C.A.P.’s unique data pool does not only show short-term sales uplifts, its results also reveal long-term branding effects.
Cyreen analyzed the conversion rate trend lines of two different shopper groups across a period of 26 weeks: Group 1 (shown in grey) was shopping in supermarkets without any C.A.P technology, whereas group 2 (shown in red) was shopping in supermarkets with active C.A.P technology. A part of group red might have seen this products’ campaign during earlier shopping trips to the respective supermarket, however group red did not see the campaign at the very moment of data collection. Over time, supermarkets equipped with the C.A.P. technology (red) show a stronger growth of the conversion rate compared to supermarkets without any C.A.P. technology (grey). This case indicates that a campaign on C.A.P. is able to support long-term growth by both acquiring new customers and increasing brand loyalty.
26 Weeks (CW29–CW52)
Learn more about the analytical potential and methodology of C.A.P. with this case study conducted with a Non-Food advertiser.