How to Find Decision Makers at Companies: The B2B Prospecting Playbook

Buying committees have roughly doubled in the last decade. Gartner now reports that a typical buying group for a complex B2B solution consists of six to ten decision-makers, each of whom enters the process with four or five independently gathered pieces of research. The implication for outbound teams is straightforward. Targeting a single named buyer, then mailing or calling them in isolation, is a pattern that no longer reflects how purchases actually get approved inside the modern enterprise.

Forrester's 2026 research, summarised in their press release on the state of business buying, reframes the picture even further. 94% of buyers in groups of six or more report clear benefits from group buying, including broader perspectives, shared validation of solutions, better budget security, and a higher likelihood of approval. In other words, the buying committee is not a procurement obstacle to be routed around. It is the operating model the modern enterprise relies on, and prospecting needs to be designed for it.

The hard part is that decision authority no longer correlates neatly with seniority. Champions sit at director or senior manager level in most growth-stage SaaS purchases. Procurement now appears in 53% of B2B buying cycles from the very start of the process. Real ratifiers can be CISOs, CFOs, or Heads of Legal who have never appeared in any of the meetings the seller attended. Finding decision makers is no longer a search problem. It is a mapping problem, and the rest of this guide treats it that way.

The cleanest framework for thinking about decision makers in 2026 is the five-role buying group model that Forrester, Gartner, and most modern revenue operations teams converge on. Each role plays a distinct part in moving a purchase from interest to signature, and confusing one for another is the most common cause of stalled deals. If you only ever speak to a champion, you will receive enthusiastic feedback, then watch the deal die at the ratifier. If you only ever speak to the ratifier, you will be told the budget does not exist, because no champion has internally argued the case for it.

The five roles are champion, decision maker, influencer, ratifier, and user. The champion is the internal advocate, often a director or senior manager who feels the pain acutely and is willing to spend political capital to solve it. The decision maker is the executive with budget authority, typically a VP or C-level. The influencer shapes opinion without having direct authority. The ratifier sits in finance, security, legal, or procurement and can veto the deal at the eleventh hour. The user is the team that lives with the consequences of the decision day to day.

On any deal larger than roughly £25,000 of annual contract value, expect at least one person from each of these five categories to be involved. On enterprise deals over £100,000, expect two or three people in some of those categories, especially the ratifier and user roles. Mapping decision makers means filling each row in this table for each target account, not finding a single name to email.

Decision-maker mapping is not a one-size exercise. The same role title means very different things at a 50-person scale-up and a 5,000-person enterprise, and the prospecting motion needs to adapt accordingly. The core principle is that smaller companies have flatter decision graphs and faster cycles, while larger companies have deeper graphs and far more ratifiers.

The right toolkit depends on which role you are trying to identify. For champions and influencers, where signal-density and behavioural data matter, LinkedIn Sales Navigator remains the most accurate source because members maintain their own profiles. Job changes and role updates appear faster on LinkedIn than in any database, and the LinkedIn Sales Navigator decision-maker prospecting guide covers the filter combinations most worth using.

For decision makers and ratifiers, where you need verified contact data at scale, Apollo and ZoomInfo are the workhorses. Apollo's data covers around 275 million contacts and integrates enrichment, sequences, and CRM sync into a single workflow, which is why Leadriver runs Apollo as the primary prospecting platform on most client campaigns. ZoomInfo carries deeper firmographic data for enterprise accounts, and tends to be the better choice when targeting ratifiers in regulated industries. Apollo's own guide on finding decision-makers at target accounts is a useful reference for the platform-specific filters that perform best.

For users, the people who will actually live with the product, niche communities and review platforms tend to surface them faster than databases. G2 reviewers, Reddit, Slack communities, and dedicated practitioner Discord servers all publish enough signal to identify named users at target accounts. This is the layer most prospecting teams ignore, and it is also the layer where champions are routinely created.

The most common decision-maker mistake is to over-trust titles. A VP of Marketing at a 5,000-person company is rarely the buyer for a marketing operations tool; the actual buyer is usually a Senior Director or Head of Marketing Operations who reports two layers below. A Chief Revenue Officer at a 200-person SaaS firm often owns RevOps tooling decisions personally; the same title at a 5,000-person firm owns nothing of the kind. Title alone is a decoy. Title combined with reporting line, scope of responsibility, and tenure is signal.

Static data identifies candidates. Behavioural signals confirm authority. A title search returns a list. A behavioural signal tells you which name on the list is actually empowered to act. The strongest signals in 2026 are public ones, which is why social listening and intent-data layering have become standard practice in modern outbound.

The five behavioural signals worth tracking are public hiring activity, content authorship, conference participation, tool stack disclosures, and cross-team mentions. Public hiring activity shows that a leader controls budget right now; if a Director of RevOps is hiring two RevOps Analysts, they almost certainly own the tooling decision for those analysts. Content authorship, especially LinkedIn posts about a problem area, indicates which leader has the authority and the inclination to advocate publicly for change. Tool stack disclosures, which appear in product reviews, podcasts, and technical talks, indicate vendor-evaluation authority directly.

Leadriver layers these signals on top of database-derived contact lists for every campaign we run. A typical Leadriver outbound list begins with around 1,500 contacts at the title and seniority filter level, narrows to 600 after firmographic and intent filtering, and lands at around 250 named decision makers per role after behavioural verification. The final step is the highest-leverage one. We regularly find that 30 to 40% of the names that pass title filters fail behavioural verification, and we suppress them rather than burn outreach budget on the wrong person.

On every new client campaign, Leadriver runs a four-step mapping workflow before a single message is sent. Step one is ICP role definition, where the client confirms which of the five buying-group roles we are targeting and at what seniority. Step two is firmographic filtering, where we narrow the universe by company size, sector, geography, and any signal-based criteria such as recent funding or hiring activity. Step three is contact enrichment through Apollo and Sales Navigator. Step four, the one that consistently moves campaign performance most, is human verification on a sample.

Human verification on a 5 to 10% sample of the list catches the patterns that platforms miss. A Director title that is actually an individual contributor role at a particular company. A 'Head of' title at a holding company that does not control budget at the operating subsidiary. A VP whose LinkedIn lists the wrong company because they joined within the last 30 days and the platform has not updated yet. These cases are not rare; in our experience they affect 5 to 12% of any large prospecting list, and the cost of mailing them is far higher than the cost of verifying them.

The output of the workflow is a decision-maker map, not a contact list. For every account in scope, we record the named champion, the named decision maker, the named ratifier, and any user-level contacts worth including for influence. This document then anchors the campaign sequence, with separate messaging tracks per role rather than a single template fired at every contact.

Verification before outreach is the discipline that separates sustainable outbound programmes from spray-and-pray sequences. Three checks reliably catch most authority mismatches. First, cross-reference the contact's LinkedIn role description against their current employer's website. If the website lists a different person in that function, the contact almost certainly does not have the authority you think they do. Second, search the company's recent press releases, podcast appearances, and conference talks for the same name. People with budget authority over a category are almost always quoted publicly about that category at some point.

Third, confirm the reporting line. LinkedIn Sales Navigator's TeamLink and Relationship Explorer features now expose enough organisational context to reconstruct most reporting lines for companies above 200 employees, according to industry analysis like Cognism's RevOps and prospecting coverage. If the contact reports through a Chief of Staff or a regional managing director, the actual decision authority almost always sits one or two layers up. This is the single most consistent error in B2B outbound, and verifying the reporting line catches it in roughly 10 minutes per account.

The most expensive decision-maker mistakes in B2B outbound are not failures of effort. They are failures of design. A team that runs a tightly built outbound sequence to the wrong contact will get fewer meetings than a team running a mediocre sequence to the right contact, and the cost of the mistake compounds because the wrong contact will rarely refer the right contact onward. Discipline at the mapping stage drives almost all the variance in outbound results.

According to industry analyses summarised in Corporate Visions' 2026 review of B2B buying behaviour, 90% of decision-makers will not return calls or emails from cold outreach, but 87% will respond to someone introduced through their network or with an established professional brand. The corollary is uncomfortable but useful. If your outbound depends on cold contact alone, you are working against an order-of-magnitude headwind, and the only way to neutralise that headwind is to be more accurate about who you contact and warmer about how you reach them. Multi-touch sequences that combine LinkedIn engagement, email, and the right phone numbers are the closest thing to a structural answer.

Common questions about finding decision makers and mapping buying committees in B2B outbound.