Apply machine learning models to your data
Ecommerce Machine Learning platform that boost customer retention, increase products sales and help you grow sustainably
Data Sources
Site scraping
How does Catwing help you grow?
We combine all of your data sources to give you insights so you can boost your business by:
- selecting right products and bundles
connecting the products to the right audience
retain your existing customers
- early warnings for possible churn of your customers
enabling you to convert your new and existing customers into loyal and increase their LTV
combine audience with products for higher ROAS on campaigns creation
assessing your channels
Normally integration takes a couple of days without developer support, and within 3 months you are able to see your first quality results.
Catwing
Catwing models
Products
There are several steps that we normally follow. Identify top-performing products among tens of thousands of them then suggest the right bundles and the last creating relevant product catalogs which are customer-driven.
For identifying top-performing products we use ABC analysis it follows the Pareto Principle, where 20% of items bring 80% of the value to the business.
Something else we believe is crucial if we can classify products based on their variability of demand, so we introduce and XYZ analysis, they capture seasonalities and variations of demand for all products.
Market basket analysis (MBA) is widely used to analyze retail basket or transaction data and is intended to identify strong rules discovered in transaction data using measures of interestingness, based on the concept of strong rules.
Defining product catalogs based on customer patterns and interests outside of category restriction is a powerful model to rely on data and provide personalized customer experience over your channels – site, facebook, email and SMS campaigns, etc…
Audience
Customer persona and what is your audience is the main questions to which each marketer is willing to know the answer.
Here in Catwing we are able to identify your audience, split it into segments based on their product, item interests, patterns, sales funnel progress, site behavior and suggest relevant actions for each segment or customers. We rely on several models.
For identifying your key accounts we use ABC analysis it follows the Pareto Principle, where 20% of your customers brings 80% of the value to the business.
Introducing XYZ analysis on the customer level gives information about the variability of demand over a period for each customer.
Customer behavior segmentation – RFM allows marketers to identify specific clusters of customers, up to 14, and redesign their marketing strategy toward loyalty, having the instrument to measure and convert their customers to become loyal, with the right communications that are relevant for their particular behavior. As a result, it generates much higher rates of response, plus increased loyalty and customer lifetime value.
Building a predictive churn model helps you make proactive changes to your retention efforts and be in control to reduce leaving customers rate, by reacting on early warning with the right customer communication.
In contrast, Customer profitability analysis is a method of looking at the various activities and expenses incurred in servicing a particular customer. In other words, it focuses on analyzing profit per customer rather than profit per product.
Campaigns
The key is to position your high conversion products or bundles to the right audience and to focus on increasing your repeat purchase rate and incentivizing long-term customer loyalty. It is not going to happen overnight and need to include some of these tactics in your customer outreach.
We suggest to start with selecting the right products or bundels with the right audience at the right time in order to increase your ROAS and achieve higher profit.
Also there are several other campaigns that can incorporate everything that matters about CLTV into smart copy, design, messaging, and targeting.
Repeat purchase campaigns – campaigns that aim to get customers to make a second purchase are perfect for increasing CLTV.
Replenishment or repurchase rate campaigns – offering replaceable or consumable products over a period defined by a model.
Cross-selling campaigns – to offer related products that acknowledge their needs, the more likely they are to make additional purchases.
Loyalty campaigns – offering rewards in exchange for purchases is a powerful way to encourage higher-value customers to buy more.
Channels
Each marketing team is allocating resources on various channels and the constrain they have is where to focus on, how to measure their effectiveness in order to be more profitable in their efforts.
Introducing multichannel attribution models can help to measure channel effectiveness, as well as channel synergies, optimal budget allocation, and to assess which factors influence multichannel effectiveness.
Diving deeper into Customer journey & conversion funnel based on various referral websites and platforms can reveal where to optimize their usage and identify causes for a higher return on ad spend.
Testimonials
Increased customer satisfaction, retention, and number of new subscribers
ShopUp is a fantastic partner, from the initial call I knew that we will go a long way as partners and I wasn’t wrong. Sergi has been an absolute star in capturing my requirements, he very quickly understood what the best solution for EDINA was and clearly articulated how he will deliver to meet our goals. We are now seeing the benefits of Catwing reflected in increased customer satisfaction, retention, and number of new subscribers.
An open minded company
The collaboration between us and ShopUp team have been excellent. We have worked on a several big projects in Canada. They are very open minded and sharing their experience. Together we have improved our product and services a lot. It was a pleasure working with the ShopUp team.
Optimize marketing spending
Together with the ShopUp team we analyzed the data of some of the leading online stores in Bulgaria, as a result of which we optimized both the marketing channels and costs, as well as the product range.
Strong expert knowledge
The team supported us on a project by providing us with strong expert knowledge in taste profiling and product repurchase rate. Throughout our interaction, they were able to quickly adapt to the project requirements paying close attention to the details.
We are really happy to work with the team.
This is the first time we are able to see full details of our customers’ journey, measure effectiveness of various channels like ads, SEO and emails campaigns. The team is full of expertise, open minded and always finds good suggestions when we brainstorm, like implementing some of the models – propensity to buy, lead score, article advisor and recommender and many others. We are really happy to work with the team.
How to launch
Pricing
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Great services. Applied models.
We need at least 3 months to gather data and fine-tune the models
If you have any questions related to the size of your store, pricing plans, models, data sources – please contact us directly. We are here to help and share our expertise in Data Science and Machine Learning and guide you through the process 🙂
Newsletter
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