E-Commerce Consumer Behaviour · Method Demonstration

Determinants of Online Purchase Behaviour & Repurchase Intention

Interactive summary of a simulated consumer survey of Indian e-commerce shoppers (n = 1,000). Every figure below is drawn directly from the analysis workbook.

⚠ Simulated data. The dataset was generated programmatically to demonstrate the analytical workflow. No human respondents were surveyed — figures must not be cited as empirical findings.
1,000
Respondents
3.52 /5
Mean Satisfaction
28.9%
Net Promoter Score
₹4,350
Avg Monthly Spend
₹1,152
Avg Order Value
3.52 /5
Repurchase Intent

Who the respondents are

Age-group composition of the sample (n = 1,000)

City-tier split

Respondents by city tier

The city-tier gradient

Satisfaction falls gently; monthly spend falls steeply from Tier 1 → Tier 3

What moves repurchase intention

Pearson correlation with stated repurchase intention (n = 1,000)

Experience scale (CES)

Mean score on each of the five CES items (1–5). Support is the weakest link.

Advocacy — NPS split

Promoter / passive / detractor classification

Payment mix by city tier

Cash on delivery concentrates in Tier 3; credit cards in Tier 1. χ²(8) = 132.66, p < .001, Cramér's V = 0.258

Most-purchased categories

Respondents by top product category

Attitude item means

Price matters most; brand loyalty weakest (1–5 scale)

Statistical highlights

From the study's inferential analysis

0.755
Cronbach's α (CES)
Acceptable internal consistency
26.68
ANOVA F — Satisfaction × Tier
F(2,997), p<.001, η²=0.051
132.66
χ² — Payment × Tier
df=8, p<.001, Cramér's V=0.258
0.279
Regression R² — Repurchase
F(4,995)=96.0, p<.001