Email Design & Consumer Choice

Empirical Examination of Newsletter Design on Responses and Purchase Behavior

Ashish Kumar — Journal of Retailing and Consumer Services (2021)

Introduction & Research Question

The Problem

  • Email marketing is a $5.2B+ market, but effectiveness depends critically on design
  • Most research focuses on simple “Open” or “Click” rates in isolation
  • The Gap: We don’t know the relative impact of Opening, Clicking, and Reopening on actual individual-level spending behavior

Research Objective

“Quantify the effects of design elements on three engagement levels—Open, Click, Reopen—and their subsequent impact on spending.”

Key Metrics

  • Open — First viewing of the email
  • Click — Interacting with a link
  • Reopen — Returning to view the email again

Theoretical Framework

Information Processing Theory

  • Design cues either simplify or complicate content filtering
  • Information Overload: Larger emails and longer subject lines create cognitive friction
  • Visual Anchors: Banners and links act as focal points to reduce perceived complexity

Conceptual Hypotheses (-/+)

  • H1 Length (-): Long subject lines reduce engagement (perceived as spam/clickbait)
  • H2 Size (-): High-volume content leads to overload
  • H3 Links (+): Unique links facilitate “value co-creation”
  • H4 Banners (+): Act as “atmospheric cues” to draw action

Optimal Design: Conciseness in structure (shorter/smaller) paired with interactivity in visuals (links/banners).

Methodology

Novel Dataset: Email Marketing Database + Scanner Panel Data

Data Integration

  • Individual-level consumer behavior tracked across months
  • Matched actual email exposure (received/opened/clicked) with real-world spending at the store
  • Situational Factors: Modeling of loyalty, integrated media (catalogs), and timing

Econometric Approach

  • Heckman Correction Model: Accounts for selectivity bias (Clicks/Reopens only happen after an Open)
  • Simulation: Testing the “threshold” where the relative value of reopening vs. opening shifts

Key Findings

The Engagement Hierarchy

Ranking of impact on Purchase Volume:

  1. Email Clicks (Highest Impact)
  2. Email Reopen (Second-Highest)
  3. Email Open (Lowest Impact)

Clicks and reopens represent “higher-level commitment” that significantly outperforms mere curiosity (opening).

Threshold Discovery

  • Low Open Prob: Focus on encouraging Reopening to drive the most sales
  • High Open Prob: The relative value of the initial Opening grows larger than reopening
  • The Ideal Outcome: Consumers who indulge in all three actions—Opening, Clicking, and Reopening—spend the most

Managerial Recommendations

Theoretical Contributions

  • Demonstrates the “reopen” action as a vital but overlooked stage of the funnel
  • Highlights “media multiplexing”—reinforcing email with other channels (catalogs) increases spending

Strategic Takeaways

  • Deepen Engagement: Don’t stop at the Open; design calls-to-action that drive Clicks and Reopens to maximize ROI
  • Design for ROI: Balance subject line conciseness with visual elements (banners) that facilitate quick processing
  • Segmented Strategies: If open rates are low, focus follow-up tactics on those likely to revisit the email