Chapter 5: Business Markets and Buyer Behavior

Tomás Rivera, who runs Lumen Cycles' fleet sales, has spent four months on one deal. Front Range University, a large public university in Colorado, wants to replace part of its fleet of gas-powered maintenance carts with cargo e-bikes and to offer e-bikes to staff who commute across its spread-out campus. Tomás has met with the sustainability office, which loves the idea. He has walked the grounds with the facilities manager, who wants to know who will fix a bike with a dead battery at 7 a.m. He has answered forty questions from risk management about battery certification and helmet policy. Procurement has told him that nothing can be signed until a formal request for proposals is published, and that Lumen will be scored against every other bidder on a sheet he hasn't seen yet. Nobody at the university has said no. Nobody has the authority to say yes on their own.

That is what selling to an organization looks like. In Chapter 4. Consumer Behavior, one parent deciding on a Lumen Cargo went through need recognition, search, evaluation and purchase, mostly in their own head and with their own money. When the buyer is an organization, the same steps happen, but they are spread across many people, written down, governed by rules, and often judged by someone who never rides the bike. This chapter explains how business and institutional buying works, who takes part, and how marketers, increasingly with the help of AI, decide whom to talk to and what to say.

5.1 Business markets and buyer behavior

A business market is made up of organizations that buy goods and services to use in producing other products, to run their operations, or to resell to others at a profit. Marketers often call this B2B (business-to-business) marketing, to contrast it with B2C (business-to-consumer) marketing aimed at individuals and households.

Business markets are larger than most students expect. Before a family buys a Lumen Cargo, many business purchases have already taken place: Lumen bought motors, battery cells, frames, tires and packaging from suppliers; it bought software, office space, insurance and advertising; a trucking company bought fuel and trailers to deliver the bikes; and an independent bike shop bought the bike from Lumen to resell. Each step is a business purchase. Because the chain from raw material to finished product involves so many transactions, far more money changes hands in business markets than in consumer markets.

5.1.1 Types of business customers

It helps to sort business customers by what they do with what they buy.

Type of buyer	What they buy for	Lumen example
Producers (manufacturers and service firms)	To make their own products or deliver their own services	A grocery-delivery company buying cargo e-bikes to make deliveries
Resellers (wholesalers and retailers)	To resell at a profit	Lumen's independent bike shops buying bikes to sell to riders
Government	To deliver public services	A city transportation department buying e-bikes for parking enforcement
Institutions (universities, hospitals, nonprofits)	To serve a mission rather than earn a profit	Front Range University buying e-bikes for facilities staff

Notice that Lumen is already in business markets twice. Its fleet program sells to producers, governments and institutions. Its dealer network sells to resellers, and those dealers account for about 35% of Lumen's sales. Treating dealers as customers, with their own needs for margin, inventory turnover, training and service support, is a B2B marketing task, and you'll return to it in Chapter 10. Channels, Retail and the Customer Journey.

5.1.2 How business markets differ from consumer markets

Business and consumer markets share the basic idea of marketing: understand the customer's need and create value for them. They differ in how the market is structured, how demand behaves, and how decisions are made.

Characteristic	Consumer market	Business market
Number of buyers	Many, each buying small amounts	Fewer, often buying large amounts
Location	Spread out	Often concentrated by industry or region
Nature of demand	Direct, based on personal wants	Derived from demand for the buyer's own products
Price sensitivity of total demand	Often elastic	Often inelastic in the short run
Who decides	An individual or household	Several people, often a formal team
Process	Often informal and fast	Formal, documented and often slow
Relationship	Usually transactional	Often long-term, with ongoing service and negotiation
Buying motive	Personal and emotional as well as practical	Mostly economic and practical, though people still have personal motives

A few of these differences deserve a closer look because they change what a marketer does.

Fewer, larger buyers. A consumer brand might have millions of customers. A company that sells jet engines has only a few dozen possible customers in the world, the airlines and aircraft makers. Boeing and Airbus, for example, sell to a limited number of airlines, leasing companies and governments, and a single order can be worth billions of dollars. When each customer is worth that much, the seller can afford to know each one personally, assign dedicated account teams and design offers for one buyer. Losing one customer can hurt badly, too.

Derived demand. Business demand is ultimately driven by consumer demand. The demand for steel depends on how many cars, appliances and buildings consumers and businesses want. Intel's long-running "Intel Inside" campaign is a well-known example of a supplier acting on this idea: by advertising to consumers who would never buy a processor on its own, Intel tried to increase demand for computers that contained its chips, and so increase demand from the computer makers who were its actual customers.

For Lumen's fleet program, demand from delivery businesses depends on how much food and how many parcels consumers want delivered in dense neighborhoods. If home delivery slows, so do fleet orders, no matter how good Lumen's bikes are.

Inelastic and fluctuating demand. In the short run, total demand for many business products doesn't change much with price. A delivery company that needs twenty cargo bikes this spring won't buy forty because the price fell 10%, and won't buy zero if it rose 10%, at least not right away. At the same time, business demand tends to swing more sharply than consumer demand. A small rise in consumer demand can lead a business to order a lot more equipment to expand capacity, and a small fall can lead it to stop ordering altogether. Economists call this the acceleration effect. Sellers of capital equipment live with these swings.

Professional, accountable buyers. Business buyers are often trained purchasing professionals with job titles like buyer, purchasing manager or procurement officer. They follow written policies, compare suppliers on paper and must justify their choices to others. They also tend to buy more directly from producers than consumers do, especially for expensive or technical products.

Long-term relationships. Many business purchases are the start of a relationship, not the end of a sale. Fleet customers need delivery, setup, training, spare parts, repairs and eventually replacement. Business buyers often prefer suppliers they already trust, and may ask suppliers to commit to service levels in a contract. Some businesses also practice reciprocity, choosing suppliers who also buy from them, though this is limited by antitrust and ethics rules in many settings.

5.1.3 Types of buying situations

Not every business purchase is a four-month campaign like Tomás's. The amount of effort a buyer puts in depends on how new and risky the purchase is. A widely used framework sorts business purchases into three buying situations.

• In a straight rebuy, the buyer reorders something routinely, with no changes, often from an approved supplier list or automatically. Office paper, replacement tires and cleaning supplies are typical. Decisions are quick and involve few people.
• In a modified rebuy, the buyer wants to change something: the product's specifications, the price, the delivery terms or the supplier. More people get involved, and suppliers who aren't currently selling to the buyer get a chance to compete.
• In a new task, the buyer is purchasing something for the first time. Risk and uncertainty are highest, so the buyer gathers the most information, involves the most people and takes the longest to decide.

Buying situation	Example for Lumen	What the seller should do
Straight rebuy	A delivery company that already uses Lumen bikes reorders brake pads and tires	If you're the current supplier ("in"), make reordering easy and keep quality and delivery reliable. If you're "out," look for a reason to turn the purchase into a modified rebuy.
Modified rebuy	A corporate campus that leased Commute bikes for three years asks whether to renew, switch brands or add cargo bikes	Defend the account by proving value with data (usage, uptime, service response). Competitors will try to show they can do better.
New task	Front Range University buys e-bikes for the first time	Educate the buyer about the category, help them define requirements, and reduce perceived risk with references, trials and guarantees.

The new-task situation is the seller's biggest opportunity and biggest challenge. Because the buyer doesn't yet know exactly what to ask for, a supplier that helps shape the requirements can gain an advantage before the formal comparison begins. That's why Tomás spent time with the sustainability office and the facilities manager: what they decide they need, such as "certified batteries" and "four-hour service response on campus," may end up in the request for proposals.

Many business buyers also prefer to buy a complete solution from one seller rather than separate pieces from many. This is called systems buying (or solutions selling, from the seller's side). A university doesn't just want bikes. It wants bikes, locks, charging, maintenance, rider training and a plan for replacing old bikes. A supplier that can offer the whole package, alone or with partners, often beats one that offers a better bike alone.

5.1.4 What this means for marketers

These differences shape the B2B marketing mix in practical ways:

• Personal selling and relationships carry more weight than advertising. Mass media may build awareness, but deals are won in conversations, demonstrations and proposals.
• Content that helps buyers justify a decision matters: cost comparisons, total-cost-of-ownership calculators, case studies, safety documentation and references from similar organizations.
• Pricing is often negotiated and tied to volume, contract length and service levels rather than a single list price.
• The real product is often bigger than the physical product. Service, training, financing and reliable delivery can be the deciding factors.

5.2 The buying center and buying process

In most organizations, no single person "is" the customer. The decision is spread across a group whose members play different roles, and it moves through a series of stages that leave a paper trail. Understanding both is the core of B2B marketing.

5.2.1 Who takes part: the buying center

The buying center is the set of people who take part in a business purchase decision. It isn't a formal department on the org chart. It forms around a particular purchase and can change as the purchase moves along. A routine reorder might involve one purchasing clerk. A new-task purchase of an enterprise software system might involve dozens of people across several departments.

Marketers usually describe the buying center in terms of roles. One person may play several roles, and several people may share one.

Role	What they do	At Front Range University
Initiator	Recognizes the need and starts the process	The sustainability office, which has a campus goal to reduce vehicle emissions
Users	Will use the product day to day; often help define requirements	Facilities and grounds staff who will ride the cargo bikes; staff commuters
Influencers	Shape the decision through expertise or requirements	Risk management (safety and liability), IT (if bikes connect to an app), the campus police (where bikes can ride)
Buyers	Have formal authority to select suppliers and negotiate terms	The procurement office, which writes the request for proposals and runs the bid
Deciders	Have the final power to choose	A committee chaired by the associate vice president for facilities
Approvers	Authorize the spending or the decision of the deciders	The budget office and, above a certain amount, the university's board
Gatekeepers	Control the flow of information and access to the buying center	The procurement officer, who forbids contact with evaluators during the bid, and an executive assistant who manages the associate VP's calendar

Several lessons follow from this table.

Different members care about different things. The sustainability office cares about emissions and a story it can tell students. Facilities cares about uptime, repairs and whether its staff will actually use the bikes. Risk management cares about battery safety and liability. Procurement cares about fair process, total cost and whether the contract protects the university. The budget office cares about cost over the life of the contract. A single pitch built around "our bikes are fun to ride" will miss most of them. Good B2B marketers prepare a different message, and often different evidence, for each role.

Buying-center member	Main concern	Evidence Lumen can offer
Sustainability office	Emissions reduction and visible progress on campus goals	Estimated vehicle trips replaced; a short case study from an existing fleet customer
Facilities manager	Uptime and repair burden	Service-response commitments through Lumen Care and local dealers; parts availability
Risk management	Safety and liability	Battery safety certification documents; rider-training plan
Procurement	Fair process, total cost, contract terms	A complete, compliant proposal; clear pricing and warranty terms
Budget office	Cost over the contract's life	A total-cost-of-ownership comparison with the carts being replaced

Some members are hidden. The salesperson may never meet the approvers or some influencers. A legal reviewer or an IT security team can stop a deal late in the process. Part of B2B selling is mapping the buying center: asking "Who else will be involved in this decision?" and "Who could say no?"

Gatekeepers aren't enemies. It's tempting to try to get around gatekeepers. In public procurement, that can get a bidder disqualified. Respecting gatekeepers, and making their jobs easier with complete and clear documents, is usually the better strategy.

Buying centers have grown. Many B2B sellers report that the number of people involved in complex purchases has increased over time, as more departments want a say and as purchases such as software affect more of the organization. Buyers also do much of their research on their own, through websites, reviews, peers and, increasingly, AI tools, before they ever contact a salesperson. That makes the seller's content and reputation, not just its sales team, part of the buying process.

5.2.2 Influences on business buyers

Business buyers respond to four broad kinds of influence.

• Environmental factors: the economy, interest rates, technology change, regulation and competition. A rise in interest rates can delay equipment purchases. A new city climate plan can create demand for e-bike fleets.
• Organizational factors: the organization's goals, policies, procedures, structure and systems. A university that requires three competing bids for any purchase over a certain amount will always run a formal process, no matter how much a department likes one supplier.
• Interpersonal factors: relationships, authority, status and persuasiveness within the buying center. A respected facilities manager may carry more weight than a higher-ranking administrator who doesn't use the product.
• Individual factors: each person's age, experience, personality, risk tolerance and career incentives. A buyer who has been burned by a supplier before may weigh reliability far above price.

5.2.3 Stages of the business buying process

Business purchases, especially new tasks, tend to move through a sequence of stages. Not every purchase goes through every stage. A straight rebuy might skip straight from need to order. But the stages give marketers a map of where a buyer is and what they need next.

1. Problem recognition. Someone sees a need that a purchase could meet. It can come from inside (old carts keep breaking down) or outside (a supplier's case study shows what another campus did).
2. General need description. The buyer describes, in broad terms, what is needed: "a way for grounds staff to move tools across campus without gas vehicles."
3. Product specification. The buyer turns the general need into technical requirements, often with help from engineers or users. This is where value analysis may happen, a careful look at each component to see whether it can be redesigned, standardized or made more cheaply.
4. Supplier search. The buyer looks for qualified suppliers through online searches, trade directories, peer recommendations, industry events and AI-assisted research.
5. Proposal solicitation. The buyer invites qualified suppliers to submit proposals. For complex or public purchases, this is a formal request for proposals (RFP), which describes the requirements, the evaluation criteria and the deadlines.
6. Supplier selection. The buying center evaluates proposals, often with a weighted scoring sheet, and may negotiate with the top bidders.
7. Order-routine specification. The buyer writes the final order or contract: quantities, delivery schedule, return policies, warranties and service terms. Ongoing purchases may use a blanket contract that lets the buyer reorder on agreed terms without a new bid each time.
8. Performance review. The buyer judges how well the supplier performed, which determines whether the relationship continues, changes or ends.

The stages connect to the buying situations. A new task tends to go through all eight. A modified rebuy may skip the early stages and start at specification or supplier search. A straight rebuy may jump from problem recognition to the order routine.

Stage	Who in the buying center is most active	What the seller can do
Problem recognition	Initiators, users	Publish content that helps organizations notice the problem; share results from similar customers
General need and specification	Users, influencers	Offer expertise; help define requirements fairly; provide technical documents
Supplier search	Buyers, influencers	Be easy to find and easy to evaluate; keep reviews and case studies current
Proposal solicitation	Buyers, gatekeepers	Submit complete, compliant, clear proposals on time
Supplier selection	Deciders, buyers, approvers	Present evidence for each member's concerns; offer trials and references
Order routine and performance review	Users, buyers	Deliver on promises; report performance; fix problems quickly

5.2.4 A worked example: how a supplier scorecard decides

Many organizations choose among proposals with a weighted scorecard. The weights reflect what the buying center cares about. The numbers below are illustrative.

Criterion	Weight	Lumen score (1–5)	Weighted	Rival score (1–5)	Weighted
Price over five years	30%	3	0.90	5	1.50
Service and maintenance	25%	5	1.25	2	0.50
Safety and certification	20%	5	1.00	3	0.60
Product fit for cargo work	15%	4	0.60	3	0.45
References from similar organizations	10%	3	0.30	4	0.40
Total	100%		4.05		3.45

The rival wins on price but loses on service and safety, which together carry 45% of the weight. Two lessons follow. First, a seller with a higher price can win if it is stronger on the criteria the buyer weights heavily. Second, the weights matter enormously, so a seller benefits from helping the buyer understand, early on, why criteria like service and safety deserve weight. That is legitimate when it reflects real needs. It crosses an ethical line, and in public procurement often a legal one, when a seller tries to write specifications that only it can meet.

5.2.5 Reaching business buyers

B2B marketers use many of the same tools as consumer marketers, weighted differently. Websites, search, email and content marketing help buyers who research on their own. Trade shows and industry events let buyers see products in person and meet suppliers. Personal selling builds the relationships that close complex deals. And digital channels let buyers handle simple purchases themselves; Amazon Business and the online ordering systems of distributors like Grainger let organizations buy supplies much as consumers shop online.

Many B2B companies organize this effort as a funnel. Marketing generates leads, people or organizations who might buy. Leads that show enough interest and fit become marketing-qualified leads. Those that sales confirms as real opportunities become sales-qualified leads, and some of those become customers. Tracking which leads deserve attention, and in what order, is exactly where AI has had the most visible effect on B2B marketing, as you'll see later in this chapter.

5.3 Government and institutional markets

Governments, universities, hospitals, schools and nonprofits are business customers too, but they buy differently enough that marketers treat them as separate markets.

5.3.1 Government markets

Governments at every level, federal, state and local, buy enormous quantities of goods and services: everything from office supplies and vehicles to construction, software and consulting. The U.S. federal government is one of the largest buyers in the world, and state and local governments together add a great deal more. For a company like Lumen, a city's parking enforcement unit, a parks department or a transit agency's first-and-last-mile program could each be a customer.

Government buying differs from commercial buying in a few important ways.

Public accountability. Governments spend taxpayers' money, so their purchases are open to public review. Spending decisions can be audited, reported in the news and questioned by elected officials. Buyers therefore care a great deal about following the rules and documenting why they chose a supplier.

Formal, rule-bound procedures. Government purchasing follows written rules. At the federal level, the Federal Acquisition Regulation governs most purchasing, and contract opportunities are posted publicly on the SAM.gov website. States and cities have their own procurement codes. Common procedures include:

• Sealed bids, in which suppliers submit prices for a clearly specified product and the lowest responsible bidder usually wins.
• Negotiated contracts or competitive proposals, used for complex purchases where price isn't the only factor, often scored on several criteria as in the scorecard above.
• Pre-approved contract vehicles, such as the federal General Services Administration (GSA) schedules, which let agencies buy from suppliers who have already been vetted and agreed to prices and terms.

Policy goals beyond price. Governments often use purchasing to pursue public goals. Rules may favor small businesses, businesses owned by veterans or members of disadvantaged groups, domestic manufacturing, or products that meet environmental standards. A supplier that qualifies for these programs may gain an advantage. A supplier that doesn't must understand them to compete.

Paperwork and patience. Registering as a supplier, responding to solicitations and meeting compliance requirements takes time and expertise. Payment can be slower than in commercial markets. Many firms decide that government markets are worth it because government customers are stable, contracts can be large and multi-year, and a government reference can impress other buyers.

5.3.2 Institutional markets

The institutional market includes schools, colleges and universities, hospitals, nursing homes, prisons, museums, religious organizations and other nonprofits that provide goods and services to people in their care. Many are public, many are private nonprofits, and some are for-profit.

Institutional buyers share several traits.

• Mission first, and tight budgets. A hospital or a university measures success by its mission: patient outcomes, student learning, research, community service. Budgets are often fixed in advance and hard to change during the year, so the timing of a sale may depend on the budget cycle. A university that sets its budget in spring may be unable to buy anything new in October, no matter how much it wants to.
• A mix of public and private rules. Public universities and hospitals often follow government procurement rules. Private ones have more freedom but still tend to use formal bidding for large purchases.
• Purchasing cooperatives. Many institutions and local governments buy through purchasing cooperatives or group purchasing organizations, which negotiate contracts on behalf of many members. Hospitals commonly buy supplies through group purchasing organizations. A supplier that wins a cooperative contract can sell to many members without a separate bid for each, which makes these contracts valuable and competitive.
• Many stakeholders. Faculty senates, student governments, unions, donors and community members may all have opinions about a purchase. A university buying e-bikes may hear from students who want a campus bike-share and from neighbors worried about bikes on sidewalks.
• Values and visibility. Institutions often care about how a purchase reflects on them. Sustainability, local sourcing, fair labor practices and accessibility can carry real weight in decisions, because the institution's reputation is part of its mission.

5.3.3 Comparing the three kinds of organizational buyers

	Commercial businesses	Government	Institutions
Main goal	Profit	Public service, within law and policy	Mission (care, education, research)
Rules for buying	Set by the company	Set by law and regulation; highly formal	Mix of law (if public) and internal policy
Transparency	Usually private	Often public	Varies; public institutions are often open
Typical process	Varies from informal to formal	Sealed bids, competitive proposals, pre-approved contracts	RFPs, cooperatives and group purchasing
Decision speed	Can be fast	Usually slow	Tied to budget cycles
What wins	Value and relationship	Compliance, price and policy goals	Value, mission fit and reputation

5.3.4 What this means for marketers

Selling to governments and institutions rewards patience and preparation. Practical steps include registering in the right supplier systems, watching for solicitations, learning each buyer's budget cycle, building relationships before an RFP is published (within the rules), and preparing standard documentation (safety certifications, insurance, references and financial statements) so the company can respond to a solicitation quickly. It also rewards honesty: in a public process, exaggerated claims can be checked, challenged by competitors and held against a supplier for years.

5.4 AI in B2B marketing

B2B marketing has adopted AI quickly, for a simple reason: B2B sellers have more potential accounts than their salespeople can possibly call on, and each sales conversation is expensive. Anything that helps a seller decide where to spend scarce sales time, and what to say when they get there, has obvious value. Three uses stand out: lead scoring, account-based marketing and AI sales assistants.

5.4.1 Lead scoring

Lead scoring ranks leads by how likely they are to become customers, so sales teams can focus on the most promising ones first.

Traditional lead scoring uses rules that marketers write by hand. A rule-based system might give points for fit (who the lead is) and engagement (what the lead has done):

Signal	Points (illustrative)
Organization type is a university, corporate campus or delivery business	+20
Organization is in a city where Lumen has dealers	+15
Contact's job title includes facilities, fleet, sustainability or operations	+15
Downloaded the fleet total-cost-of-ownership guide	+10
Visited the fleet pricing page twice in a week	+15
Requested a demo or test fleet	+30
Contact uses a personal email address	−10
Student or job seeker	−40

A lead that scores above a threshold, say 60 points, is passed to sales. The weakness of hand-written rules is that they reflect what marketers think predicts a sale, which may not be what actually does.

Predictive lead scoring uses machine learning instead. The model looks at past leads, which ones became customers and which didn't, and learns which combinations of signals predicted a sale. It can weigh many more signals than a person could, including patterns in website behavior, email engagement, company size and industry, and it can update as new results come in. Customer relationship management (CRM) and marketing automation platforms now commonly offer predictive scoring as a built-in feature.

Predictive scoring has real benefits. It can surface leads that a rule-based system would miss, reduce the time salespeople spend on poor prospects, and give marketing and sales a shared, data-based definition of a "good lead." It also has real limits:

• It learns from the past. A model trained on Lumen's past fleet customers, which were mostly universities and corporate campuses in the Mountain West, may score a city government in Ohio low simply because Lumen has never sold to one. If Lumen wants to grow into new kinds of customers, the model can steer sales away from exactly the accounts the strategy targets.
• It needs enough data. A company with a few dozen fleet customers, like Lumen, has very little history for a model to learn from. Predictions built on small samples can look precise and be unreliable.
• It can be a black box. If a salesperson can't see why a lead scored low, they can't judge whether the reason makes sense.
• It measures interest, not need. A student researching a class project can generate more website activity than a facilities director with a budget and a deadline.

5.4.2 Account-based marketing

In consumer marketing, a company typically markets to a segment and hopes some of its members buy. Account-based marketing (ABM) flips this around. The company chooses a specific set of target accounts first, the organizations it most wants as customers, and then designs marketing and sales efforts for each account or small group of accounts.

ABM fits business markets well because buyers are few, purchases are large and the buying center includes many people. Instead of generating thousands of leads and hoping some come from good accounts, an ABM team might pick fifty universities and twenty city governments, map each buying center, and send each member relevant content: a total-cost-of-ownership study for the budget office, battery certification details for risk management, a case study for the sustainability office.

AI has made ABM more practical in several ways:

• Account selection. AI tools can compare a company's best existing customers with thousands of other organizations and suggest lookalike accounts, ones with similar size, industry, location and characteristics.
• Intent signals. Some data providers track signals that an organization may be in the market, such as many people from one organization reading about a topic, job postings for relevant roles, or news about a new sustainability goal. AI tools summarize these signals and flag accounts that seem to be "in market."
• Research and personalization. AI assistants can summarize an organization's public reports, news and strategy documents in minutes, helping a seller prepare for a meeting or tailor a message.
• Coordination. AI tools can suggest which buying-center members haven't been reached and what content each has seen.

Each benefit carries a matching caution. Lookalike models repeat the biases of the customer list they start from. Intent data is often inferred, sometimes wrong, and raises privacy questions about how it was collected, a topic covered further in Chapter 13. Ethics, Responsible AI and Sustainability. AI-generated research summaries can include outdated or invented details about real organizations and real people. And personalization at scale can feel intrusive or fake if the message makes clear that the sender knows a lot about the recipient but understands little.

5.4.3 AI sales assistants

The third major use is helping salespeople do their jobs. AI sales assistants now commonly:

• draft prospecting emails and follow-ups;
• summarize call recordings and meeting notes, and log them in the CRM;
• suggest next steps based on where a deal stands;
• answer common product questions in a chat window on the company website, and pass serious prospects to a human;
• help draft RFP responses by pulling from a library of approved past answers;
• forecast which deals are likely to close this quarter.

Some of these tasks free salespeople to spend more time with customers. Others raise questions. A salesperson who sends AI-drafted emails without reading them carefully may promise something the company can't deliver. An AI-drafted RFP response may reuse an answer that was true for a past bid but isn't true now. Recording and analyzing sales calls requires consent, and laws on recording differ across states and countries.

5.4.4 The limits of automation in relationship-driven selling

Large B2B deals still depend on trust, and trust is built by people. A facilities manager at Front Range University is about to stake part of her reputation on a supplier. She wants to know that someone at Lumen understands her situation, will answer the phone when something breaks, and will tell her the truth when the answer is inconvenient. Automation can help with preparation, follow-up and paperwork. It can't take responsibility for a promise, read the tension in a meeting where two departments disagree, or decide that the right move is to tell a customer that Lumen's product is a poor fit.

What AI does well in B2B	Where AI falls short	What stays a human judgment
Ranking large numbers of leads and accounts	Learning from small or biased customer histories	Which kinds of customers the strategy should pursue
Summarizing public information about an account	Getting facts about specific organizations and people right without checking	Whether the research is accurate and appropriate to use
Drafting emails and proposal text quickly	Knowing what the company can actually promise	What to commit to in a contract
Spotting patterns in deal data	Understanding politics and relationships inside a buying center	How to handle conflict between buying-center members
Answering routine questions at any hour	Handling exceptions, complaints and high-stakes conversations	When and how to build or repair trust

There is also a buyer-side change to watch. Business buyers increasingly use AI tools of their own: to search for suppliers, compare proposals, summarize RFP responses and draft questions. When an evaluator asks an AI tool to summarize twenty proposals, a supplier's clear, well-organized and accurate document becomes even more important, because vague claims and buried evidence may simply disappear from the summary.

5.5 Lumen Cycles: building the fleet opportunity

Lumen's fleet program makes up only about 10% of its sales, roughly $4.2 million of its $42 million in annual revenue. Dana Okafor, Lumen's VP of Marketing, thinks it could be more. The Cargo is well suited to organizations that move tools, supplies or packages short distances, and fleet sales could smooth out the seasonal ups and downs of consumer demand. They might also support the national Cargo expansion: a campus or city that runs a fleet of Lumen Cargo bikes puts the product in front of thousands of people every day.

Tomás Rivera's small fleet team currently serves about 25 fleet accounts, mostly universities and corporate campuses in Lumen's home markets, plus a few local delivery businesses. Dana asks Marcus Lee, the marketing analyst, and Tomás to look at the program through the lens of this chapter. Their first observations:

• Buying situations differ by customer type. Most delivery businesses buy like small producers, quickly and with a small buying center, often the owner and an operations manager. Universities and cities face new-task purchases with large buying centers and formal RFPs. Existing customers coming up for renewal are modified rebuys, where competitors will be trying to break in.
• The buying center is bigger than the sales team assumed. Lumen's past fleet sales usually started with a sustainability or transportation office. Deals stalled most often in risk management and procurement, two groups Lumen's materials didn't address.
• Service is the deciding issue. Fleet customers can't afford bikes sitting idle. Lumen's network of about 60 independent dealers, which already handles service for consumers, is a potential advantage in cities where dealers are present and a weakness everywhere else.
• AI could help, carefully. Jess Patel suggests using an AI tool to build a list of lookalike accounts based on Lumen's best fleet customers. Marcus points out that with only about 25 accounts, almost all in four metro areas, a lookalike model would mostly find more Mountain West universities. If the plan is national growth, the team will need to choose target account types on purpose and use AI to research them, not to choose them.

Dana's view is that the fleet program is worth a focused push in cities where Lumen has dealer coverage, starting with universities and municipal programs, where one win can lead to references and cooperative contracts.

Your marketing plan: B2B opportunity (fleet program). Add a section to your plan, about one to two pages, that does the following:

1. Choose one or two fleet customer types (for example, universities, city governments, corporate campuses or delivery businesses) and explain why, using the characteristics of business markets from this chapter, including derived demand.
2. Identify the typical buying situation for each type and what it means for how Lumen should sell.
3. Map the buying center for one realistic target organization: list each role, who likely fills it, what that person cares about and what evidence Lumen should offer. A table like the one for Front Range University works well.
4. Describe the buying process you expect, including whether it will involve an RFP, a cooperative contract or a direct purchase, and how long it may take.
5. Explain how Lumen should use AI in lead scoring or account-based marketing for this opportunity, and name at least one limit or risk you will guard against.
6. Propose two or three metrics the fleet team should track, such as the number of target accounts engaged, proposals submitted, win rate or average deal size. You'll refine these in Chapter 6. Marketing Research and Analytics.

If you're writing your plan for a different company, identify a realistic business, government or institutional customer for it. If it truly has no organizational buyers, map the buying center for one of its key suppliers or resellers instead.

5.6 Try it with AI

In this exercise, you'll use an AI assistant to map the buying center for a B2B purchase, and then test the map against evidence about a real organization. The goal is to practice the "verify it" rule: an AI can produce a plausible buying center for almost any purchase, but plausible isn't the same as accurate for a specific organization.

Step 1. Pick a purchase and a real organization. Choose a B2B product and a specific, real organization that might buy it. Good choices are organizations that publish a lot about themselves, such as your own university, a large hospital system, a city government or a large public company. Examples:

• your university buying a new learning management system;
• a city government buying electric buses or e-bikes for staff;
• a hospital system buying patient-scheduling software.

Step 2. Ask the AI to map the buying center. Use a prompt like the one below, replacing the bracketed parts.

Step 3. Check the roles against real evidence. For each role in the AI's map, look for evidence that the organization actually has that job or department and that it would be involved. Useful sources include:

• the organization's own website, especially its staff directory, department pages and organizational chart;
• its procurement or purchasing web page, which often lists rules, thresholds and contacts (public organizations usually publish these);
• current job postings on its careers site or job boards, which describe what roles exist and what they're responsible for;
• professional networking profiles of people in those roles;
• public meeting minutes or board agendas, for large purchases at public organizations.

Record what you find in a table like this:

Role	AI's suggested title or department	Does it exist here? Source	Would it be involved? Evidence	Verdict
Initiator				Confirmed / plausible / wrong / can't tell
Users
…

Step 4. Ask a follow-up about what's missing. Paste in what you found (job titles and departments only, no personal information about named individuals) and ask the AI what it would change.

Step 5. Write a short reflection (about 200 words). Answer these questions:

• Which roles did the AI get right, and which were generic guesses that didn't match this organization?
• Did you find any buying-center members the AI missed, such as a sustainability office, an IT security review, a legal office or a board approval step?
• Did the organization's procurement rules (for example, bid thresholds or required RFPs) change your view of the buying process?
• Following the "disclose it" rule, how would you describe your use of AI if you included this map in a sales plan?

5.7 Summary

Business markets include producers, resellers, governments and institutions that buy goods and services to make products, run their operations or resell. Compared with consumer markets, they have fewer and larger buyers, demand derived from consumer demand, more formal and professional buying, and longer relationships. How much effort a purchase involves depends on the buying situation: straight rebuys are routine, modified rebuys reopen the choice, and new tasks involve the most people, information and risk. Purchases are made by a buying center whose members play the roles of initiator, user, influencer, buyer, decider, approver and gatekeeper, and who each care about different things. Purchases move through stages from problem recognition to performance review, often with formal RFPs and weighted scorecards. Government and institutional buyers add public accountability, formal procedures, policy goals, budget cycles and purchasing cooperatives.

AI has changed B2B marketing most visibly through predictive lead scoring, account-based marketing and AI sales assistants, which help sellers decide where to spend scarce sales time and prepare for it. These tools learn from past data, so they can repeat old patterns, struggle with small samples and get facts about real organizations wrong. Relationship-driven selling still depends on human judgment and trust: deciding which customers to pursue, what to promise and how to handle the people in the buying center. For Lumen, the fleet program is a chance to grow and to support the Cargo's national expansion, provided the team understands the buying centers it is selling to.

5.8 Review Questions

1. List four ways business markets differ from consumer markets. For each, give an example from a company other than Lumen.
2. Explain derived demand. Why should a company that sells cargo e-bikes to delivery businesses pay attention to consumer trends in home delivery?
3. Classify each of the following as a straight rebuy, modified rebuy or new task, and explain your reasoning: (a) a hospital reorders surgical masks from its usual supplier; (b) a city buys its first electric street sweeper; (c) a company whose software contract is expiring invites three vendors, including its current one, to bid.
4. Name the seven roles in a buying center. For a corporate campus considering a Lumen e-bike fleet for employees, identify who might fill each role and what each would care about most.
5. Using the illustrative scorecard in this chapter, suppose the university changed the weights to 50% price, 15% service, 15% safety, 10% product fit and 10% references. Recalculate both suppliers' totals. Who wins now, and what does that tell you about when Lumen should try to influence a buyer's criteria?
6. How do government and institutional buyers differ from commercial businesses? Describe two practical steps a small company should take before trying to sell to a state university.
7. Explain how predictive lead scoring works and describe two of its limits for a company with a small customer history.
8. Discussion: A sales leader says, "Within a few years, AI agents will negotiate most B2B deals with other AI agents, and salespeople will be obsolete." Using the ideas in this chapter, argue for or against this view. Which parts of B2B buying are most and least likely to be automated?