Perform Latent Class Segmentation on Panel Data

Project Description

Objective: We have panel data which other companies use to conduct surveys. We need to segment the panelists based on what motivates them to respond - incentive ($ paid for responding to surveys), survey length, topic, panelists demographics, psychographics etc. We need to surface meaningful segments in context of survey responses rate which be used to create segment level rate card. For example, segment 1 could be purely driven incentive while segment 2 is more about contributing to the society and does not care about incentive as along as the length of the survey is under x.

Data:

1. We have longitudinal data about the panelists including which survey they received, incentive, etc.
2. We have whether the panelists opened the survey invitation, started and or completed it
3. Panel member demographics, psychographics etc.

Technique: Looking for someone who specializes in surfacing segments using both categorical, numerical, and mixed type about variables on longitudinal data. Someone who specializes in latent class analysis using latent gold is highly preferred.

Timeline: Starts immediately. Segments to be delivered within a week.

When submitting the proposal, please let us know if you are expert in latent class segmentation or not and share specific details on projects executed using latent class segmentation.