Blog: Power of Offline Data
in Your Online Marketing Strategy

Matching your customer data to online platforms allows you to create better customer profiles and audiences for more targeted advertising. This leads to improved results and cost savings.

As an organization, you often have a CRM system filled with valuable customer data. However, its true value is realized only when used effectively. We're not just talking about smart data usage in customer interactions; did you know that you can also leverage CRM data online for strategies like a next-best-action approach or excluding a specific group to ultimately save costs? In this article, we'll explain how to approach this.

Challenging but Effective

Organizations possess a wealth of data, including purchase behavior, customer service interactions, contact information, surveys, and more. How convenient would it be to link this data to online (search) behavior to create a comprehensive customer profile? Very convenient, as it turns out. This integration forms unique profiles ideal for personalization, enabling better alignment of marketing efforts with the needs and preferences of your target audience. This results in a more effective return on online media investments. But where do you start? Combining CRM data with online data can be a substantial challenge.

Step 1: Break Down Silos

Surprisingly, the first step is not finding the right technology. It begins with collecting the right data and ensuring that the right departments and colleagues collaborate. When digital marketers on the marketing team collaborate with CRM data specialists, new and more efficient opportunities arise to reach your target audience.

Step 2: Customer Match

The second step involves strategy determination. One of the tactics we recommend is Customer Match. This allows you to recognize customers and prospects on major online platforms like Google and Meta without using third-party cookies. The focus is entirely on first-party data – the data you, as an advertiser, have collected from your customers. With Customer Match, you combine your CRM data with the first-party data of prominent advertising platforms.

How Customer Match Works

When a consumer is logged into the Google environment, they are recognized based on their Google ID. During the creation of this Google ID, the consumer has given permission for specific purposes, such as recognition for relevant ads. Matching a customer database with Google's ID database reveals which of your customers are also in Google's database, having given permission for personalized ads. Customer Match provides an ideal application to reach your customers through the online channel.

You can upload your own data to an advertising platform such as Google or Meta. The data must be encrypted according to the platform's specifications to anonymize it. Only the corresponding IDs are then uploaded to the audience. Google does not distinguish between different data layouts or other deviations in the data. Keep in mind that the matching process lacks intelligence: any difference in the data prevents a match, even though it might be the same consumer in reality.

Advanced matching algorithms, provided by partners like EDM, result in more matches between the customer database and platform IDs, leading to significant benefits:

  • Cost savings – more effective targeting reduces costs.
  • Revenue increase – enhance your Return On Investment. On average, Customer Match leads to a 5.3% revenue increase.
  • Lower Cost Per Acquisition – reduce your CPA with more efficient marketing campaigns.
  • Conversion boost – an improved Return On Ad Spend by showing more relevant ads to customers.
  • Exclusion (personal match) – recognizing customers and not bothering them with irrelevant ads prevents consumer irritation and saves campaign costs.
  • Efficient reach – less waste as you can allocate your budgets more effectively.
  • Next-best-action strategy – better customer insight allows you to determine the right steps for each customer.
  • Acquisition – attract new customers by creating lookalike audiences based on your existing customer data.
  • New channel in the customer journey – previously relying on device-related cookies, where it's unclear which person within a household is reached, you can now target specific consumers and engage in targeted dialogue.

Such a matching process is not simple. To make it effective, our advice is to work with a matching partner. A matching partner prevents issues and prioritizes data quality as their main business. Standardizing and unifying data alone leads to a significantly higher matching percentage than doing everything yourself. Moreover, a partner has extensive knowledge of how such a process should be legally regulated.

The beauty of Customer Match is that it is not only highly effective for businesses but also brings many benefits to consumers. Recognized customers now enjoy a more personalized experience, premium content, and tailored recommendations online. It's an easy-to-implement application for including customers in online audiences or search when targeting specific segments. At the same time, it provides the flexibility to exclude customers from certain online campaigns. There's nothing more annoying for existing customers than seeing an ad asking them to become a customer again.

This blog is written by Mark Wilmont. He also wrote a sequel blog: Putting Customer Match into action.