Brand Analytics

see how specific categories, products, & skus are performing across the retailers where you sell your products how to filter your data by store select company for high level analytics of all the retailers that sell your products or select specific stores to drill on location specific metrics retailers that are listed as unavailable have yet to share their data with aiq but can be invited to join aiq by clicking the request access button and entering an email address that aiq will send a link to join the platform click click to select under company/store(s) analyzing this will open a pop up table in the pop up table, click the checkboxes next to each company you'd like to see data on if you'd like to select specific stores under a company, click the + button to expand the dropdown and click the store you'd like to include click confirm , and then confirm again on the pop up click run analysis some companies have not yet shared their data with aiq you will not be able to select these stores or companies and can identify these by scrolling right on the table and looking under the column titled data access for entries that say unavailable by product segment the data you want to analyze by individual skus or categories and sub categories click in the input field below product(s) analyzing scroll through the dropdown to select which products and product categories you would like to analyze click run analysis by date range see product and/or retailer performance by specific timeframes click on the dates below report date range select your date range you can also use the pre built ranges at the bottom of the calendar this week, this month, last month, this year now that your filters are in place, click run analysis and see below for the powerful insights aiq provides brands analytics tabs order analytics see transactional insights pulled from retailers in aiq that sell your products revenue, top selling products, and top performing months of the year are a few of the metrics you can find under order insights dig even deeper into top performing items by clicking show table a dropdown will appear of all the top performing items that you can expand even further by clicking the + symbol under details customer lifecycle use the customer lifecycle tab to gauge how sticky your customers are and reengage customers that aren't purchasing as frequently as they once were toggle the timeframe to see metrics over different periods of time customer lifecycle metric description use case leaky bucket the ratio of new customers vs customers that are likely gone if the ratio of likely gone customers is higher than new active customers , focus on win back and retargeting efforts to get those customers back to an active purchasing habit customers won back the number of customers that became active again from being likely gone lifecycle distribution aiq segments customers into different stages of our lifecycle distribution chart depending on how much time has eclipsed from their first two tracked purchases chilling the customer is 1 25x out of their original two purchase timeline absent the customer is 1 5x out of their original two purchase timeline highly absent the customer is 1 75x out of their original two purchase timeline gone the customer is 2x out of their original two purchase timeline if your active customer base decreases over time, consider win back campaigns targeting audiences built around chilling, absent, & highly absent customers create this audience using the below traits contact trait / lifecycle stage / contains / \[lifecycle stage] retail partners see a full list of retailers that sell your products you can download a csv of this list on the right side of the page category insights see how individual categories within your brand are performing from here you can segment the data by month to date, yesterday, last month, or last quarter take a deeper dive into specific category performance by clicking on the + symbol next to any category download a csv of the date demographic insights see who, what, and where your customers are persona demographics information about the actual customers purchasing your products aiq collects this data from retailers already existing in aiq's ecosystem general census demographics information about customers collected through already available census data