Case Studies

Unlocking value-adding, data-driven insights for FMCG brands.
↓ SCROLL DOWN
case studies

Customer cases reveal
multiplied conversion rates
by up to 350%.

We have compiled an anonymized selection of real cases from our FMCG advertising customers. The case studies provide an overview on C.A.P.'s analytical possibilities.​

Advertising
Impact

READ MORE

Power of
Sound

READ MORE

Weather
Impact

READ MORE

Daytime
Impact

READ MORE

Impact of
Discounts

READ MORE

Long-Term
Effects

READ MORE

Contacts per
Customer

READ MORE

A/B
Testing

READ MORE

Advertising
Impact

Power of
Sound

Impact of audio on advertising performance

READ MORE

Weather
Impact

READ MORE

Daytime
Impact

READ MORE

Impact of
Discounts

Long-Term
Effects

READ MORE

Contacts per
Customer

READ MORE

A/B
Testing

READ MORE

research Cooperations

Interested in research cooperations?

for FMCG

GET INSIGHTS

for scholars

LET US KNOW
methodology

A new measurement ​methodology designed to ​gain deep understanding ​of customer behavior ​and advertising performance.

Referencing is the current industry standard to measure offline advertising effectiveness. This method is biased ​by many factors and hinders to precisley derive campaign impact. In order to improve the status quo, Cyreen has established international research cooperations which shaped the C.A.P. measurement methodology. Our approach defines a new standard in offline advertising research and helps delivering new insights to FMCG advertisers and retailers.

Group 1: Activates spot

Group 2: Does not activate spot

2 Shopper Groups
Same Supermarket
Same Time Frame
Same Factors

We compare the purchasing rate of two shopper groups in the same market at the same time.

​Example: 2.000 shoppers visit a certain supermarket. 1.000 shoppers activate a specific spot on C.A.P. and 1.000 shoppers do not come in contact with this advertising campaign. Based on our proprietary technology, we identify which shoppers triggered an ad and which did not. Ultimately, we compare the purchasing rate of the two groups and see whether C.A.P. results in a significantly increased probability that shoppers buy the advertised product. Simultaneously, it does not matter whether a brand is running a price discount, booked an OOH campaign, organized instore product tasting or the like. All factors are identical for the two shopper groups - unlike when making use of the referencing methodology.

2 Shopper Groups
Same Supermarket
Same Time Frame
Same Factors

BARILLA CASE STUDY

Our academic board members Prof. Dr. Dennis Herhausen (VU Amsterdam; previous University of St. Gallen) & Prof. Dr. Sven Henkel (European Business School) have published a case study with Barilla, illustrating the significant impact of C.A.P. on pesto.​

The article was published in the Marketing Review St. Gallen by the University of St. Gallen and provides a practical example on how our methodology works.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Prof. Dr. Dennis Herhausen
Professor for Marketing

« The C.A.P. capabilities catalyse possibilities at the PoS that previously only workedonline – a low-barrier entry point for the future use of BigData platform inclassic retail. »
"The C.A.P. capabilities catalyse possibilities at the PoS that previously only worked online – a low-barrier entry point for the future use of big data platform in classic retail."
Prof. Dr. Dennis Herhausen
Vrije Universiteit Amsterdam, Professor für Marketing
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Got questions or feedback for us?
We are excited to hear from you!