SAN FRANCISCO, CA--(Marketwired - Nov 12, 2014) - Euclid, the leader of in-store retail analytics, today releases its monthly retail benchmarks report to analyze shopper activity and behavior during the month of October. This month's report measured data from tens of millions of domestic shopping sessions to reveal that shopping activity rebounded slightly from September, but not enough to drive positive year-over-year sales growth. Traffic increased only marginally compared to last year, despite a much better macro-economic environment than last October, and repeat visits were down significantly. Bounce rates increased to levels not seen for a year as many shoppers lacked intent.
Euclid asserts that its metrics illustrate a cautious outlook for industry revenues, and estimates sales growth in the following retail verticals of:
Here are some of Euclid's top findings in this month's report around shopper behavior metrics:
The best shopping day of October was Sunday the 19th. Outperformance was experienced across traffic, storefront conversion and visit duration. This day had the highest absolute duration for the month at 25.9 minutes. On the other hand, Friday the 24th was the worst shopping day of the month. Low duration coupled with abnormally high bounce rates marked this day and likely led to sales underperformance. Generally, the middle of the month saw the best shopping days, while the end of the month saw a drop off in activity.
To view the complete findings, download the full report on shopper activity for the month of October here: http://info.euclidanalytics.com/WC14-10USRB_Reg_RLP.html
Euclid provides answers and insights to brick and mortar retailers in the same way that web analytics services do for e-commerce. Euclid helps retailers quantify offline impact of marketing, optimize store performance, and understand customer behavior. As of October 2014 Euclid's network has grown to capture billions of measurements per day, analyzing hundreds of millions of potential shopping sessions per year across thousands of locations. Only anonymous, non-personal data is ever collected and only aggregated trend data is used for analysis.
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