Introduction
Email continues to deliver some of the highest ROI in marketing. But how do you know if your email campaigns are creating incremental lift when you rely only on opens, clicks, and revenue metrics?
Uplift modeling solves this by comparing email-driven shoppers to organic visitors, revealing the true additional revenue your campaigns generate.
Today's Results
Time Interval: last 30 Days
Campaign Uplift Groups
About: Uplift modeling categorizes email campaigns into four groups based on how they perform relative to organic shoppers who did not receive the emails.
Group | Definition | Impact | KPIs | Recommended Action |
Sure Things | Shoppers who are likely to buy anyway | '$27, 567' | Number of Campaigns: '12', RPV Lift: '+23%%', ER Lift: '+18%' | Focus on retention/loyalty; avoid over-discounting" |
Persuadables | Shoppers who buy because of campaign | '$7, 567' | Number of Campaigns: '10', RPV Lift: '-4%', ER Lift: '+24%' | Scale campaigns here; personalize content and offers |
Sleeping Dogs | Shoppers less likely to buy after receiving campaign | '($27, 567)' | Number of Campaigns: '4', RPV Lift: '+11%', ER Lift: '-22%' | Reduce frequency; re-engage with softer messaging |
Lost Causes | Shoppers unlikely to buy regardless | '($37, 567)' | Number of Campaigns: '15', RPV Lift: '-10%', ER Lift: '-13%' | Suppress from campaigns; learn what did not work |
Key Insight: Sure Things as the dominant group show that your email campaigns are well-aligned with audience needs, messaging, and the online buying experience.
Recommended Actions:
Email Strategy: Focus on retention and loyalty programs (e.g., VIP previews, exclusive product drops).
Email Frequency: Avoid over-sending; too many messages risk fatigue and margin erosion, especially if discount-driven.
Email Messaging: Highlight brand storytelling and community engagement rather than persuasion.
Store Experience: Use clickstream-based personalization to keep shoppers consistently exposed to the most relevant products and offers.
Table Legend
Impact: Revenue gained or lost based on the difference between email campaign and organic marketing RPV.
RPV Lift: Difference between RPV of the email campaigns in a group and organic traffic shoppers.
Engagement Rate Lift: Difference between the engagement rate of the email campaigns in a group and organic traffic.
Sure Things - Group Details
Learn and magnify what's working.
Campaign | Revenue | RPV | RPV Lift | ER | ER Lift | Revenue Gain | Classification |
'Summer Clearance' | '$42,500' | '$4.80' | '+38%' | '24.40' | '+25.11%' | '$11,700' | "Champion" |
'Week 23 drop - 2' | '$37,200' | '$4.40' | '+25%' | '4.80' | '+38%' | '$7,800' | "Engagement Performer" |
'Week 24 drop -1' | '$7,200' | '$4.40' | '+25%' | '4.80' | '+3.08%' | '$7,800' | "Contender" |
Actions:
Improve Engagement: Drive traffic to your highest-engagement landing pages using the BFCM Engagement Lift Agent to discover what performs best.
Lift Revenue: Promote your top-performing products using the BFCM Revenue Growth Agent to identify which ones deliver the strongest revenue impact.
Table Legend
Revenue: Revenue generated from the email marketing campaign.
Revenue per Visit (RPV): Revenue per visit from email campaign.
RPV Lift: Difference between RPV of the email campaign and organic traffic.
Engagement Rate (ER): Percentage of shoppers who did not bounce.
Engagement Rate Lift: Difference between the engagement rate of the email campaign and organic traffic.
Revenue Gain: Revenue gained or lost based on the difference between email campaign and organic marketing RPV.
2024 BFCM Week
Time Interval: 2024 BFCM Week (Thanksgiving through Wednesday)
Campaign Uplift Groups
Gain insights into BFCM campaign performance.
Group | Definition | Impact | KPIs | Recommended Action |
Sure Things | Shoppers who are likely to buy anyway | '$27, 567' | Number of Campaigns: '12', RPV Lift: '+23%%', ER Lift: '+18%' | Focus on retention/loyalty; avoid over-discounting" |
Persuadables | Shoppers who buy because of campaign | '$7, 567' | Number of Campaigns: '10', RPV Lift: '-4%', ER Lift: '+24%' | Scale campaigns here; personalize content and offers |
Sleeping Dogs | Shoppers less likely to buy after receiving campaign | '($27, 567)' | Number of Campaigns: '4', RPV Lift: '+11%', ER Lift: '-22%' | Reduce frequency; re-engage with softer messaging |
Lost Causes | Shoppers unlikely to buy regardless | '($37, 567)' | Number of Campaigns: '15', RPV Lift: '-10%', ER Lift: '-13%' | Suppress from campaigns; learn what did not work |
Key Insight: "Sure Things were the dominant uplift group that performed best last BFCM; use them as the foundation for this year’s strategy."
Sure Things - Group Details
Learn from and amplify what worked last BFCM.
Campaign | Revenue | RPV | RPV Lift | ER | ER Lift | Revenue Gain | Classification |
'Summer Clearance' | '$42,500' | '$4.80' | '+38%' | '24.40%' | '+25.11%' | '$11,700' | "Champion" |
'Week 23 drop - 2' | '$37,200' | '$4.40' | '+25%' | '4.80%' | '+38%' | '$7,800' | "Engagement Performer" |
'Week 24 drop -1' | '$7,200' | '$4.40' | '+25%' | '4.80%' | '+3.08%' | '$7,800' | "Contender" |
Actions:
Improve Engagement: Drive traffic to your highest-engagement landing pages using the BFCM Engagement Lift Agent to discover what performs best.
Lift Revenue: Promote your top-performing products using the BFCM Revenue Growth Agent to identify which ones deliver the strongest revenue impact.
Final Takeaway
Scale Sure Things: Keep applying what worked. Reuse the messaging structure, visual flow, and featured products from campaigns that delivered strong engagement and revenue lift. Use them as benchmarks for timing, segmentation, and creative direction.
Boost Persuadables: Identify campaigns that showed promise but underperformed in conversion. Refine subject lines, calls to action, and content personalization. Test adjusted send times or tighter audience filters to unlock their full potential.
Rework Sleeping Dogs: Revisit campaigns that once performed well but have since lost traction. Audit their creative fatigue, offer dependency, or segmentation accuracy. Introduce refreshed designs and adaptive product recommendations to re-engage interest.
Stop Repeating Lost Causes: Phase out campaigns that consistently generate low engagement and minimal lift. Archive their data for learning, but redirect testing toward new creative formats and lifecycle-triggered flows that show stronger shopper response.
Business Guidance
By comparing campaign performance between email-driven shoppers and organic visitors, you can pinpoint which campaign strategies truly generate incremental value and which fail to build momentum. This understanding helps optimize creative, cadence, and segmentation — turning BFCM campaign learnings into actionable frameworks for smarter, more personalized email performance year-round.