Why choose this project topic?
Comparability of Retention Metrics in a Synthetic Purchase Dataset gives the proposal a specific research question to investigate. By examining how customer and time-window definitions affect a fictional repeat-purchase measure, the study can connect an accessible evidence base with an explicit comparison and a useful account of uncertainty.
Which definitions create the greatest differences in reported retention?
Keep all identities fictional and disclose inactive-record rules.
Proposed project objectives
- 01Define a feasible study scope for how customer and time-window definitions affect a fictional repeat-purchase measure.
- 02Use synthetic transactions with explicit identities and observation periods.
- 03Compare metric sensitivity without claiming a causal loyalty effect.
A suggested research approach
Use synthetic transactions with explicit identities and observation periods. Compare metric sensitivity without claiming a causal loyalty effect. Agree access, sampling and any required ethical or laboratory approval with your supervisor before collection. Keep original observations separate from assumptions and record missing or unusable evidence.
What you will need
- Synthetic data
- Qualified reviewer
- Analysis software
Keep your project scope clear
A metric comparison does not predict retention or establish brand loyalty.
Marketing project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3Research Methodology
- Chapter 4Presentation and Analysis of Results
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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