How to Build, Enrich, and Track Signals for Smarter Prospecting
The Signals Shift — Jamie Shanks
Most B2B companies maintain a database or CRM full of leads and customers. The problem? Most of these databases are not living—they slowly go stale. In fact, a typical B2B contact database can decay at roughly 3% per month, as people change jobs, titles, phone numbers, and emails. Over a year, that means nearly one-third of your contacts might be outdated! When your data lacks freshness and context, your revenue teams are essentially flying blind.
Why do enrichment and signals matter more than ever? Because timing is everything in go-to-market strategy. Imagine knowing the moment a prospect changes jobs, or getting alerted when a target account raises a new funding round. These data points—or signals—offer the context that turns lukewarm leads into hot opportunities. Without signals, even a large contact list can yield poor results. With the right signals, a smaller list can outperform by focusing your outreach at the perfect time with the perfect context.
In this newsletter, we’ll explore how to transform your static database into a dynamic, signal-driven growth engine. You’ll learn about common data challenges businesses face, insights straight from customer interviews, our step-by-step process for building and enriching a signal-rich database, the tools that make it possible, and real before-and-after success stories. By the end, you’ll see why maintaining a database is no longer enough—keeping it alive with signals is now a must-have for smarter growth. Learn, Intelligence in Motion (AI-Powered Sales Systems)
Customer Needs in the Wild: What Teams Are Asking For
Through dozens of client conversations, we’ve identified recurring pain points that sales and marketing teams voice about their data. Here are a few direct quotes and themes from real customers:
- “We don’t know when to reach out.” – Timing is a guess without signal data. Teams struggle to identify the right moment to contact a lead (for example, after a job change or company news).
- “We have too many dead leads.” – CRM lists are full of old contacts who never respond. Data has gone stale, and teams aren’t sure which leads are still viable.
- “We don’t track buyer activity beyond LinkedIn.” – Many rely on a single channel (e.g. LinkedIn) and miss other intent signals (like email engagement, event attendance, or website visits) that indicate a warm prospect.
- “Our contacts are missing key info.” – Profiles often lack critical fields like email, phone number, or location, making it hard to reach people at all. Incomplete data = missed opportunities.
These needs highlight a common thread: without fresh, rich context, teams feel they’re spinning their wheels. They don’t want more leads – they want more informed, actionable leads. The good news? By addressing these needs with a solid signal-enrichment strategy, we can solve each one.
The Enrichment & Signal Creation Process
So how do you turn a static list of names into a living, breathing database teeming with insights? At Get Levrg, our team has developed a systematic process to build, enrich, and track signals in client databases. Here’s a step-by-step look at how we do it:
- Define & Filter Your Target: We start by narrowing our focus to the most relevant accounts and contacts. Using tools like LinkedIn Sales Navigator, we apply firmographic filters — for example, industry, company size (headcount), HQ location, and company type. This defines the universe of companies/contacts that matter to you. Then we layer in role-based filters: seniority level, job titles, department, years in current company, etc. The result is a focused list of prospects that fit your ideal customer profile right now (not last year). This is the foundation for finding useful signals.
- Identify Trigger Signals: Next, we hunt for the actionable events that tell us when and how to reach out. Within Sales Navigator and other platforms, we look for specific triggers, such as: contacts who “Changed jobs in the past 90 days”, companies that just “raised a new funding round”, or prospects who share a previous company/experience with our team (instant rapport!). We also leverage intent data — for instance, Apollo.io can highlight accounts showing buying intent on certain keywords, and tools like Crunchbase or news alerts can flag when a target company announces a big move. The key is layering behavioral and intent signals on top of your static list: job changes, new leadership hires, recent LinkedIn posts or engagement, expansions, new product launches, etc. These signals provide a contextual reason to connect, turning cold outreach into timely outreach.
- Enrich Contact Data: Once we’ve identified high-value people and signal events, we make sure we have complete contact info and background on them. Enrichment involves pulling in missing pieces of data for each contact and account. For example, if we found a decision-maker on LinkedIn but lack their email or phone, we’ll use tools like Apollo.io, Adapt.io, RocketReach, or Voila Norbert to find professional email addresses, direct dials, and even current location. In this step we also add any firmographic details we might not have captured initially (e.g. company domain, industry category, employee count if missing). The goal is to have a 360° view of the contact: not just their LinkedIn profile, but how to reach them and what their company is about. By the end of enrichment, that once-bare record in your CRM is now filled with fresh fields — direct email, phone, title, LinkedIn URL, etc., all verified.
- Validate & Verify: Enriched data is only valuable if it’s accurate. We ensure recency and relevance by QA-ing everything manually and automatically. This means double-checking emails using a service like ZeroBounce to avoid bounces, and even clicking through to a contact’s LinkedIn profile to confirm their details (did they really start a new job last month? Is their listed email domain current?). In many cases, we “waterfall” the data through multiple sources to cross-verify it: if Apollo provides an email, we might cross-check that email via another lookup tool or a quick Google search. If one tool says a phone number is no longer in service, we try an alternative source. This rigorous validation step gives us confidence that when we do reach out, we won’t hit a dead end. The extra time spent here saves countless hours and impressions in wasted outreach.
- Update the CRM & Track Signals: Now we feed the enriched, verified data back into the master database (your CRM or marketing automation system). Each new piece of information and each signal event is logged in the contact’s record. For example, we might add a tag or field for “Recent Job Change: Yes/No” or “Last Enriched: [Date]”. We also make these signals visible to the team — often by creating a dashboard view or smart list (e.g. “Contacts who joined a new company in the last 6 months” or “Prospects at recently funded startups”). This way, sales reps and marketers can prioritize outreach based on signals. The updated CRM now acts as a living system: it not only holds data but also tells stories (who to call now, who might be ready for an upsell, who needs research before the next touchpoint, etc.). Crucially, we schedule regular refresh cycles for this process so the data never goes stale again — it’s an ongoing loop of enrichment.
- (Optional) Automate & Scale: As a bonus step, once the process above is proven, we look to automate repetitive parts to scale up signal tracking. Using a workflow automation tool like Clay, we can string together many of these tasks (search -> find emails -> verify -> upload) into a repeatable sequence. For example, Clay can take a list of LinkedIn profiles, ping multiple APIs (Apollo, Hunter, etc.) to gather emails and social links, send those to ZeroBounce for verification, and then push the final clean data into a Google Sheet or CRM. This kind of automation allows us to monitor signals continuously without heavy manual work. Even if you start manually, building toward automation means your database stays enriched in near real-time. The result: a truly scalable, always-up-to-date signal engine feeding your go-to-market teams.
Tools & Tech Stack for Signal Enrichment
We leverage a robust stack of tools to make the above process efficient and effective. Each tool has a specific role in scraping data, enriching contacts, or tracking and verifying information. Below is an overview of the key tools in our arsenal:
Why this stack? – Using multiple, complementary tools allows us to cross-verify data and fill gaps. For example, LinkedIn gives us the who and the trigger (signal), Apollo/Adapt give us the how to contact, Clay ties it all together at scale, and ZeroBounce gives us confidence in our outreach. The end result is a tech-enabled process that minimizes manual grunt work while maximizing data quality. Also, Don’t Scale Prospecting Until You Clean Your TAM.
Before & After: Signal Success Stories
Nothing illustrates the power of an enriched, signal-driven database better than real-world results. Here are two brief client success stories that show what happens when you bring stale data back to life:
General Labels (Manufacturing) – Before: General Labels, a manufacturing company, had a static list of prospects (e.g. mechanical engineers in target firms) but very little usable info. Many contacts lacked email addresses or phone numbers, and the list had been gathering dust with low engagement. Their sales team was essentially cold-calling into the void.
After enrichment: We refreshed their database by finding current emails and direct phone numbers for these engineers, and even added new relevant contacts that fit their target profile. We also discovered a timely signal: several target contacts had just started new roles at companies that would likely need General Labels’ products. Using that insight, the team reached out offering a free sample kit to these prospects – referencing their recent job move as a conversation starter.
The result: an outpouring of interest. Many of these once-“dead” leads replied positively, with several booking meetings to discuss the sample kit. In fact, this enriched campaign generated so much engagement that it filled General Labels’ sales pipeline for weeks. By simply adding accurate contact info and a timely reason to reach out, a stagnant list turned into a series of warm conversations almost overnight.
Mogul (Music Tech SaaS) – Before: Mogul, a startup platform for tracking music royalties, knew there were important people they wanted to connect with – for example, artist managers and label executives who could become key clients. The problem was their database didn’t have those contacts or any way to reach them directly. They had a few names and LinkedIn connections, but no emails, and no insight into who was actively interested.
After enrichment: We helped Mogul build a targeted list of music industry contacts complete with verified emails and backgrounds. One particular win was identifying the manager of a well-known artist who had shown online interest in royalty tracking (a subtle intent signal we picked up via industry news and LinkedIn activity). We provided Mogul with the manager’s direct email and noted the timing was perfect (the artist had just gone independent—ripe for needing royalty management help). Mogul’s team reached out immediately with a tailored message.
The result: they not only got a response, they landed that manager as a client on their platform. This was a breakthrough deal for Mogul, converting a long-sought prospect into a customer thanks to enriched data. It’s a classic before-and-after: before, they had no way to engage; after, they had the right contact, context, and timing to make a valuable connection.
In both cases, the “before” scenario was a database in decay – incomplete, out-of-date, and passive. The “after” is a database buzzing with accurate contacts and live signals, leading to immediate upticks in outreach success. These stories underscore how enriching data isn’t just an operational task, but a growth tactic that produces measurable improvements (more replies, meetings, and deals).
Visual Workflow & Sample Screenshots
LinkedIn Sales Navigator – Job Change Signal Filter: Track prospects who recently changed jobs
Apollo.io – Buyer Intent & Enriched Contact Profile: Uncover intent signals and verified contact details
Signal Enrichment Workflow Diagram: Our end-to-end signal building process
CRM View – Enriched Contact Records: How enriched data appears inside your CRM
Closing Thought: The Future of Data Signals
Maintaining a database is no longer a set-and-forget task in today’s fast-paced market. The companies that win will be those who recognize that building a database is no longer enough — context is the new conversion multiplier. In other words, it’s the quality and timeliness of your data, not the quantity, that will boost your conversion rates and pipeline.
As you refine your go-to-market strategies, think of your database as a living organism that needs constant nourishment (in the form of fresh signals). Incorporating real-time insights about your leads’ behavior, intent, and business context will make your outreach far more personalized and timely. It transforms marketing campaigns and sales calls from generic to highly relevant. In the near future, leveraging data signals won’t just be a competitive advantage; it will be standard operating procedure for any growth-focused team.
In short, keep your database alive and breathing. Invest in the processes and tools to enrich it continuously. Do this, and you’ll ensure that when an opportunity knocks, you hear it loud and clear — and you’ll be the first to respond. Here’s to a future of signal-driven growth!
