[DATA UNIVERSITY]: UNDERSTANDING REVENUE TRENDS

Large businesses have always known the value of business intelligence in making decisions and Sum(All) is making it possible for small businesses to tap into these metrics in order to make smart, profitable decisions.

Metrics like year over year (y/y), month over month (m/m), week over week (w/w), day over day (d/d) demonstrate how your business is performing in this period to a prior period. Combining insights and annotations of marketing initiatives, coupons, or product launches, we can start to piece together a story from the data that might go something like this:

"The launch of your company's snowboarding line this month for the upcoming winter season along with a coupon for a free pair of gloves with purchase may explain why sales doubled from last month to this month. 80% of the m/m revenue increase was attributable to snowboard sales. Your company did not see an increase like this last year from September to October, but you also did not have any promotions or new product launches at that time."

Historical revenue trends combined with the anecdotal evidence can uncover the health of your business and the usefulness and impact of marketing initiatives.

Within the Sumall tool, you can easily add annotations to your store's calendar timeline to help you remember particular events. By documenting important marketing initiatives, store downtime (if any), vacations or holiday closures, and other events that impacted your stores sales, we can algorithmically help you optimize similar future events to maximize your revenue trend.