8 ways to effectively manage your customer data

Managing customer data is a hot topic. According to one report, consumer data is now the world’s most valuable resource—“the oil of the digital era”—and needs to be treated and safeguarded as such. Failing to do so can result in serious damage.

Consider the ride-hailing service, Uber. The company experienced a data breach in 2016 when hackers accessed the private data of around 57 million people, including 600,000 driving licence numbers. The incident cost Uber $148 million in the settlement alone. It also caused major damage to Uber’s reputation, particularly after the company attempted to hide the breach from the public.

This is not an isolated incident. Other companies, such as Yahoo, Under Armour, Equifax and eBay have been affected by data breaches in recent years. Like most people, you’re probably wondering, how could something like this happen? Simply put, poor customer data management.

Proper data collection and management are absolutely essential for ensuring that your company avoids data breach issues and the resulting loss of customer trust. Furthermore, effective customer data management is beneficial for your business.

This article explains what customer data management entails and the different types of customer data you can collect, along with how to leverage customer data to achieve maximum benefit for your company.

As a bonus, we indicate the eight best practices for effectively managing your customer data:

1. Take security seriously.
2. Gather information ethically.
3. Decide what you really need.
4. Invest in customer database software.
5. Back up your data.
6. Clean up your customer data.
7. Train your team.
8. Think about access.

Let’s get started!

What is customer data management?

Customer data management is the practice of ethically collecting, securely storing and managing a database of customer information for the purpose of improving a company’s overall services, processes and products. The value of effective customer data management can include increased sales, improved customer retention, more effective marketing campaigns, stronger customer relationships and more.

Before collecting customer information, it’s important to understand the various types of data collection and how to leverage each to yield the maximum value for your company.

Types of data collection (and how to extract maximum value)

Different types of data collection can be used to achieve a wide range of business and marketing objectives.

For example, simple one-field buttons can be embedded in a web page to attract top-of-funnel customers looking for more information. Embedded forms on landing pages asking for more detailed customer data are effective at qualifying and converting prospects further down the funnel.

Let’s take a look a few examples of these types of data collection.

Top-of-funnel customer data

For top-of-funnel leads, ask for low-effort, low-consequence information, such as email or first name, or both. Unfortunately, you have a better chance of obtaining unqualified or irrelevant leads by soliciting such general information.

Even so, this type of data collection is very valuable for testing the effectiveness of email campaigns and downloadable resources, such as ebooks. You can do so with the following:

In-line, embedded web page buttons. This type of data collection is often used to encourage website visitors to complete low-effort, low-commitment actions such as:

• signing up for a free product trial,

• subscribing to a newsletter,

• downloading an ebook, a template, or another digital resource,

• speaking with a representative to learn more, or

• watching a product demo.

Below is an example of an in-line web page button encouraging website visitors to start a free trial:

 
As you can see, many in-line CTA (call to action) buttons will require users to complete only one field of customer data, email being the most common.

Pop-up or slide-in lead-generation forms. This is a slightly more aggressive method of customer data collection. Lead-generation forms can be automated to pop up or slide in on a web page, based on customised triggers:

• Time on page: e.g., after a visitor has been on a web page for at least one minute
• Exit: when a visitor initiates leaving a web page by hovering over the “x” button in their browser
• Entrance: the minute a visitor lands on the page; this can be further customised to appear to first-time visitors or potential customers only

Slide-in lead-gen forms generally appear as small boxes at the top, bottom or side of a web page. Pop-up forms, on the other hand, can be customised to either pop up as a small or full-screen box. In the example below, we’re looking at a full-screen pop-up lead-generation form:

 
Remember, you can require customers to complete as many fields of data as you wish, but sticking to one or two will be most effective at capturing top-of-funnel leads.

Bottom-of-funnel customer data

 
This type of customer data is most valuable for qualifying and converting prospects. Because bottom-of-funnel prospects are already interested in your product or service, they are often willing to provide more detailed information to access a resource or learn more. To extract the maximum value from this type of data collection, consider utilising:

Landing-page forms. Dedicated landing pages are often used to promote one product, service or resource. For example, Sell recently released an ebook called “Optimise your Sales CRM to Improve Customer Service.” We created a dedicated landing page for the ebook, describing what it is and what the reader can expect to get out of it.

Sell’s product is a sales CRM, so we know that any user interested in downloading this resource is a potential customer. Furthermore, the act of clicking through to a dedicated landing page tells us the visitor is already interested in the product. Therefore, we can use this opportunity to collect detailed customer data needed to qualify and convert prospects. Take a look:

Data fields can be customized to collect whatever customer data is most qualifying for your specific product or service. That customer information can then be exported direct to your CRM for safe-keeping and future reference.

Current customer data

Current customers have experienced your product or service; they know what’s working and what’s not, what they love about your product, and what they wish was different. The information they provide can help improve your existing products, create new ones, and deliver better customer service.

That’s high-value data. Its results could lead to increased revenue, improved customer retention, and a better understanding of your target audience (and how to sell to them). Obtain valuable current customer data using the following tools/approaches:

Questionnaires. To gain the most value from a questionnaire, avoid asking “yes or no” questions. Rather, construct questions that elicit longer answers in order to gain unique insight.

For example, let’s say your product is a CRM. You recently released an update that changed the layout of the dashboard. You can create a questionnaire inviting feedback from current customers about whether or not they like the change, and why. Example questions might be:

• “What do you like about the new dashboard design?”

• “What do you wish was different, and why?”

The feedback you receive can provide valuable insight into what customers like or dislike about your product, and why. Use this data to make improvements to your product or service—it could result in increased customer retention and revenue.

Follow-up phone calls or feedback forms. This data collection occurs post-event. Your customer has had interaction with your brand or product, and you (as a company) want to know whether that interaction was positive or negative, and why. Examples of possible post-event follow-ups include the following:

• After a customer support ticket has been closed

• After a customer completes a trial or purhcase

• Once a customer has been using a product for a certain time (6 months, a year, etc.)

Follow-up phone calls or feedback forms can be as brief or as involved as you wish, so consider your customer. You’re more likely to get feedback from a busy customer if you ask simple “yes or no” or sliding-scale questions. For example:

• "Did customer support resolve your issue?"

• “Rate your experience from 1-10 (1 being incredibly dissatisfied, 10 being extremely satisfied).”

• “Are you interested in seeing another demo or signing up for a free 7-day trial?”

And remember, if the customer data you collect is negative, you can always follow up with that customer later to find out more.

Regardless of how you collect customer information, the number one best practice remains the same: be transparent.

There’s no quicker way to lose a customer’s trust than to trick them into opting in for emails, offers or products they never wanted in the first place. Every data-collection method should clearly explain why the information is being collected. Disclose clearly what your customers are signing up for or agreeing to before they begin filling in forms, clicking on embedded buttons, or completing questionnaires.

Collecting data: 8 best practices

As we’ve learned from companies like Uber, the collection and management of customer data are not to be taken lightly. Though the information collected can provide a lot of value to companies, the process of collecting it must be done properly. Use the following eight best practices as a guide for ensuring effective customer data management.

1. Take security seriously.

According to one study, the average cost of a data breach is $3.86 million. It’s estimated that small and medium-sized businesses (SMBs) experience average losses of $120,000 per data breach.

When you gather personal data about clients, from their home phone numbers and addresses to details about their company financials, you need to have a plan to keep that information safe. This helps build customer trust and can save your business from a big headache down the road.

Here are some tangible steps you can take to ensure that your customer data is secure:

• Invest in a CRM.

• Invest in a backup system.

• Invest in customer-data training for your employees.

We’ll go into more detail on these below. But if you’re doubting the need for these measures, consider the scandal every time a major brand has a security breach. It almost always involves a drop in customer confidence and a hit to profits. In the EU, there’s also a threat of fines. Investing in the security of your data is an investment in your company’s future, which is money well spent.

2. Gather information ethically.

Facebook received a lot of heat after it was discovered in March 2018 that data firm Cambridge Analytica had harvested the information of 50 million Facebook users without their knowledge. People were outraged, calling for an investigation of the social media company. Confidence in Facebook decreased significantly.

Trust is a major component of building relationships with your leads and clients. The best way to build trust is to be transparent about your data-collection policies. Keeping clients in the dark about what data you’re collecting is, at best, a breach of trust; at worst, it’s unethical. And if clients believe you’ve betrayed them, you may lose their confidence and their business.

Here are a few ways to ethically gain customer data:

• Provide a straightforward survey asking for specific information.

• Allow customers to opt in to share valuable information, such as through a dialogue box.

• Draft a privacy policy to display on your website and other online properties — SBA.gov offers a simple guide for drafting your online privacy policy.

With all these suggestions, keep the customer’s privacy in mind at all times. Customers will value your transparency.

3. Decide what you really need.

Too much data (also known as data saturation) can overwhelm your company with information and hinder decision-making. Hackers can also gain access to data that is not necessary for you to have. On top of that, customer data is often not even utilised. In fact, “between 60% and 73% of all data within a company goes unused for analytics.”

Determining what data to collect requires strategic thinking. The data you gain from your customer needs a purpose. Sit down and decide what information you actually need. Here are some strategic questions to answer:

• How does the data align with your overall company goals?

• How will each piece of data be analysed?

• How will the data eventually contribute to the customer experience?

If you’re collecting information about customers using marketing-automation software, think about the data you really use. For example, do you need both the customer’s email address and phone number? Don’t collect data just because you can.

Adopting a systematic, transparent approach to gathering data helps cut down unnecessary collection. If you obtain only the information that your business really needs to close the sale, you’ll be able to streamline the processes. A cleaner sales process can mean lower overhead and a boost to your overall financials.

4. Invest in customer database software.

Gone are the days when a spreadsheet was the best method for storing customer data. Businesses which take data seriously will store their customer information in a secure database, aka customer relationship management (CRM) tool that’s also GDPR compliant. These tools are designed to make collection and organisation of important intel safe and easy. They can also provide segmented customer insights based on the data, which is a great way to identify opportunities for improvement.

Consider Expensify, a San Francisco-based financial-services company that offers online expense-management services. The company began using Zendesk Sell to store their customers’ information and make sense of the large volume and variety of data. Sell gathered essential pipeline data and the information highlighted excellent opportunities for improvement in the Expensify sales process.

And having a CRM has even more benefits:

• All your data is in one place.

• You can track customer interactions.

• You have a unified view of the customer.

With Zendesk Sell, you can customise many of your data-entry fields to get an accurate snapshot of the information you need most. It’s a tool that has responsible data ownership in mind but also has other benefits, such as organising data, scaling your company, automating everyday tasks, and gaining additional insights from data through analytics. Zendesk Sell also offers demos and a free trial to first-time users. Check it out!

5. Back up your data.

Even though the chances of losing data are high, 58% of SMBs are not prepared for data loss. This statistic is even more alarming when you consider that “60% of SMBs that lose their data will shut down within 6 months.” Data backup and a recovery plan are essential.

You should have a well-guarded backup of all your customer data in case there’s an issue with your system. If you’re careful about finding a secure fail-safe, then you’ll be able to protect your customers and your business.

Here are some questions to consider when making your data-backup plan:

• What is your data-backup budget?

• What type of backup plan is best for your business?

• Where will you store your backups?

• What is your recovery plan?

The right backup keeps customer data safe and makes your business a reliable partner. You’ll also need to test your backup system to make sure everything is working properly.

6. Clean up your customer data.

Customer data can quickly become outdated. According to one source, up to 25% of the average B2B marketer’s database is inaccurate, affecting costs and customer confidence. Along with having a data-backup plan, plan to clean up your data.

What does that mean? Validate and update information such as email addresses, phone numbers and home addresses. Remove duplicates, and delete contacts who are wasting your resources. This kind of data cleansing enhances the value of your current data.

There are several things to consider with data cleansing:

• Perform a data audit. What information do you currently have?

• Avoid silos. Centralise your customer data across departments.

• Make sure that the company data format is consistent.

There are also many automated data-validation tools which can be integrated with your CRM, making it easier than ever to ensure that your data is up to date.

Data cleansing helps you avoid mistakes and ensures that you have high-quality, accurate information about your customers to analyse . Think of data cleansing as part of your quality control.

7. Train your team.

Providing customer-data training to your employees can save money over the long term. London-based marketing agency Bartle Bogle Hegarty (BBH) learned this lesson the hard way. A BBH team member deleted more than 1,000 files when trying to clean up the company’s data. The data was only partially recovered.

Having big ideas about how to collect and protect customer data doesn’t mean much if your team can’t put them into action. Invest time in training and education so your employees know how to handle and interpret data. Creating a data-driven culture benefits your business in the long run.

This is especially true if your business has a BYOD policy that allows employees to work on their personal electronic devices. You’ll need specific policies in place to protect sensitive information. Make sure those policies are going to be easy for your team to follow, but comprehensive enough to be effective.

8. Think about access.

Once you’ve laid a strong foundation for how to gather and protect data across your entire company, the next step within the business is to find a way to make that intel available when you need it.

This is where your CRM choice starts to make a big impact on your operations. You want to be able to securely access data any time, anywhere. Your CRM is a tool to securely take your data with you wherever you go. In addition to helping you avoid a major data crisis, customer-data management helps enhance your customers’ experience.

Data gives customer insights that allow you to analyse your customer segments. You can create personalised recommendations based on this information. Collect and manage customer data responsibly (and strategically), and you will add significant value to your customers and your company.

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