoppers from offsite channels like Google?
- Can they increase conversions that happen on Amazon?
- Will they be able to maintain or improve return on ad spend (ROAS) while scaling offsite media investment?
The solution: Target new shoppers at scale, with Ampd
Seventh Generation deployed the Ampd platform and primarily leveraged these key features:
- New to brand (NTB) Insights: Access to this data in near real-time enabled better budget allocation
- Keyword-level analytics: Granular intelligence for confident in-flight optimizations
- Automated bidding adjustments: Using Ampds Agentic AI platform to easily balance cost per click (CPC), conversions, and NTB targets at scale.
How this worked for the Unilever brand
With Ampd, Seventh Generation unlocked cost efficiencies and powered long-term Amazon growth among new shoppers.
- Conversion rate ↑ 3×
- ROAS ↑ 228%
- CPC ↓ nearly 10%
- Over 66% of traffic from new shoppers
Seventh Generation credits Ampd’s deterministic attribution and NTB measurement for transforming its offsite strategy, making spend transparent, targeted, and brand-building.
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