High-Quality B2B Sales Leads Database for Targeted Growth
B2B Sales Leads Database

Invalid, duplicate, incomplete, non-standardized, and non-compliant leads fail to create a scalable sales pipeline and jeopardizes the entire sales process. B2B data cleansing and standardization improves marketing-driven revenue and provides a full-funnel view of customer outreach performance.

Invalid, duplicate, incomplete, non-standardized, and non-compliant leads fail to create a scalable sales pipeline and jeopardizes the entire sales process. B2B data cleansing and standardization improves marketing-driven revenue and provides a full-funnel view of customer outreach performance.

Inaccurate and dirty B2B sales leads database can lead to lengthy sales cycle, diminished ROI, and wasted sales efforts

Inaccurate and dirty B2B sales leads database can lead to lengthy sales cycle, diminished ROI, and wasted sales efforts

Enterprises must deploy ongoing B2B data cleansing services to keep their sales data refreshed, contactable, and relevant for sales prospecting

Enterprises must deploy ongoing B2B data cleansing services to keep their sales data refreshed, contactable, and relevant for sales prospecting

Define the sales and marketing leads database

The first step towards a clean and accurate database starts with defining the ideal customer profile (ICP) for a business. Having clarity about what kind of data should exist within a company’s demand generation database drives their inbound lead generation efforts to generate sales-qualified leads. Having well-defined ICPs drive faster sales cycles, increased conversion rates, and higher average Annual Contract Values and Lifetime Values. It allows the demand generation teams to target high-value accounts with a focus on scalable strategies to engage and convert top-tier accounts.

Develop a data maintenance strategy

It is critical for modern B2B enterprises to orchestrate data maintenance strategies to weed out inaccuracies and clean B2B sales data. Enterprises collect different types of data from multiple online lead generation sources and integrate them into their CRM systems. Therefore, they need a robust data standardization process to normalize all the data coming into their system and weed out inaccurate and incomplete ones. It helps correct data at the source itself and prevents the storage of erroneous data in a company’s customer outreach pipeline.

Next, they need an in-depth profiling strategy to continuously segment and track relevant influencers and decision-makers within their corporate account lists. This helps businesses update their B2B email lists and direct-dial phone numbers of decision-makers across all accounts. Finally, they need a data validation strategy to update and refresh the B2B sales data with new insights and information. Data appending helps businesses define and complete missing information and make the data usable for sales prospecting.

Contact us to buy B2B email lists and contact data of professionals and decision-makers from across 12Mn+ companies.

Prioritize data quality challenges

Companies must prioritize the cleanup of existing top-funnel leads data before employing preventive measures. In order to save the existing data from getting polluted and data cleaning efforts getting wasted, companies must figure out the types of bad data creating the biggest issue for them. They should also examine whether the leads are outside their target account/ideal personas and whether the challenges of data quality pertain to all channels or are specific to certain channels.

Verify legal compliance

One of the often-overlooked aspects of B2B data management is verifying the legal compliance of the leads obtained. It is important for enterprises to obtain opt-in consent from the prospects before sending out marketing communication to them.

Speaking on the importance of data governance, Jazz Leong, Head of Integrated Marketing-APAC, Microsoft, said, “Enterprises must have their partners, and the marketers follow stringent data processing and management guidelines. They must ensure that marketers comply with data protection and privacy policies. Also, companies must obtain opt-in consent for every lead generation campaign, regardless of the geography.”

Eliminate the bad data

Once bad sales data has entered into a company’s CRM, it is important to leverage deeper data cleaning services. The regular B2B data cleaning process involves:

• Removing bounces and unsubscribes from the corporate database to prevent contacting customers who are not interested. It will also ensure ongoing data compliance.

• Deleting leads that do not fit the ideal persona criteria.

• Automating the process of invalidating out-of-date contacts, updating firmographic changes, and updating B2B email lists and phone numbers.