A single customer view represents an aggregated representation of the data you’re holding about your customers. This representation can be viewed in one place – such as a single page.

Take any business open today, analyse it, and you’ll realise that there’s one thing that’s more important to it than anything else. It’s not the budget, the people, or the reputation. It’s the data.

Data is the core of everything and anything

– from product characteristics to employee performance and marketing statistics. Without the proper data and, most importantly, the right tools to help you interpret it accurately, your business will fall behind its competition. 

When it comes to the complex world of marketing and achieving satisfaction for your customers, there’s no better source of information than a single customer view.

Let’s dive deeper into this subject and make it clearer. We’ll tackle what a single customer view is, what type of data it uses, the steps to creating one, and what the benefits are in doing so. We’ll also help you with some useful tools in this regard, like customer data platforms, so read ‘till the end to find out all about it!

What is a single customer view (SCV)

You may have heard about single customer view before – but maybe under different names. It’s also known as “360”, “360 degrees,” or “unified customer view.” 

Nevertheless, its function is the same, regardless of what you call it – single customer view means gathering data across all management platforms about your prospects and clients, then merging it into a single record.

The idea behind this method is that by merging all the pieces of data in one centralized location, you get access to a strong overview of every action performed. This includes all areas of interaction, from mobile devices to your business’s websites and even offline retail stores. 

What types of data does it use?

The amount and types of data used vary and are not limited to just marketing –  it’s scattered in the entirety of your business, from sales to service & product design and, yes, of course, marketing. 

The customer data may include, but is not limited to:

Desktop, mobile and behavioral data – what they’ve browsed, products they’ve added to their basket, and products they’ve abandoned. This includes clicks, hovers, scrolls, time spent on each page, and so on. 

CRM & offline data – their telephone information, postal address, email address, social network, permissions, and suppression data. 

Transactional data – their order value, the number of products purchased (online and offline), subscription value, order/renewal dates, abandoned baskets, product returns, and so on. 

What can this data be used for?

Depending on your individual business needs and future marketing efforts, the data is very versatile in its usage. Some of the most common applications of SCV are:

  • Cross & upsell campaigns
  • Content personalization
  • Facebook and Google Ads
  • Email & CRM
  • Exporting audiences to other tools
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How to Create a Single Customer View

To create a successful single customer view, one that will accurately help you to make better marketing decisions and increase customer experience rate, you need to:

  • Eliminate the places where data is stored and forgotten about (also known as data silos);
  • Create a process that integrates cross-channel data;
  • Give this new information to all relevant employees and teach them how to use it appropriately. 

Data silos or information silos are situations where only a fraction of an organization has access to vital information about the company. This can occur because of several reasons, including:

  • Human: employees withdraw information from one another due to competition between them;
  • Logistical: the structure of the company creates miscommunication, and the information is lost as a result;
  • Technological: the digital infrastructure of the organization is not customized to allow access to all people who might need it. 

On the other hand, cross-channel data is one that takes into account all the possible uses of said information. The goals of each department are transparent and integrated into the overall strategy of the company, so every department and every employee knows when, where, and how to access the needed information to complete each task. 

Now, let’s see what some concrete steps you can take right now to start creating a productive single customer view of your customers’ expectations and needs are. 

Walk a mile in their shoes

Well, not literally.

But before you even start the process of creating a single customer view, it’s crucial to check and understand how your customers interact with the business. You really need to take a step back and check out their customer journey analytics from a macro level so that you can get an accurate understanding of how they feel when they interact with your business. 

Bring it all together

Let’s talk data management – take a look at all the data you already have about your customers. This may include, but is not limited to:

  • Demographics
  • Desktop and mobile browsing behaviors
  • Customer preferences
  • Sentiments
  • Customer support team interactions
  • Firmographics
  • Sales team interactions
  • Social media
  • Transactions
  • Any other customer journey interactions

You will generally find this data stored in:

  • Data Warehouses
  • Point-of-sale Systems
  • Email Marketing Platforms
  • Marketing Automation Systems
  • Call Center Data Management Systems

Identity Matching

This is where it all comes together. Identity matching is the process through which data associated with a specific customer is joined in a single place. In other words, it’s the action through which we unify customer data – teaching the system that all data referring to one person is stored in one place, regardless of the number of interactions, platforms, or channels. 

How does Identity Matching work?

Let’s say a customer has interacted with your business while browsing for products from their desktop computer. Later in the day, they check their options on their phone. Identity matching makes sure that you will not see these two events as separate interactions from two different users but as multiple interactions stemming from the same user. 

This, in turn, collects the data accurately to get a broader, accurate, and useful view of what that specific customer is looking for, how they operate, and what their browsing habits are. 

To create the match, there are several identifiers that can be used:

  • Email Address
  • Credit Card Number
  • Transaction ID
  • Device ID
  • Cookie ID
  • Ip Address For Customers
  • Agent Name Or Agent ID For Customer Care Representatives
  • Account Number
  • Company Name
  • Salesforce ID For Business Accounts

When the software detects a value for any of these identifiers, it knows precisely who engaged in the particular interaction, revealing the customer identities. Although these interactions might happen in two completely different places (e.g., call center interaction vs. mobile browsing interaction), the identifying data overlap will let the system know that it is, in fact, the same person. 

Give your CX team all that useful information

After all that effort, there’s only one thing left to do: share the information in real-time. This way, they have all the resources needed to provide the best possible customer experiences. 

Details such as: 

  • Preferences
  • Spending habits
  • Recent interactions
  • Order history
  • Ratings
  • Satisfaction scores

It can make a world of difference for how employees engage with customers by better understanding their needs and desires. 

For example, in industries where customer support calls are coming in at a high volume (such as telecom or banking), the access to an accurate single customer view can really change the interaction from an ok one to a totally personalized one.

Agents no longer waste time keeping their customers on hold for minutes on end, they are less likely to miss deadlines or make mistakes, and they can ultimately resolve the issue a lot faster, thus improving customer relationships. 

Benefits of applying a single customer view (SCV)

By this point, you may be asking yourself: what are the benefits of using a single customer view? Well, short answer: plenty. Let’s take a look at all the amazing opportunities offered by this data-collecting method. 

To cross-channel multiple sets of data 

Back in the day, data was hard to collect and even harder to interpret. Paradoxically, as more and more people get access to more and more devices, the collection of data has become, in fact, easier.

Using SCV, we can now collect data from any channel, anywhere and anytime – and gather it all in one place, where it can be interpreted and used properly for future campaigns, promotions, and other marketing efforts. 

To reduce the amount of unnecessary data 

Most businesses store their data chaotically – different departments conduct different types of surveys, they keep it stored on their devices, and a plethora of valuable information is either:

  • Lost because it is not shared with the rest of the company;
  • Duplicated because more than one department gets ahold of the same customer information;
  • Ignored because employees simply have no idea what to do with it and how to integrate it into their work.

By using an SCV, you’re eliminating all these problems. All the data is stored in one place, accessible to everyone, and clearly valuable for all types of work from almost all departments in the company. This also helps with your digital transformation, since you don’t have to regroup and identify scattered data on multiple devices.

To work smarter, not harder

When you have an objective overview of your customers’ behaviors, you’re no longer making assumptions and losing money on bad marketing decisions. With the use of SCV, you can cross-sell and upsell more easily, and therefore enhance your customer retention rate. 

Moreover, by better understanding the mindset and behaviors of your customer profile, you can communicate the appropriate information. You no longer send offers, vouchers, or useless newsletters to people that are not interested – you pinpoint exactly what they want to hear, and you deliver just that. 

How to apply SCV in digital marketing

SCV is behind many succes stories in digital marketing. Which is why we’re going to look at a couple of practical ideas for SCV and marketing:

  • Better targeting.

Having all the data in plain sight eliminates guess-working and allows you to hyper target your customers.

For example, you can segment all your customer profiles according to objective criteria – demographics, NPS score, RFM segment – and target each cluster specifically with its own campaigns.

Instead of talking to everyone at the same time, now you narrow it down to each individual customer (if you feel the need) with distinct messaging or special offers.

  • Better customers lifecycle management.

No one wants to stack endless supplies of your products. So, you can use SCV to keep tabs of the purchase history of each customer, then create a personalised customer journey for him.

You look at the Average Days Between Transactions metric and set up flows that activate when the customer is ready to buy again.

In turn, the flows increase purchase frequency and customer loyalty – you are not assaulting a customer with poorly-timed offers. Instead, you approach them when the time is right.

Bonus – this is how you become truly customer-centric. By taking care of your customers and making sure they’re actually using your products, before trying to sell to them again.

  • Faster, more accurate marketing analytics.

With all your data aggregated in a single place, and after eliminating unnecessary data, you can monitor an optimise faster and more accurate.

Scattered data brings the risk of mistakes or biased views of your marketing strategy.

With SCV that’s no longer the case, since you can create a more realistic customer profile and watch the prospect move through all cycles of the customer journey.

Also, SCV gives you a better way to prospect customers or see how customers engage with your campaigns.

Reveal helps the single customer view

You need not panic if all this information is a bit overwhelming.

There are customer data platforms out there that do all the work for you. Such a platform, known better as a Customer Intelligence Platform, is Reveal

Customer analytics is no longer reserved for marketing experts – they can become useful and easy to understand for you as well. 

Whatever your business is, choose to understand your audience better, create personalized customer interactions, and increase customer lifetime value.

Reveal by omniconvert.

Optimize your Customer Lifetime Value strategy

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Frequently Asked Questions About Single Customer View

What does the term single customer view mean?

A single customer view represents an aggregated representation of the data you’re holding about your customers. This representation can be viewed in one place – such as a single page.

How do you build a single customer view?

To create a successful single customer view, you need to eliminate data silos, create a process that integrates cross-channel data and give this new information to all relevant employees.

What are the benefits of single view of customer?

SCV helps you collect data from any channel, eliminate unnecessary data, eliminate guess work and enhance your customer retention rate. 

What is SCV in marketing?

In marketing, SCV can mean all your customer profiles combined and aggregated in a single place. You can get golden insights from all this data and deploy smarter, more profitable campaigns.