Sales Forecasting : Plan for the future with an accurate sales forecast. Based on historical data, weekly and yearly seasonality, holiday effects, and anomalies
Customer Segments, Retention : Get prebuilt customer segments with ML algorithms. Build campaigns by segment to increase your conversions and customer retention.
KPI, CLV, Cohorts, Latency ... : Track the most important KPIs like Customer Lifetime Value (CLV), Avg Order Value (AOV), Time in days between Orders, Retention % ...
If you don't have the resources to hire expensive data scientists every month or to subscribe to costly predictive analytics software, Seery is the app for you. Coming from the business intelligence and data science team at Qualia, Seery brings complex and project-proven AI/Machine Learning methods to your fingertips.
--> Works best for shops that have at least 3 months of orders and customer data.
Monitor your business in a powerful Dashboard showing key information in one place.
Revenue Forecast - powered by Seery machine learning algorithms. Based on historical data, weekly and yearly seasonality, holiday effects, and anomalies detection.
Statistics and Averages - track one of the most important metrics for your business and monitor overall business health. Average order value (AOV), Average Revenue per User (ARPU), Average No of Orders per Customer (ANO), and more, with historical trends.
Customer Segmentation - Based on research eCommerce papers and Machine learning algorithms, this segmentation provides an effective analysis for decision-makers to target their customers and develop appropriate marketing strategies according to their previous behavior. Detect your Active, Lapsing, and Lost, break down by High, Medium, or Low-value customers.
Cohort Analysis - start understanding customer retention through all historical data; do a powerful analysis of customer behavior based on customer segments.
Customer Lifetime Value - Seery can predict how much and how often will EACH repeat customer purchase. Based on that fact, a CLV is calculated based on historical and predictive customer lifetime value.
After installing the app and connecting to your data, Seery will sync your orders and line item history. Advanced machine learning algorithms will then learn all relevant info about your business and your data. Once learning is over, you are ready to go!
Speed tested: no impact to your online store
[2022/11/10 10:20:00]
Whether the type of business you are in, customers are your backbone. Without customers, no company could survive. The dilemma many business owners face is whether they should focus on acquiring new customers or indulging returning ones.
[2022/08/24 01:34:16]
Hi all, Even though during summertime many things slow down, we didn’t slow down. While we wait for significant changes/upgrades, let me present some minor upgrades we made for you. This time, we concentrated mainly on the eReports section.
[2022/05/05 01:22:13]
Hi all, Recently, we are in the 5th gear with adding new reports & features to the Analytics | BusinessQ app.
[2022/04/11 02:16:00]
Tracking the sales of each product you sell on or off-line is one of the key ways you can expand your business.
[2022/03/25 02:04:11]
It has never been more challenging to run a successful restaurant than it is now. Above all, we all live in pandemic and post-pandemic times, and it is crucial to adapt fast to the changes.
[2020/07/08 10:49:37]
It is great to have a full solution with all possible features and reports, but there are times when you just want to receive data in your inbox.
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at [email protected].