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Sales reps spend 40% of their time finding people to call and 27% on research and admin - company research tools exist to compress both
Top performers research before every outreach touch (82% do it vs. 49% of average performers)
Autonomous account research agents cut per-account research from 30-60 minutes to minutes by pulling signals automatically
Get a demo and discover why thousands of SDR and Sales teams trust LeadIQ to help them build pipeline confidently.
Sales reps know the drill. Before a cold call or first outreach, you research. Check the prospect's LinkedIn. Look for recent news. Dig into their tech stack. Review their team size and headcount growth.
Sales reps spend 40% of their time just finding people to call, according to Gartner. Not researching them. Finding them. And once you find them, you've still got to understand their business well enough to have a credible first conversation. That's where company research tools come in. But most reps treat research as optional because actual account research takes 30-60 minutes per account, and you've got 50 accounts to work.
82% of top performers always research before outreach, versus only 49% of average performers. That's from LinkedIn's State of Sales report. Top performers aren't doing more research because they have more time. They've figured out how to compress the research phase without cutting corners.
Good company research isn't about collecting random facts. You're hunting for friction points. Does their industry face pricing pressure? Did they just expand to a new market? Are they hiring aggressively or shedding headcount? Which technologies are they currently using? Have they recently acquired a competitor?
Good account research covers three layers: firmographic data (what they do, size, revenue, location), technographic data (what tools they use), and trigger events (the things that actually make buying decisions happen). LinkedIn handles some of this. A contact data platform can fill in gaps. But most reps bounce between five different tabs and still miss half the story because nobody told them what signals to look for. If you're running an account-based motion, understanding ABM intent data is what separates a well-researched account from one you're flying blind into.
42% of salespeople rank prospecting as the hardest part of their job. And prospecting is half research. You're trying to determine if someone is even a fit, and the answer lives scattered across their website, SEC filings, Crunchbase, news articles, and social media. Pulling it together manually burns time you don't have.
The second problem is recency. Business moves fast. A company you researched three months ago might have launched a new product, changed their CTO, or gotten acquired. Static data ages instantly. You need company research tools that update. Not monthly. Not weekly. As close to real-time as you can get.
Most sales reps rely on a patchwork of company research tools because no single platform covers everything. Sales reps spend only 28% of their workweek actually selling. Research and admin consume most of the rest.
Most sales reps rely on a patchwork of company research tools because no single platform covers everything. Sales reps spend only 28% of their workweek actually selling. Research and admin consume most of the rest. Here's where the time actually goes.
LinkedIn Sales Navigator is the default starting point for most B2B reps. You can see org structure, recent job moves, headcount trends, and shared connections. The weakness: it tells you almost nothing about financial health, technology stack, or intent. And the daily search limits and paywalls add friction fast.
Crunchbase fills in the funding and corporate event layer. When a company closes a Series B or acquires a competitor, Crunchbase usually has it. Useful for enterprise prospecting where capital events signal expansion budget. Less useful for SMB research where funding data is sparse.
Clearbit (now Breeze Intelligence, part of HubSpot) has long been the go-to for firmographic and technographic enrichment. You can identify what technologies a prospect runs, get company size and revenue estimates, and enrich CRM records automatically. The limitation is that it's primarily a data enrichment layer, not a research workflow.
Bombora handles the intent side. If a prospect company is consuming content related to your category — visiting industry articles, downloading competitor comparisons — Bombora surfaces those signals. Useful for prioritizing which accounts to research further, but it tells you nothing about the individual contacts within those accounts.
Dun & Bradstreet is the standard for enterprise financial and firmographic data. Deep company hierarchies, subsidiary mapping, DUNS numbers, credit data. Overkill for most SMB-focused sales teams, but essential if you're selling into large enterprises where understanding a company's corporate structure matters.
Datanyze and BuiltWith are technographic specialists. They identify what software a company runs by scanning their website and browser data. Knowing a prospect uses Salesforce, runs on AWS, or recently switched to a competitor's billing platform can be powerful context before a call.
LeadIQ sits at the intersection of contact data and account intelligence. You get verified emails and phone numbers, paired with sales trigger tracking that monitors job changes, company expansions, and intent signals across your target accounts. The Prospecting Hub brings the research and the contact data into one workflow so you're not bouncing between tabs. And Lando Agent automates the ongoing research layer entirely, monitoring your accounts in the background and surfacing what matters without requiring a rep to do the digging.
Research and admin combined consume 27% of a sales rep's time, according to Forrester. Over a 40-hour week, that's nearly eleven hours. Most teams don't have the discipline to invest that much time per account, so they cut corners. They skip the research, reach out on vibes, and wonder why their response rates are flat.
Here's what a thorough pre-call research session actually produces for a rep who knows what they're doing. Not a laundry list of facts. A point of view.
They know the company's current growth stage and what that typically means for buying behavior. They know the decision-maker's recent career history and whether they've bought similar products before. They know if the company just went through a leadership change that suggests a new strategic initiative. They know whether the company is expanding into a new market that creates a relevant pain point.
That kind of intelligence doesn't come from a five-minute LinkedIn scan. It requires pulling from multiple company research tools, synthesizing what matters, and connecting it to why your product is relevant right now. That's the 30-60 minute version of research most reps are doing on their best days and skipping on their worst days.
The question is whether there's a smarter way to get there.
Buyers spend only 17% of their time meeting with suppliers, McKinsey found. They've already formed opinions before your first call. Good research is how you earn your spot in the 17%.
The gap between manual and automated company research is where the real opportunity sits. Manual research is thorough but slow. Automated research is fast but often misses context. The goal is both.
Automated company research tools should work in the background. You add an account to your pipeline, and the system immediately pulls together firmographic data, technographic signals, recent news, executive movements, funding events, and anything relevant to your ICP. No human sitting there waiting. No bouncing between tabs. The intelligence appears.
But automation can be blunt. A system might flag that a company just hired a VP of Sales. Is that a good signal or a bad one? It depends on your product. Automation doesn't know the difference. It collects data. You still need judgment to interpret it.
The right model is orchestration. Automated account research connected to your existing workflow, prioritized based on intent signals, surfacing only what matters to your deal. Data collection plus context. Speed plus intelligence.
Lando Agent takes this further by running continuous company research automatically. It monitors your target accounts, refreshes intelligence, and flags changes before you have to hunt for them. A contact changed jobs? Flagged. Company just opened a new office? Surfaced. They switched off a competitor's product? You know about it before your rep's morning call. Job changes in particular are one of the highest-converting triggers in B2B — something we cover in depth in our guide to champion tracking. Not in a noisy dashboard. In a prioritized format that tells your rep what to do with the signal.
The practical impact: reps spend their research time on analysis and strategy instead of data collection. You're not finding the signal. The system is finding it and handing it to you. You're deciding whether it's a fit and how to use it in conversation.
LinkedIn tops the list, followed by whatever contact data platform the organization has licensed. The tools matter less than the workflow. If research is bolted on as an extra step, reps will skip it. If it integrates seamlessly into their normal process, they'll use it.
Continuously for priority accounts. Weekly for mid-tier. Monthly at minimum for the rest. That's where account research automation earns its keep. You can't manually check 200 accounts every day. A system can.
Absolutely. ABM demands deeper research than random outbound prospecting. You need to understand multiple stakeholders, their org structure, their pain points by department, their tech stack, their market position. Good account intelligence tools are built for exactly this kind of multi-threaded research.
Company data is facts: headcount, revenue, funding, technologies used. Account intelligence adds context: growth signals, hiring trends, news events, intent data. Company research tools provide data. The best ones provide intelligence that tells you what to do with the data.
Not extensively. But you need enough research to know if someone is worth a call before you make it. Five minutes of research to decide if an account fits your ICP is worth it. Five minutes times 50 prospects a week is nothing compared to the time you waste calling accounts that will never convert.
The reason research and admin consume 27% of a rep's time isn't that reps are bad at research. And once your research is in order, the next question is how to score and prioritize what you find so your reps work the highest-value accounts first. It's that the company research tools they're using require too much manual effort to produce useful output.
Good account intelligence is fast, contextualized, and connected to your workflow. It doesn't live in a separate tab. It doesn't require you to cross-reference three platforms. It flows into your pipeline so you know what to do before you pick up the phone.
Start with LeadIQ free to see how automated contact enrichment and account intelligence change your research workflow. Or book a demo to see how Lando Agent runs company research continuously so your team can focus on conversations.