Know What Keeps Your Customers Coming Back
Understand how connected customers are to your brand.
Research Objectives
The study measures loyalty through satisfaction, willingness to recommend, our Disappointment Score and Meyocks Attention Score.
- Learn how loyal consumers are to your brand and if they’ve recommended it in the past.
- Break down consumers use of your brand vs. competitors and use the Meyocks Disappointment Score to measure fear-of-loss.
- Learn about types of shoppers within the category and assess any patterns.
- Measure up to two brands with our Meyocks Attention Score.
The Blueprint Behind Your Customer Study
Sampling Methodology
Option A
Online quantitative survey from a client-provided list distributed “blind” by Meyocks. The client must represent that the customer file is first-party, “opt-in” data and that the customer survey is consistent with the client’s privacy policy.***
Option B
Online quantitative survey from a client-provided list distributed by the client and including a Meyocks Research + Insights provided survey link.***
Pricing
Option A
Starting At:
$18,000
Option B
Starting At:
$16,800
Deliverables
- Presentation-ready report with a summary of key findings, charts for each question for the overall sample and Meyocks Attention and Meyocks Disappointment Scores.
- A crosstab report with demographic cuts.
- One-hour virtual presentation of results.
Survey Outline
- Brand Awareness
- Meyocks Disappointment Score
- Meyocks Attention Score
- Client Brand Recommendation
- Client Brand Strengths/Opportunities for Improvement
- Demographics
Ready to get started?
Scores That Show What Others Miss
Our two proprietary tools, the Meyocks Attention Score and Meyocks Disappointment Score, paint a clear roadmap for where your brand should focus. The Meyocks Attention Score reveals how your brand performs across four dimensions that determine whether brands can get noticed or ignored: contrast, relevance, emotions and retrievability. The Meyocks Disappointment Score measures true loyalty by capturing how consumers would feel if their preferred brand disappeared, which could help predict actual sales growth and retention.