Customer Data Platform Integration With Shopify

Build True Omni-Channel Consistent Customer Experience With Shopify Integration

Through our, quick-and-easy to setup, integration with Shopify, businesses can quickly create a Single Customer View and gain access to  powerful tools they need to create personalized, 1:1 interactions that drive incremental revenue, deeper engagement and growth.

Quick and Easy Shopify Integration

You can setup and connect the  UrbanBuz Shopify App within minutes after which data will automatically flow to your Customer Data Platform and you can immediately gain access to the Single Customer View that combines the offline and online data.

Shopify Two-Way Integration

The UrbanBuz Shopify App not only enables you to centralize your data by capturing all your online data into your Customer Data Platform (CDP) but also enables you to push data back to your Shopify store like loyalty balances, vouchers, and product recommendations.

Create Omni-Channel Consistent Engagement

With the UrbanBuz Shopify App, you can learn about:

  • What your customers are browsing online
  • Abandoned carts
  • Online Transactions

All that becomes part of the customer account. Combining the online with the offline data, you can optimize their experience online (and vice versa).

You will be able to identify which customers shop only online, which ones shop only in store, and which ones shop both. This also allows you to optimize your marketing so you don’t target online customers with products they just bought offline.

Through UrbanBuz Audience You can segment your customers between online, offline, or both. You can build fully automated journeys that take into considerations purchases online and offline. Some of those automated journeys would cover:

  • Following up with customers about their abandoned carts
  • Tailoring the marketing message to include products they browsed but haven’t bought (online and offline)

Overcoming Cookies limitation to Optimize Online Ads

The UrbanBuz Shopify App collects data directly into your customer data platform (CDP) without any reliance on cookies, which goes beyond browsers limiting cookies collecting data.

Once the data is collected, you will have full control over what data to share with online ads platforms (like Facebook and Google) to optimize your online marketing campaigns through the UrbanBuz Online-Ads product.

You will have full control over your data and over protecting the privacy of your customers.

Loyalty Programs

Integrating with your Shopify App, automatically gives you access to the UrbanBuz powerful loyalty engine where you can incentivize your customers offline and online. You can easily tailor your rewards based on whether customer buys online or offline to drive certain behavior.

 

You want see our platform in action? Book your next demo HERE.

 

 

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Single Customer View

Using A Customer Data Platform To Create A Single Customer View

There is no doubt that the pandemic has drastically changed the game for businesses across all industries, and fast. One common theme has emerged to adapt to these changes: “Accelerated Digital Transformation”. In retail, with competition getting fiercer by the day, we have seen brands focusing on adopting new agile technologies, like customer data platforms, with the main objective to deliver highly personalized customer experience across all channels. That would require creating Single Customer View (“SCV”) that transcends all customer touch-points.

Not sure what SCV means? This article will walk you through the concept’s nitty-gritty details and tell you why you need it now more than ever.

What Is a Single Customer View?

A Single Customer View or SCV is the process of collecting real-time data from disparate online and offline data sources, then bringing them together and merging them to form a single, accurate record for each customer. It’s also known as “360-degree customer view,” or ” Golden Record.”

The good news is that Customer Data Platforms were created to do the grunt work needed to provide the much-needed Single Customer View for marketers and make it accessible to your marketing tools.

Why Is a Single Customer View Important?

There are several good reasons to create a single customer view. Here are three of them:

1. Enable Customer Segmentation for Data-Driven Decisions

The era for guesswork and on-size-fits-all has ended long time ago. With SCV, you can use your accurate data to easily segment your customers into smaller groups that share the same attributes and behaviors such as channel affinity, preferred language, location, purchase history, buyer lifecycle stage.

Such advanced segmentation enables you to better tailor your offering and personalized communication; which will eventually lead to more successful marketing campaigns and improved customer experience.

2. Facilitate Multi-Channel Marketing

As of October 2020, 59 percent of the global population were active online. This statistic has pushed all offline retailers to focus on building or enhancing their online presence in the last year. However, it is important to note that offline shopping still represents today more than 85% of total shopping; so it cannot be ignored.

Thanks to the Single Customer View; you can now recreate your customers’ complete omni-channel journey with your brand, and optimize your marketing spend online as well as accurately track performance of your campaigns.

A 360-degree customer view makes multi-channel marketing more manageable and successful.

To consolidate your cross-channel marketing efforts, you can use an omnichannel marketing platform to stay relevant and competitive in this crowded market.

3. Improve Customer Loyalty and Experience

Mass marketing not only seems impersonal and irrelevant, but also annoys the customer. On the other hand; delivering a highly personalized, timely and relevant marketing message to the customer is key to increasing customer loyalty and improving customer experience.

Single customer view gives you that ability to send hyper personalized marketing, which is critical to improving the customer experience.

Actionable customer data for proactive businesses

In summary, implementing a single view of the customer is undoubtedly an essential step in significantly improving the customer experience. By unifying customer identities across all offline and online touch-points and making the single view of the customer available in real-time, you can more easily bridge the gap between customer expectations and customer experience. As a result, you’ll see improved customer loyalty, increased customer satisfaction, improved process efficiency, and better customer service and support.

To see how you can easily create a Single Customer view for your organization, check UrbanBuz Customer Data Platform here or just simply request a demo

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Customer Data Platform Integration With Magento

Bridging The Gap Between Online & Offline Customer Experience With Magento Integration

With the UrbanBuz Customer Data Platform integration with Magento, retailers have access to powerful tools they need to create personalized, 1:1 interactions that drive incremental revenue, deeper engagement and growth.

Integrating your Magento Ecommerce site with the UrbanBuz CDP is a breeze. Once that connection is made, you will automatically connect your offline and online channels. Also you will immediately have access to a suite of advanced tools that will help you fully optimize your engagement with your customers.

Customer Data and Identity Resolution

By combining your online store with your offline world, you can leverage your store data to help identify visitors online. You will also be able to unify your customer data across those two sales channels. This will enable to create a the single customer view.

Create Omni-Channel Consistent Engagement

With the UrbanBuz Magento extension, you can learn about:

  • What your customers are browsing online
  • Abandoned carts
  • Online Transactions

All that becomes part of the customer account. Combining the online with the offline data, you can optimize their experience online (and vice versa).

You will be able to identify which customers shop only online, which ones shop only in store, and which ones shop both. This also allows you to optimize your marketing so you don’t target online customers with products they just bought offline.

Through UrbanBuz Audience You can segment your customers between online, offline, or both. You can build fully automated journeys that take into considerations purchases online and offline. Some of those automated journeys would cover:

  • Following up with customers about their abandoned carts
  • Tailoring the marketing message to include products they browsed but haven’t bought (online and offline)

Overcoming Cookies limitation to Optimize Online Ads

The UrbanBuz Magento extension collects data directly into your customer data platform (CDP) without any reliance on cookies, which goes beyond browsers limiting cookies collecting data.

Once the data is collected, you will have full control over what data to share with online ads platforms (like Facebook and Google) to optimize your online marketing campaigns through the UrbanBuz Online-Ads product.

You will have full control over your data and over protecting the privacy of your customers.

Loyalty Programs

Integrating with your Magento Ecommerce, automatically gives you access to the UrbanBuz powerful loyalty engine where you can incentivize your customers offline and online. You can easily tailor your rewards based on whether customer buys online or offline to drive certain behavior.

Customer Access To Their Full Data

With the UrbanBuz Magento extension, you can provide your customer with visibility over their data, offline and online, once they login to your Ecommerce site.

They can update their profile, view their purchases and E-Receipts, vouchers, loyalty balance, communication preferences, and much more, which creates a certain level of trust between your brand and you customers.

 

You want see our platform in action? Book your next demo HERE.

 

 

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predictive-segments-using-rfm-moengage-2

Predictive Segments Using RFM Modeling For Marketing

It goes without saying that serious marketers understand the importance of “know thy customer.”  Businesses that use RFM modeling for marketing can segment their customers into homogeneous groups. It is then easier to understand the traits of each group, and engage each one of them with relevant campaigns rather than segmenting on just customer age or geography.

In order to deliver relevant, personalized, and timely content to your customers you need to look beyond demographics. One of the most popular, easy-to-use, and effective segmentation methods to enable marketers to analyze customer behavior is the RFM analysis.

What Is RFM Analysis?

RFM stands for Recency, Frequency, and Monetary value, each corresponding to some key customer trait. These RFM metrics are important indicators of a customer’s behavior because frequency and monetary value affects a customer’s lifetime value, and recency affects retention, a measure of engagement.

The goal is to predict which clients are more likely to buy again in the future. RFM model is a proven marketing strategy based on customer behavior segmentation. It groups customers based on their purchase history – how recently, with what frequency and of what value did they buy.

RFM analysis helps you find answers to the following questions and more:

  • Who are my best customers?
  • Which customer has the potential to buy more?
  • Who has been churned out/has lapsed?
  • What customer can the business afford to ignore to effectively utilize budgets?
  • Which customer can be converted by creating value through promotions?
  • Which of your customers are most likely to respond to engagement campaigns?
  • Who are the customers who buy only discounted items?

Through RFM, you can recognize and focus on converting critical customer segments like customers on the verge lapsing or dropping to becoming engaged and active customers. You can leverage the power of RFM to utilize your marketing budgets wisely and effectively, while also increasing the overall impact of marketing on your business.

How does RFM Work?

Historically, setting up an RFM model required some technical configuration based on some metrics defined by the business.

For example, you might define a core customer as a customer who:

  • Shopped recently (say within a month)
  • Visited frequently (more than 10 visits per year), and
  • Spent a certain amount of money ($10,000 in the past 12 months).

Any customer who falls within that bracket will belong to your core segment.

You can define different segments and give them scores so customers would be grouped according to their RFM score. The RFM combination is important in order to optimize your targeting. You don’t want to focus only on high spenders who might be casual customers who don’t visit much or did not visit recently. Also you don’t want to ignore small spenders because they might be very regular.

However, as the name implies, the RFM model is about spend and visits but the customer universe is much more complicated than that. If your business is both online and offline then you need to setup different criteria for online customers, offline customers, and both. Furthermore, you should include customer demographics and engagement to optimize the marketing spend to target those who are engaged versus those who never respond to campaigns. You add to that product categories and NPS rating (customer feedback) and you get an idea about the different scenarios that a business would be looking at.

Sounds Complicated?

On paper (or on screen), yes, all that might sound too much for a marketing team to handle. However, you can now easily define the different customer groups that are relevant to your business then engage those groups in a personalized, relevant, and timely manner. All this made possible through AI powered segmentation along with simplified UI that is designed mainly for marketing teams.

With UrbanBuz Audience,  you can create any customer segments you want based on the RFM model and beyond to really optimize your customer engagement and create exceptional customer experiences.

RFM Modeling For Marketing

You can visually define your customer segments by easily combining all the different elements to fine tune each segment. You can combine demographics, with RFM, with browsing behavior, abandoned carts and more to create optimized segments.

Once created, the system would automatically keep each segment up to date and in real time. You can then engage with the right audience any time whether through our omni-channel Automated Journey product, or through our omni-channel Campaign Management product.

RFM Modeling For Marketing

You can also use the segments across different dashboards to have a deeper analysis of each segment’s data.

No certification required, all you have to do is click and define you segment and let our system do the rest.

 

 

You want see our platform in action? Book your next demo HERE.

 

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