B2B software teams can automate contact discovery by,
- Establishing an ICP (Ideal Customer Profile),
- Ensuring contact data in existing databases (especially CRMs) is up-to-date and complete,
- Partnering with a data cleaning and enrichment partner that seamlessly integrates with their business systems and existing workflows, to feed and sync new data as it appears.
Before automating any data discovery process, though, it is important to set the right foundation - especially for AI-ready data. New discoveries about existing customers, or the discovery of net new prospects are only as good as the quality of your current data. So it makes sense to start with assessing your existing databases for inconsistencies and incompleteness, before moving forward.
Know what your ideal customer looks like
Before you begin automating contact discovery, you need a clear understanding of who you are trying to reach. This starts with defining your ICP (ideal customer profile), and the caliber of customer most likely to benefit from your product, eventually generating long-term value for your business.
Your ideal customer profile should go beyond broad firmographic details like industry or company size. The most effective B2B software teams also identify:
- Common pain points and business challenges,
- Typical buying triggers and behavior patterns,
- Technologies already in use,
- Geographic focus areas,
- Budget ranges,
- Influencer and decision-maker roles involved in the buying process.
The more specific your ICP, the easier it becomes to automate prospect discovery with accuracy. Instead of collecting large volumes of irrelevant leads, your enrichment and prospecting solutions can focus on surfacing high-fit accounts and contacts that align with your sales goals.
A well-defined ICP also improves sales and marketing alignment, making campaigns more targeted and helping your sales team prioritize outreach more effectively.
Keep records consistent, company wide
Data consistency is critical when multiple teams interact with the same CRM or customer database. Even small inconsistencies, such as duplicate company names, inconsistent job titles, or incomplete records can create reporting errors, fragmented customer histories, and failed automations.
CaliberMind reports that marketers waste 21% of budget on bad targeting. So the risk of lost budgets (as well as time and effort) remain concerningly high, owing to poor quality data. To avoid this, establish standardized data entry rules across departments. This includes defining:
- Required fields for leads and accounts,
- Naming conventions for companies and contacts,
- Standard dropdown values for industries, territories, and deal stages,
- Processes for updating or archiving records.
Consistency becomes even more important as automation and AI-driven workflows are introduced. Automated enrichment tools rely on clean, structured data to accurately match and update records. If existing CRM data is disorganized, enrichment tools may create duplicate records or introduce inaccuracies rather than solve them.
As a side note: treating shared ownership of CRM hygiene across sales, marketing, customer success, and RevOps teams also helps ensure that data quality remains high over time.
Use a combination of automated validation and manual verification
Automation significantly improves the speed and scale of contact discovery, but no data system is perfect. Email addresses change, employees switch roles, companies rebrand, and databases can quickly become outdated.
That is why high-performing B2B software teams combine automated validation with human oversight.
Automated validation tools can:
- Verify email deliverability,
- Detect duplicate records,
- Flag incomplete fields,
- Identify outdated contact information,
- Sync updated data across systems in real time.
Further, manual verification, where a person calls prospects to confirm their availability and position in a specific company or industry, elevates the utility value of data. When SDRs call leads that have been verified this way, the likelihood of having a productive discussion increases.
Although manual verification is (ironically) a significant step in the contact discovery process, it is highly effective, thereby giving customers a satisfying return on their investment. As a result, YourICP specializes in delivering manually verified leads through its human-led quality assurance team, going a step further from routine, automated validation.
In turn, our customers have experienced a 4.5x increase in connect rates, while enjoying 50% savings on data provider spend at the same time. As a long-standing sales prospecting partner to B2B software teams, YourICP, through DiscoverICP (our net-new contact discovery solution) focuses on quality over sheer volume, delivering leads that:
- Fit your ICP,
- Are automatically validated AND manually verified.
But we don't stop there. By integrating with your CRM, database or other customer support systems, we'll continue to feed net-new leads into the platforms you depend on everyday. This way, your sales team has a continuous pipeline of high-quality leads they can spark discussions with, for engagement and subsequent conversion.
Interested in finding precise, net-new contacts for your outreach objectives, with DiscoverICP? Sign up or login here, to find ideal-match prospects that are tailored to your ICP.