If you’re a business-to-business company preparing to get closer to your customers, we have some information to share with you.
First, you’re hardly alone. Companies are expected to boost their investments in B2B marketing data by 3.8% in 2025, compared with an increase of 2.5% in 2024, eMarketer reports. A good deal of that investment will be earmarked for data acquisition.
Which means to acquire new B2B customers, you’ll likely have to acquire new B2B data. If you are among the companies planning to make this investment, you should know what you’re buying into.
Why Data Acquisition is Important to B2B Marketing Now
B2B data acquisition entails collecting information about business customers through various channels and data sources, then using it to build a reliable marketing database. The acquired data can include details about a company’s financials, the technology it uses, and behavioral patterns that predict purchases, such a website searches.
The more complex and precise the insights, the more relevant the messaging and likelihood of accelerating business growth. For starters, acquired B2B data sets can help you distinguish prospects that best align with your ideal customer profiles. Behavioral data can inform personalized campaigns and product pitches. And B2B targeted marketing lists can ensure your information – including job titles – is accurate.
Altogether, these better-informed insights save your company time and resources, meaning less waste and a higher return on investment. In B2B marketing, companies with high data quality report a 15% improvement in marketing ROI and a 53% gain in customer acquisition, according to B2B Rocket.
Here is our four-step guide to making your B2B data acquisition fuel business growth.
Step 1: Define Your Game Plan
You might be thinking, “Great! Sign us up.” But not so fast. Saving money and improving ROI via B2B data services requires strategy.
To begin with, you’ll want to commit to a method for data acquisition that your company is equipped to manage; one that can identify reliable data sources and then connect the insights.
Those reliable sources can range from supply chain and sales interactions to social media and CRM system analytics. B2B data services such as ZoomInfo and Datarade can furnish you with important third-party data, including extensive prospect lists with email addresses, job titles and more. These providers can help you determine the best sources for detecting trends, patterns and opportunities.
Next, you need to lock in how you plan to integrate the acquired B2B data. This is essential for a comprehensive strategy – 47% of businesses say they have trouble managing data quality when combined from many sources. Proven practices entail detailed navigation charts, which can be produced by integration platforms and customer data platforms.
Lastly, implement guidelines to ensure accuracy and quality through regular data audits.
Step 2: Harness Your Analytics
With your B2B data sources and integration in place, it’s time to use your analytics to gain actionable insights. These insights should provide specific, implementable suggestions that are timely, relevant, easy to interpret and produce measurable outcomes.
Some examples:
- Descriptive analytics – This analysis digs into historical data, providing a summary from which you can map past performances and trends among prospects.
- Predictive analytics – These insights look forward and therefore are essential for better decision-making. You can apply statistical models and advanced algorithms to forecast B2B outcomes and trends.
- Sentiment analysis – This practice captures B2B customer sentiment and preferences by examining textual data in customer feedback, surveys and social media.
- Prescriptive analytics – Used in tandem with the above sources, these insights answer “what’s next?” by producing recommendations for the most promising course of action.
After you run the analytics, monitor the result. Tools for measuring the success of data-driven marketing campaigns include Google Analytics, HubSpot, your own CRM data, and email marketing analytics.
Step 3: Adhere to Data Privacy and Security Guidelines
At every step of data gathering and analysis, adhere to B2B data regulations and protection acts such as GDPR (Europe), CCPA (California) and PDPA (multiple countries).
This is a legal obligation. In 2023, the European Union imposed nearly 500 data protection fines (worth nearly 2.1 billion Euros), as it cracked down on data privacy rights, according to Statista.
Employ proven security measures to ensure the data you collect is secure and confidential, such as anonymization, opt-in permission and training. A good rule of thumb is to review the latest security standards of comparable businesses (or hire a consultant to do so) and upgrade your systems if necessary.
Lastly, be open about your data protection and privacy guidelines. Your B2B customers are entitled to know how you use their data, ideally with examples that underscore the benefits of sharing it. These disclosures should be written plainly, with supportive graphics if possible.
Step 4: Adopt Data-Fueled Customer Acquisition Strategies
Once your data analytics processes and security are in place, your organization can set about leveraging the insights to identify high-value prospects. This undertaking can be a build.
First, segment – Break your audience into groups that share similar B2B characteristics, such as industry, size, location, budget and business challenge. You may target one or several of these segments depending on your product.
Create buyer personas – Home in on needs, pain points and goals within your segments by using surveys, focus groups, web activity and other interactions. The results will form ideal customer personas within each segment, for whom you can tailor you marketing strategies.
Perform competitive analyses – Contextualize your segments and personas within the broader industry to establish how you stand apart competitively. Rely on insights from market trends, competitor activities and industry benchmarks. These insights also can help you detect churn risks.
Personalize – Customize your targeted campaigns using your refined analyses as a guide. Along the way, rely on your prescriptive analytics in Step 2 to ensure your messaging keeps pace with the stages of the buying process.
As in the previous steps, monitor and adjust your analytics based on evolving preferences and trends.
The Future of Data Acquisition in B2B: Our Data-Guided Prediction
Emerging trends suggest that B2B data marketing will continue to grow. If you are among those businesses investing more in B2B data acquisition, be alert to challenges such as privacy protection, insights overload and source quality. The following steps will prepare you for your next stage of data-driven B2B operations:
- Adopt AI, but be smart about it. Just 36% of B2B marketers use AI tech, though 60% recognize its potential, according to a report by Demand Spring. More – 63% – said they lack AI expertise. If you are unsure of your internal ability for AI, hire a third party.
- Be vigilant about data privacy. Prepare for data-use regulations to expand. Ensure your B2B data sources are certified by an independent party that can verify data quality and privacy. The IAPP can provide resources.
- Be prepared to manage more. B2B marketers use an average of 18 data sources and that figure is rising with the adoption of AI. Ensure your team has the analytical resources and capacity to manage more than what you manage now.
Inspect, Rinse, Repeat
Lastly, as advised throughout this blog, monitor your data pipeline and perform regular audits to ensure quality – for you and your B2B prospects. Your B2B data acquisition investments won’t make money on their own. They require experts to perform.