Effects on Click-Through Rate (CTR) and Visual Heuristics
Main Contribution: Explores how spacing, positioning, and layout of digital contents affect human attention and click decisions by mapping CTR across four geometric visual quadrants.
The U-Pattern Click Hypothesis: Click-through rates will follow a U-shaped visual path: starting very high in the Top-Left (Primary Focus), flowing down the Left to the Bottom-Left (Weak Fallow), scanning across to the Bottom-Right (Terminal Area), and being lowest in the Top-Right (Strong Fallow).
Data Source: - Secondary panel data from Liana Technologies, using LianaMailer™ tool managing diverse B2B/B2C email marketing solutions. - Six-month duration (January 2012 – June 2012) from 12 unique companies across 4 countries. - Final Sample: 110 distinct email campaigns from 10 companies, filtered to guarantee that each campaign has at least one link in all four quadrants.
Key Descriptives: - Average Open Rate: ~20%; Average Click-Through Rate (CTR): 16%. - Unsubscription Rate: 0.22%; Average words in subject: 6; Average body words: 208.
Model Specification: - Since the dependent variable CTR is fractional (proportional), the study estimates a Generalized Linear Model (GLM) with a logit link and binomial family (with firm fixed effects):
\[CTR_{fet} = \alpha_f + \beta_1 UnSubRate_{fet} + \beta_2 OpenRate_{fet} + \beta_3 SubLen_{fet} + \beta_4 BodyLen_{fet} + \beta_5 NoImage_{fet} + \beta_6 NoLinks_{fet} + \beta_7 PageLen_{fet} + \beta_{8-11} ClickRegion_{fet} + \epsilon_{fet}\]
| Variable Type | Independent Variable | Estimate | Std. Error | Significance |
|---|---|---|---|---|
| Visual Regions | Top-Left (North-West Click Region) | 0.2885 | 0.1062 | \(p \le 0.01\) |
| (The U-Pattern) | Bottom-Left (South-West Click Region) | 0.2617 | 0.1214 | \(p \le 0.05\) |
| Bottom-Right (South-East Click Region) | 0.0467 | 0.0161 | \(p \le 0.01\) | |
| Top-Right (North-East Click Region) | 0.0223 | 0.0104 | \(p \le 0.05\) | |
| Email Activities | Unsubscribe Rate | -0.0767 | 0.0102 | \(p \le 0.01\) |
| Open Rate | 0.0054 | 0.0032 | \(p \le 0.10\) | |
| Email Design | Subject Line Length | -0.0121 | 0.0065 | \(p \le 0.10\) |
| Body Word Length | 0.0012 | 0.0005 | \(p \le 0.01\) | |
| Number of Links | 0.0344 | 0.0186 | \(p \le 0.10\) | |
| Page Pixel Length | -0.0002 | 0.0001 | \(p \le 0.10\) | |
| Number of Images | 0.0012 | 0.0110 | n.s. |
[START] [END]
Top-Left (NW) ===========================> Top-Right (NE)
0.2885*** 0.0223**
(Highest CTR) (Lowest CTR)
|| /\
|| (Reading Down) || (Scanning Up)
\/ ||
Bottom-Left (SW) =========================> Bottom-Right (SE)
0.2617** 0.0467***
(Second Highest) (Terminal Area)
Citation: Kumar, A., & Salo, J. (2018). Journal of Marketing Communications, 24(5), 535-548. DOI: 10.1080/13527266.2016.1147485