Press "Enter" to skip to content

5 Ways in Which Shopify Retailers Can Use Predictive Analytics to Make Quick Marketing Strategies


Predictive analytics has helped the e-commerce businesses to overcome the limitations of traditional advertising where the sales and marketing team would earlier contact every generated lead and chase them around in order to attain conversions. Today, online retailers can utilize machine learning and data mining algorithms to track the customers’ journey and come up with an accurate prediction of the future trends for their business.

The IQLECT’s Shopify app comes with the predictive analytics feature which is meant to help the Shopify retailers to draw insights from the e-commerce data that is collected from their store and utilize the information to make effective marketing strategies, determine recommendations and promotions, improvise the business intelligence strategies along with several other uses that are discussed below.

The benefits of predictive marketing not only drive sales and growth but can take businesses to great heights. Here’s a look at how the generated data insights from predictive analysis can impact different marketing channels and a brief on how the retailers can utilize the predictive analytics feature of the IQLECT’s Shopify app:

How Predictive Analytics Can be Used for Developing Marketing Strategies?

1. Determine relevant product recommendations and promotions

Determining the right product recommendations that will help close a sale is still a challenge despite the availability of several event-driven promotion engines. With predictive analytics tools, it becomes easier to understand consumer behavior and determine relevant recommendations that have the probability of generating good sales. The same holds true for the product promotions which can be initiated using real-time data and determined on the basis of a consumer’s browsing pattern.

For instance, an online clothing store can create a sales model with which they can ask the users to take a survey about the style of clothes they prefer the most. Predictive analytics can then be used here to match the clothes according to the interest of the customers that they might choose to purchase. In case the customers do not like clothes, they can return them without any shipping charges. Doing so will make the customers feel acknowledged from the brand they are trusting to purchase clothes.
Product recommendation using predictions

2. Leverage business intelligence strategies

For those customers who are unable to figure out which product they should buy, predictive analytics can help in understanding their requirements more clearly and generate insights such as product list in the preferred pricing range and post-sales service that they are expecting from the retailer.

Insights that are gained through this procedure help in making better decisions for the business using the right set of data sources. With this, the sales team would also be able to make decisions regarding better customer services and create strategies to get conversions.

3. Revamp online marketing campaigns

By applying predictive analytics on the available data, the e-commerce businesses can plan, develop, and strategize future marketing campaigns. In addition to this, online retailers can also determine whether they should target the audiences with images, messages, or themes and layout that would attract them to buy a product or service. Using this real-time e-commerce analytics tool is beneficial as the retailers can determine which one of the several marketing campaigns is working best for them so that they can focus on it to strategize their marketing plan to drive conversions. In addition, they can improvise the campaigns that are not garnering sales.

Consider the example of email marketing campaigns where the main aim of the retailers is to target customers in a way that they would subscribe to their services. Predictive email marketing strategies can be employed here to increase sales conversions. By sending newsletter and welcome emails to the potential customers, the retailers can analyze the behavioral data such as the categories that a specific customer chooses to click and the offers that they are claiming to initiate future interactions.
Deciding on future marketing campaigns

4. Improve supply chain management

Supply chain management includes factors such as planning and forecasting, delivery, returns, and order fulfillment and with predictive analytics, the retailers can predict these factors.

Take the example of Walmart where they have used predictive analytics to aggregate data on even the minutest aspect of retail operations of their online and offline stores. With this, they aim to examine customer behavior closely and determine the buying patterns to forecast demand.

The daily customer data collected by them from the tracking systems gets fed back into the supply and distribution platform. The major benefit that they have received by taking such a measure is the reduction in product shortages and stocking issues.

5. Effective customer engagement

Predictive analytics can be used to generate insights that can enable the e-commerce businesses to analyze the existing customer data and provide futuristic insights related to the customer services actions that will impact the financial outcomes. In addition to that, the retailers can also get to know about the actions that a particular customer would take in the future.
Customer engagement analysis
You can also track browsing patterns, purchase history, and other customer-related information to provide them with relevant recommendations based on their shopping behavior.

How Can Retailers Use the Predictive Analytics Feature on the IQLECT’s Shopify App?

The predictive analytics feature of the IQLECT’s shopify app can be used to carry out two main functionalities i.e.,

  • Creating a predictive model by uploading data
  • Mapping an existing stream to a predictive model

The first step is to create a machine learning “model” by uploading the training data. Once this is done, you can depIoy IQLECT’s predictive analytics feature for an input data stream which can be passed through the generated model for analysis.

After this, a predictive stream will be created that will give an output with a prediction value that determines the likelihood of the event.

Retailers can use this feature to take actions for improving their marketing strategies along with the use cases listed above.

The challenges faced by the business managers today are entirely different when compared to the ones that they encountered earlier as they now need to convert prospects into customers, retain revenue from existing customers, and determine the business prospects. As the complexities of marketing landscape have increased, it has become necessary to adopt methods that would help in identifying the accurate business insights. Predictive analytics can prove to be a major game changer in such a scenario and enable e-commerce businesses to make informed decisions in the long run.

IQLECT is offering powerful real-time predictive analytics integration with e-commerce platform to bring enterprise-grade analytics to e-Commerce stores. Stay tuned to know more about the Shopify advanced e-Commerce app.

  1. Jessica Jessica

    I want to begin using Shopify as I have had many recommendations to use it to both shop&sell. I will share this so that I can review again!

  2. Laura Dove Laura Dove

    Ooh this is so interesting about a subject I know very little about. I am about to expand my business and I think learning more about marketing strategies is top of my list.

  3. Lisa fucci Lisa fucci

    Very interesting. We run a Shopify site for one of my businesses.

  4. Gervin Khan Gervin Khan

    Awesome ways and great analysis in this kind of field. I’m very curious and interested in knowing more about this and grasping what is needed to be good at this. I love to learn from you.

  5. Liz Bayardelle Liz Bayardelle

    I am in love with predictive analytics! Such an interesting field, and so underused! Great post!

  6. Jennifer Prince Jennifer Prince

    I have thought about using Shopify. I need to research it a bit more, but this seems like a big plus!

  7. Monidipa Dutta Monidipa Dutta

    These are great tips. The benefits of predictive marketing not only drive sales and growth but can take businesses to great heights.

  8. Dalene Ekirapa Dalene Ekirapa

    I’m in the ecommerce field so surely, the tips come in handy. I’ll agree when it comes to leveraging customer engagement for better sales by tracking customer data and much more .

  9. fashionandstylepolice fashionandstylepolice

    Great tips here for Shopify retailers. I do have a Shopify store but I am yet to use it. Maybe that will change this 2019.

  10. Blair villanueva Blair villanueva

    Wow this is awesome. I will share your tips to my friends, they subscribed to spotify.

  11. Aia Aia

    i haven’t tried shopify. Been reading a lot about it and this helps me understand it more. thanks

  12. Gill Trotman Gill Trotman

    This app seems like a must-have for business owners! I own an online business so I will most certainly check it out!

  13. Elizabeth O Elizabeth O

    This is very insightful information on marketing strategies that we could all benefit from at some point. I will look into Shopify again.

  14. Binge on Basics Binge on Basics

    I am thinking of Shopify a lot these days and your post made it more clear to me. These are some wonderful tips that I can explore more

Leave a Reply