Teams can organize business audiences through multi-dimensional audience segmentation: group people using several characteristics at once rather than relying on a single category. Audience segmentation divides customers into groups based on shared characteristics, behaviors, or preferences 7Audience Segmentation – Definition, FAQs & How ... - HubSpotAudience segmentation is the strategic process of dividing your customer base into distinct groups based on shared characteristics, behaviors, or preferences.hubspot.

Useful dimensions include:

• Firmographics: industry, company size, revenue, location
• Role and organizational level: executive, manager, practitioner, decision-maker
• Needs and goals: problems they need to solve or outcomes they seek
• Behavior: purchases, product usage, engagement, and website activity
• Psychographics: values, interests, attitudes, and motivations
• Communication preferences: language, channel, device, and desired level of detail

A practical process is:

1. Define the business objective—for example, increasing adoption or tailoring a campaign.
2. Choose the characteristics relevant to that objective.
3. Combine them into audience segments, such as “mid-market healthcare companies whose IT managers are evaluating security software.”
4. Create personas or audience profiles describing each segment’s needs, objections, message, and preferred channel.
5. Use tags, filters, or a segment matrix so people can belong to multiple overlapping groups.
6. Test and refine segments based on engagement and conversion data.

For internal business audiences, teams can similarly segment by organizational structure, role, department, technical proficiency, location, and language 1How to communicate to different internal audiencesInternal audiences can be grouped based on organizational structure, interests, technical proficiency, location, language, and more.Missing: characteristics? | Show results with: characteristics?microsoft. The key is to use enough characteristics to make communication relevant without creating segments so narrow that they become difficult to manage.

If “Last Database” refers to a customer or business database used for multi-characteristic segmentation, it can support projects such as:

• Go-to-market and ICP refinement: Identify high-value accounts by industry, company size, geography, role, revenue potential, and fit. Segmentation helps teams determine where to invest and target high-performing customer types 12How to Segment Your DatabasePublished: June 12, 2020 | Last Updated: June 1, 2023 · Written by: Guido Bartolacci · Segmentation is organizing your database by grouping together contacts and companies based on specific characteristics.newbreedrevenue.
• Account-based marketing (ABM): Build account lists by combining firmographics with buying intent, engagement, pipeline history, and web behavior. A multidimensional segmentation engine can bring these signals together for more contextual campaigns 1B2B Marketing Database Segmentation Engine - marqeuNov 20, 2025 · Multi-Dimensional Marketing Database Segmentation Engine is a core capability in Marketing Analytics that powers demand generation campaigns to ...Missing: projects | Show results with: projectsmarqeu.
• Personalized campaign planning: Create separate audiences and messages by buyer persona, needs, lifecycle stage, source channel, or product interest 12How to Segment Your DatabasePublished: June 12, 2020 | Last Updated: June 1, 2023 · Written by: Guido Bartolacci · Segmentation is organizing your database by grouping together contacts and companies based on specific characteristics.newbreedrevenue.
• Lead prioritization and sales routing: Rank or route prospects based on fit, lead score, engagement, location, or purchase readiness.
• Customer lifecycle programs: Separate new prospects, active customers, inactive users, expansion candidates, and churn-risk accounts for onboarding, upsell, reactivation, or retention programs.
• Product and market research: Segment respondents or customers across independent dimensions such as attitudes, behaviors, pricing preferences, media consumption, and brand perceptions 3Multidimensional Market Segmentation - Decision AnalystSegmentation analyses can help identify optimal target markets and can help guide the development of product, positioning, and messaging strategies to reach ...Missing: projects | Show results with: projectsdecisionanalyst.
• Customer-value analysis: Compare revenue, lifetime value, engagement, support issues, and retention across audience groups 12How to Segment Your DatabasePublished: June 12, 2020 | Last Updated: June 1, 2023 · Written by: Guido Bartolacci · Segmentation is organizing your database by grouping together contacts and companies based on specific characteristics.newbreedrevenue.
• Service and customer-success planning: Identify segments experiencing particular product, billing, or support problems so teams can provide more relevant resources 12How to Segment Your DatabasePublished: June 12, 2020 | Last Updated: June 1, 2023 · Written by: Guido Bartolacci · Segmentation is organizing your database by grouping together contacts and companies based on specific characteristics.newbreedrevenue.
• Acquisition and channel optimization: Compare segments by first-touch content, referral source, paid channel, or campaign to determine which acquisition efforts produce the strongest customers 12How to Segment Your DatabasePublished: June 12, 2020 | Last Updated: June 1, 2023 · Written by: Guido Bartolacci · Segmentation is organizing your database by grouping together contacts and companies based on specific characteristics.newbreedrevenue.

The strongest projects are those where multiple data types must be combined—for example, “high-value healthcare accounts, with active buying intent, whose decision-makers engaged with a security campaign.” The available sources describe database-segmentation use cases, but they do not establish what product-specific capabilities Last Database provides; that would depend on its fields, integrations, and privacy controls.

Last Database can support business opportunity mapping by turning business-contact data into a structured view of where demand, prospects, and expansion opportunities exist. Its stated use cases include market mapping, audience segmentation, territory research, company research, and analysis of potential customer groups 9LastDatabase: B2B Email Lists, Phone Data & Business LeadsData can support market mapping, audience segmentation, territory research, company research, and analysis of potential customer groups when used appropriately.lastdatabase.

Practical applications

• Map the total addressable market (TAM): Group companies by industry, location, company size, revenue, or other available attributes to estimate where potential customers are concentrated.
• Identify priority markets: Compare segments to find regions or industries with the highest number of relevant accounts or the strongest fit with the ideal customer profile.
• Build target-account lists: Filter records into qualified prospects for sales territories, ABM campaigns, or market-entry plans. B2B segmentation commonly combines firmographics with technology usage, intent, personas, and buyer-journey stage 1B2B Market Segmentation: Strategy, Examples & Best PracticesYour TAM is the overall revenue opportunity for a product or service and includes all accounts that could find value in your solution if they started using it. Marketing to these companies is akin to the spaghetti-on-the-wall approach.demandbase.
• Find whitespace opportunities: Overlay existing customers and active opportunities on the database to reveal industries, regions, or account types where the business has little current coverage.
• Map buying committees: Identify multiple relevant contacts—such as executives, budget owners, technical evaluators, and end users—within each target organization. B2B purchases typically involve several stakeholders 2What Is Customer Segmentation?The segment definition maps directly to a targeted outreach sequence and LinkedIn ad campaign. Begin with firmographic data (industry, company size, revenue) and layer in technographic data (tech stack) and intent signals as you refine your approach.zoominfo.
• Plan territories and coverage: Assign accounts by geography, vertical, company size, or sales capacity, then identify underserved territories.
• Support competitive-displacement research: Segment companies by their technology stack to find accounts that may lack a category solution or use a competing platform 4Technographic Data: The Complete B2B Guide for 2026Step 3: Segment by tech stack maturity or competitive displacement opportunity. Within your filtered list, separate accounts by stack maturity. Accounts missing the category entirely are gap-fill plays.zoominfo.
• Prioritize outreach: Score accounts using fit, business relevance, role, location, and available engagement or intent signals. A target-account list helps teams focus resources on qualified, in-market companies 1B2B Market Segmentation: Strategy, Examples & Best PracticesYour TAM is the overall revenue opportunity for a product or service and includes all accounts that could find value in your solution if they started using it. Marketing to these companies is akin to the spaghetti-on-the-wall approach.demandbase.

A useful output is an opportunity map with columns such as:

The quality of the map will depend on Last Database’s actual fields, data freshness, matching capabilities, and permitted use of contact data. Those product-specific capabilities are not fully documented in the available source, so teams should validate records before using them for territory, targeting, or revenue decisions.