B2B marketing strategy examples, taken apart

What to take away

What makes an example usable

An example earns its place when it shows a choice, the condition that made the choice work, and what the company gave up. B2B marketing strategy write-ups usually skip the third part.

Nine companies appear below, split by commercial situation. The list runs from Drift and Gong to Atlassian, Microsoft and Veeva. Each entry names a decision and one number, price or requirement you can check.

Category creation: Drift and Gong

Drift sells chat and chatbots for B2B websites. It built conversational marketing before buyers had a budget line for it, taught the problem, defined evaluation criteria, and sold against forms and gate friction. Salesloft bought Drift in 2021, per Salesloft's announcement; the purchase price was not disclosed.

Gong records and analyzes sales calls, and it used that call data as the proof asset instead of analyst reports. Revenue intelligence took its name from that play. Gong raised $250 million at a $7.25 billion valuation in 2021, per the company's funding announcement. Both companies put a named executive in front of the argument.

Gong does not publish list prices, so per-seat quotes are typical. The condition: a problem buyers feel but cannot name. The cost: years of education before demand capture pays.

Competitive displacement: HubSpot against Salesforce

HubSpot entered an established CRM category by targeting the segment Salesforce served worst: small teams that found the incumbent heavy. The contrast was one weakness, not a feature list.

HubSpot's free CRM carries no seat cap, and its Starter tiers run about $15 to $20 per seat per month as of 2026, per HubSpot's published price page. Salesforce list prices run from roughly $25 per user per month for Starter Suite to several hundred for Enterprise and Unlimited editions, per Salesforce's published price list.

Migration proof carried the argument. Free tools and a free tier lowered the switching cost that usually kills displacement plays.

HubSpot's fiscal 2023 revenue passed $2 billion, per its annual report. That is the scale the displacement play reached.

The condition: an incumbent with a known underserved segment. The cost: you inherit the comparison in every deal.

Expansion inside existing accounts: Adobe

Adobe stopped selling perpetual Creative Suite licenses in 2013 and moved those buyers onto Creative Cloud subscriptions, about $60 a month for All Apps for one person as of 2026.

It bought Marketo in 2018 for $4.75 billion, per Adobe's September 2018 announcement, and folded the tool into Adobe Experience Cloud, which quotes per contract rather than per seat. The switch held: Adobe's revenue passed $19 billion in fiscal 2023, almost all of it recurring, per its annual report.

Adoption data inside the account drove which team was approached next. This is account-based marketing applied to a logo you already own. The evidence is usage, not intent data from 6sense or Demandbase.

The condition: a product already in daily use. The cost: renewal risk if the migration is handled badly.

Product-led assist: Atlassian

Atlassian lets teams adopt Jira and Confluence without a sales call. Both products are free for up to 10 users, and Standard plans list near $8 per user per month as of 2026, per Atlassian's published price page. Atlassian's own materials cite more than 300,000 customers.

Sales assist starts when usage crosses a threshold. Set it in named variables: seats active, weeks active, admin count. Compare assisted accounts with a control group that stays self-serve. Atlassian does not publish the conversion rate from self-serve to paid, so that number stays internal.

The condition: a product a single team can adopt alone. The cost: you need instrumentation before you need sales.

Partner-led growth: Microsoft

Microsoft routes a large share of commercial revenue through partners, so partner enablement, lead ownership and conflict rules are settled before sourced pipeline is measured. The Microsoft Cloud Partner Program replaced the Microsoft Partner Network in 2022 and awards designations such as Solutions Partner for Infrastructure. The program went live in October 2022.

Partners transact through the Cloud Solution Provider program and the commercial marketplace. A deal sourced by a partner can carry a different margin and a different renewal date than one sold direct.

Microsoft does not publish partner-sourced revenue, so the results to check are designation counts and marketplace transactions.

The condition: partners reach buyers you cannot. The cost: margin and control over the message.

Regulated purchase: Veeva

Veeva Systems sells CRM and content software into life sciences. It has traded on the NYSE as VEEV since 2013, and its Vault platform holds regulated content and data. Validation, audit trails and specialist review decide the deal, so compliance evidence leads and brand does not.

Veeva's annual report shows revenue above $2 billion in fiscal 2023, nearly all subscription. Name the authority rather than the rule: FDA 21 CFR Part 11 in the United States, EMA Annex 11 in the European Union. Requirements vary by jurisdiction and by regulator, so confirm with the body that governs your buyer.

Renewal and reputation risk: Klaviyo

Klaviyo listed on the NYSE as KVYO in September 2023 and raised about $576 million in the offering, per its listing documents. Its prospectus flagged dependence on commerce platforms such as Shopify among its risk factors. Its free plan covers 250 contacts and 500 email sends a month, per the company's price page.

The FTC's endorsement guidance says a relationship, gift or payment that could affect audience judgment should be disclosed with the endorsement. A customer story is a B2B content marketing format before it is proof.

Not every published play gets repeated. Adobe agreed to buy Figma for $20 billion in September 2022 and walked away in December 2023 after regulators in the United Kingdom and the European Union objected. Read that the same way: a decision, the condition it rested on, and a public ending.

Worked example: adapting the Atlassian pattern

Take the Atlassian pattern into a mid-market SaaS company with no usage instrumentation. Write the constraint, the target account, the buying group, and the problem.

Write the alternative, the promise, the proof, and the channel role. Write the sales action, the primary measure, and the stop condition. Replace every generic element with your own evidence.

Here is one filled in. Trigger: 8 or more active seats, 2 or more admins, 21 days of use. Measure: the share of accounts that reach a paid Standard plan within 90 days, assisted against a self-serve control.

Stop condition: if the assisted group does not beat the control by 20 percent after two quarters, or if cost per assisted win exceeds the direct-sales cost per win, end the assist.

Public standards that map to the named examples

The NIST Privacy Framework starting guide sets out a voluntary process for identifying and managing privacy risk. Use it to assign data and response owners during B2B marketing strategy development. It is not legal clearance. Take the Veeva example: the people who own buyer data and responses are part of the compliance evidence the buyer checks.

The W3C information and relationships explanation says visual structure should also be available to assistive technology. Apply that check to any page you build from an example. On the HubSpot comparison page, the price table has to read in code as well as on screen.

For geographic expansion, the SBA advises teams to revisit target customers, sales plans, competitive advantage, costs and local rules. That makes a new country a different problem from a new campaign. Microsoft's partner route is the case in point: the partner already holds the local customers, the plan and the margin.

Common questions

Are these examples templates I can copy?

No. Each one is a decision plus the condition that made it work. Rewrite the scope, evidence, economics, buying group and measure for your own situation.

Can a competitor example forecast my pipeline?

No. Public examples rarely expose the baseline, costs, attribution settings, selection effects or failed tests. Treat them as mechanism, not performance.

How many examples should a team compare?

Compare enough distinct situations to expose the tradeoff, then take the closest pattern and test its weakest assumption with your own evidence.