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Sep 20, 2024

Guide to Lead Enrichment using AI Sales Assistants

Guide to Lead Enrichment using AI Sales Assistants

Rahul Kumar

Guide: Lead Enrichment
Guide: Lead Enrichment

TL;DR

Lead enrichment is the process of enhancing your lead data with additional, valuable information to help sales teams better qualify, prioritize, and engage with prospects. By enriching lead data with contact information, firmographics, intent data, technographics, behavioural insights, and account-level details, sales reps can gain deeper insights into their prospect's needs, priorities, and buying signals. This leads to better segmentation, more personalized and effective outreach, and improved conversion rates.

Enrichment typically starts after capturing a lead but should continue throughout the entire sales process, as new data from meetings, emails, and interactions emerge. Many companies make the mistake of only enriching leads at the top of the funnel, missing out on crucial insights that come later in the sales journey. Continuously enriching lead data allows sales teams to adapt their approach based on new decision-makers, updated priorities, or shifting pain points.

AI sales assistant tools can automate this process by extracting key information from emails, meetings, and other interactions, updating CRM records in real time, and offering personalized next-step recommendations. This ensures that sales teams have the most up-to-date and relevant information to drive deals forward efficiently and effectively.

What is Lead Enrichment?

Enriching very simply means to add data and value to something. Lead enrichment means adding data about your leads which is of additional value to the sales team. If lead enrichment is done right, sales reps can understand the extent to which the prospect is qualified and what is the best way to interact with them to close the deal.


Why is it Important?

Lead enrichment helps you improve qualification and routing processes, which in turn tells you which leads to prioritise. Let’s look at a few benefits of lead enrichment:

  1. Identifying high-priority prospects: With properly enriched data, you can see prospects who are more likely to convert. This clarity allows you to utilise your time and efforts more efficiently, maximising returns.

  2. Enhancing personalisation in outreach and follow-ups: We have seen time and time again that personalisation is what helps you get your foot in the door. Personalisation can be done on a team level, company level or prospect level. Proper lead enrichment allows sales reps to personalize their outreach and follow-ups to get more pipeline and closures.


Types of Data you can Enrich

With heaps of data being generated today, it’s really easy to get confused by what is the right data to enrich and what can be ignored. We share a few pointers you can start enriching your leads with.

  1. Contact Information: Contact data is the most sought-after type of data for lead enrichment. It is key to growing your business through prospecting and lead generation campaigns. You can do this on your own or you can use third-party tools to enrich this data. This usually happens as part of the top of the funnel enrichment.

  2. Firmographic Data: Firmographic data provides a deeper dive into the organisations you're targeting. It covers aspects such as industry, company size, location, revenue, and company structure. This type of data is invaluable for segmentation, allowing you to tailor your marketing efforts to specific sectors or organisational profiles.

  3. Intent Data: Intent data tracks online behaviours such as web searches, content consumption, website visits, and interactions. This data type is useful for understanding buying intent, showing you which leads are actively researching solutions like yours. By prioritising these leads, you can engage them with relevant offers at just the right time.

  4. Technographic Data: Understanding the technologies and tools a lead’s organisation uses can give you a competitive edge. Technographic data includes insights into the software and hardware in use, as well as the overall IT infrastructure. This information helps you qualify leads better and tailor your pitches to address specific technological needs or gaps which your product may be able to fill.

  5. Behavioural Data: Finally, behavioural data captures a lead’s past actions, interactions, and engagement patterns across various touch points. This includes email opens, link clicks, website visits, content downloads, and event registrations. Behavioural data can help gauge a lead’s interest level, preferences, and readiness to engage, allowing for more targeted and timely outreach.

  6. Account Data: Account data enrichment focuses on gathering and appending company details as a whole rather than as an individual lead. This includes information like hierarchy, subsidiaries, parent companies, etc.


When Does Lead Enrichment Happen?

Lead enrichment usually happens in the early stages of the sales process, commonly after a lead is captured but before the 1st meeting happens. At this stage, basic information such as the prospect’s name, company, and contact details are gathered. Sales teams and marketers then enhance this data with additional information from various sources, like job roles, company size, industry, etc. This new data helps segment and prioritise leads, understand whether they match your ICP or not and assess the probability of converting.

However, lead enrichment shouldn't end here. Many companies focus on enriching leads at the top of the funnel, but they often fail to continue this process throughout the sales cycle. As leads progress through different stages, new information emerges—like buying signals, pain points, and stakeholder involvement—that could drastically alter the sales strategy. Ignoring this evolving information can lead to missed opportunities for personalisation and engagement.


Why Leads Should be Enriched Throughout the Sales Process?

Most companies make a crucial mistake: they fail to enrich lead records after a prospect enters the sales process. Once a lead is captured, enriched, and qualified, many teams stop updating their information, even though they gain new, critical insights during their ongoing interactions with the lead. Every meeting, email, or call uncovers additional details about the prospect’s challenges, decision-making process, and organisational structure. This information is often neglected, leaving sales teams working with outdated or incomplete data when crafting their next steps.

This leads to missed opportunities because this information is invaluable. For example, learning more about additional decision-makers in the organisation can change the sales approach, as involving key stakeholders early can accelerate deal closure. Moreover, understanding a prospect’s shifting priorities or pain points allows for more personalised follow-ups and recommendations. When this data isn't captured and used, sales teams risk coming across as out of touch or impersonal, which can turn off leads that otherwise might have converted.

Lead enrichment is not a one-time task. It’s an ongoing process which ensures the team is armed with relevant and up-to-date information, in order to seal the deal.

Here’s the challenge: enriching leads manually through the entire sales process is time-consuming and prone to human error. This is where AI assistants come in to save the day!


How AI Sales Assistants Streamline Lead Enrichment

AI has transformed the way sales teams function, easily automating repetitive tasks while extracting valuable insights from customer interactions. AI can be a game-changer here, especially when used for email enrichment or meeting transcripts.

Sales teams no longer have to manually go through heaps of emails and meeting notes. AI sales assistants can do that for you. They do this by automatically scanning interactions while picking up on critical information and enriching the prospect’s information in your CRM. This ensures that all the new data—whether it’s about a lead’s preferences, business challenges, or additional decision-makers—is captured and used to inform your sales strategy.

AI assistants not only make the lead enrichment process efficient — they ensure that no information slips through the cracks. And with the help of these tools, sales teams can ensure they have all the information they need to convert leads into customers.