Our first priority was reporting. We needed to align on an optimal attribution model to accurately deliver insights on individual channel performance and new net revenue.
Once aligned on our measurement process, we quickly calibrated our paid social campaigns toward prospecting audiences instead of retargeting. We identified interests within the ad platform (e.g., “luxury apparel”) that closely matched their ideal customer profile to reach new audiences on Meta.
Next, we turned to Google. Our PPC team built a custom, non-branded data feed that leveraged more common search terms for their inventory. This strategy allowed us to capitalize on broader search terms with a higher search volume and put shopping ads in front of new audiences.
Lastly, our SEO team mapped out an organic strategy to improve new customer growth, identifying relevant keywords with attainable keyword difficulty and building a content strategy around targeting those top-of-funnel search terms.
What We Did:
- Identify the right attribution model for cabi’s ecommerce site based on revenue goals
- Design a cross-functional strategy to attract and convert new audiences
- Implement high-impact customer acquisition campaigns across all channels
- Analyze the data to extract key audience insights and prove campaign efficacy
- Optimize according to performance data, zeroing in on winning strategies to scale results
*Since YouTube is not the strongest driver of last-click attribution, we designed custom reports that used organic traffic and sign-ups to measure impact and campaign success.
After four months of testing, here’s what we found. ↓