If you own a franchise or any other business that depends on a steady stream of customers, CEO Analytics
CEO kills churn
To get real results you need to talk to real people
Talk to your real customers using advanced Disassociated Conjoint Analysis surveys
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Employ sophisticated analytics and predictive algorithms to unearth drivers
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Identify what your customers truly love about you and whey they keep coming back
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Use the findings to develop messaging to keep customers coming back, more often
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Extraordinary expertise for extraordinary results:
• Advanced, bias-less, surveys use sliders to measure both, the score & relevance of each factor in ways that traditional scales just can't match
• We include marketing and promotional factors in the survey
• Over 60 years of combined experience in Business Intelligence and Marketing Analytics
• Advanced, bias-less, surveys use sliders to measure both, the score & relevance of each factor in ways that traditional scales just can't match
• We include marketing and promotional factors in the survey
• Over 60 years of combined experience in Business Intelligence and Marketing Analytics
Real-Life Applications
Retaining Lapsed Customers
For this client, a weight loss program, we identified not only the three main factors that people consider when evaluating any weight loss program (permanent results, happiness about oneself and cost) but also the real drivers between active (paying) and lapsed customers.
The creative team could then develop win-back campaigns for lapsed customers that would stress how this particular tapping methodology addressed the other key points: • Fits into the person's lifestyle easily • Uses the power of the mind, no drugs, weird foods or counting points • Achieved fast results |
Predicting programming
This particular TV station did not have ratings in each country. We created a survey to achieve several purposes:
• Segregated audiences by country and had a significant sample in large countries • Measured both, genres and specific programming • Defined in which genres and programming to invest local production budgets • Allowed finer demographic segmentation (e.g., age, marital status) We achieved an 80% accuracy vs. overall ratings |
Policy-Making
We developed a four dimensional graphic to be able to see where different segments were alike or different. In this case, for a political survey, we were able to track where people from different political parties stood on the importance of a range of issues.
In this case, if you had to speak, for example, to an audience of older (35+), educated white males, you could concentrate on education, where both, democrats and republicans agreed that it was important and perhaps avoid the economy, which has a marked difference. In this case, CEO Analytics can be used to determine policy for governments of any size, as we can also segment by geography or any other variable we capture. |
Attracting heavy travelers
A key aspect of our research is that it is 100% geared towards practical applications. In this particular study, which is part of a pilot we did for the hospitality industry we found significant differences between light and heavy hotel users.
The study was conducted in late April 2020 in the middle of the Covid19 crisis and, naturally, there were questions about Covid19. However, in this case we focus on the 30% of respondents who were Women, 35+, with director and higher job titles and at least some college education. Fast check-in, for example, clearly marks a difference. But the research identified other important points too. CEO Analytics' research not only shows a score, but also the relative importance of the different product attributes. |
Fast Food for the Fifty-plus crowd
A fun fact about the fifty-plus crowd: convenience is more important than price or a smile!
When we researched fast food we found that, for men 50+ with no kids at home, convenient location and parking were decidedly more important than the cost of the food or the friendliness of the service. Fast service, which is a natural extension of the convenience aspects of the location and parking was an in-between factor. Our dashboards slice and dice data along any data points to improve your decision-making. We also add promotional aspects such as the use of coupons, discounts, free merchandise, BOGOs and more. |
More accurate surveys: we eradicated the word "bias" from our vocabulary
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