Businesses can define targeting rules for Last Database projects by creating audience segments based on relevant attributes, then attaching conditions and actions to each segment:

• Choose targeting attributes: customer ID, account type, geography, industry, subscription tier, device, project status, or other available metadata.
• Set conditions: use operators such as equals, contains, greater than, before, or is present. Targeting rules commonly select users or accounts based on attributes and contextual criteria.2What are Targeting Rules? - HarnessTargeting rules are predefined criteria or conditions used to direct specific actions or resources towards particular targets within a system.Missing: projects? | Show results with: projects?harness
• Combine conditions: use AND when every condition must be met and OR when any condition qualifies. Multiple conditions in a rule generally narrow the audience because all must match.4Custom Targeting Rules Feature Flag - LaunchDarklySep 14, 2016 · For each feature flag, you can create as many custom targeting rules as you would like. Additionally, you can add multiple conditions to a rule.launchdarkly
• Define the action: determine what happens when a project matches—for example, enable a feature, assign access, route data, show content, or apply a workflow.
• Add exclusions: explicitly exclude restricted customers, internal users, test accounts, or projects that must not receive the action.
• Use percentage targeting when needed: gradually roll out a project or feature to a percentage of a qualifying audience rather than everyone at once.4Custom Targeting Rules Feature Flag - LaunchDarklySep 14, 2016 · For each feature flag, you can create as many custom targeting rules as you would like. Additionally, you can add multiple conditions to a rule.launchdarkly
• Set rule priority: order rules from most specific to most general so an appropriate rule wins when several match.
• Test and monitor: preview which projects qualify, test edge cases, and track outcomes before expanding the audience. Dynamic rules can also adapt to changing user behavior or context.2What are Targeting Rules? - HarnessTargeting rules are predefined criteria or conditions used to direct specific actions or resources towards particular targets within a system.Missing: projects? | Show results with: projects?harness

A typical rule might be:

If project status is “active” and account tier is “Enterprise” and region is “Canada,” then enable the new project workflow for 25% of matching accounts, excluding internal test accounts.

The exact menu names and supported fields depend on what “Last Database” refers to; the available sources describe targeting rules generally rather than a product specifically named Last Database.

Businesses can structure a database request by specifying these criteria:

1. Business objective – What decision, campaign, workflow, or analysis will the data support?
2. Target entities – Define whether the request concerns customers, companies, products, transactions, projects, or another entity. Each entity should have a clear purpose and stable identity.4Database Design Principles & Best Practices (Relational Guide)A database schema should represent real-world business objects and their relationships as separate, well-defined structures. Each entity must have a clear purpose, stable identity, and unambiguous boundaries.exasol
3. Required fields – List essential attributes such as name, industry, location, revenue, customer status, purchase history, or behavioral signals. Audience data may include demographic, behavioral, and preference-based attributes.2How is the Quality of Audience Targeting Data Maintained?Audience targeting data helps businesses define and reach specific audience segments for targeted marketing.datarade
4. Selection rules – State filters precisely, including geography, industry, account tier, activity level, date range, and inclusion or exclusion conditions.
5. Relationships – Explain how records connect—for example, customers to accounts, orders to products, or projects to owners. These relationships should be represented through keys rather than duplicated values.4Database Design Principles & Best Practices (Relational Guide)A database schema should represent real-world business objects and their relationships as separate, well-defined structures. Each entity must have a clear purpose, stable identity, and unambiguous boundaries.exasol
6. Data quality requirements – Specify acceptable levels of accuracy, completeness, duplicate removal, validation, and update frequency.
7. Time period and freshness – Define whether the request needs historical data, current records, or continuously refreshed data.
8. Scale and performance – Estimate record volume, expected query frequency, response-time requirements, and whether the workload is transactional or analytical.4Database Design Principles & Best Practices (Relational Guide)A database schema should represent real-world business objects and their relationships as separate, well-defined structures. Each entity must have a clear purpose, stable identity, and unambiguous boundaries.exasol
9. Output format and delivery – Identify the required schema, file/API format, naming conventions, encryption, and delivery method.
10. Privacy and access controls – State regulatory, consent, retention, anonymization, and user-permission requirements.
11. Timeline and budget – Include the deadline, implementation milestones, ongoing maintenance expectations, and cost limits.
12. Success criteria – Define how the result will be evaluated, such as match rate, data completeness, campaign conversion, or query speed.

A concise request template could be:

“Provide [entity type] records for [geography/segment], including [required fields], where [selection criteria], covering [date range]. Data must be [freshness/quality standard], delivered as [format] by [deadline], with [privacy and access requirements].”

For marketing-related requests, segmenting by industry, role, pain point, or buying stage can make the resulting audience more actionable than using contact details alone.7Why Segmentation Just Became the Top Database Priority for 2026 - Demand Gen ReportThe survey notes that this struggle was “symptomatic of a deeper issue: the quality and structure of underlying data.” You can’t segment effectively if your database is just a bucket of email addresses without context. The move to a segmentation-first approach allows for something powerful: true narrative building. When you segment from the outset—organizing data by industry, role, pain point, or buying stage—you can craft specific narratives for distinct audiences.demandgenreport

Teams can organize requirements before using Last Database by creating a short, shared requirements brief:

1. Define the purpose and scope

   • State the business problem, desired outcome, in-scope data, and what is excluded.
   • Link each requirement to a measurable success criterion so stakeholders can validate it.1Defining the scope and requirements for database decomposition - AWS Prescriptive GuidanceLearn how to define the scope and requirements for a database decomposition project by analyzing interactions, mapping dependencies, and establishing success criteria.amazon2Which requirements gathering template format works Use case agile teams?Focus on business outcomes, not just documentation: Capture the “why” behind each requirement by linking specific business objectives to measurable success criteria that stakeholders can validate throughout the project.monday

2. Identify stakeholders

   • Include business owners, database administrators, analysts, end users, IT/security, and compliance teams.
   • Record who provides the requirement, who approves it, and who will use the result. Cross-functional input helps prevent requirements from reflecting only one department’s needs.5ERP Requirements Gathering: 7-Step Process | ERP ResearchA 7-step ERP requirements gathering process: scope, stakeholder workshops, a discovery questionnaire, functional vs non-functional needs, and scoring. ... Before collecting any requirements, align your project team on what the ERP project is ...erpresearch

3. Document current processes

   • Map existing workflows, data sources, manual workarounds, pain points, dependencies, record volumes, and update frequency.5ERP Requirements Gathering: 7-Step Process | ERP ResearchA 7-step ERP requirements gathering process: scope, stakeholder workshops, a discovery questionnaire, functional vs non-functional needs, and scoring. ... Before collecting any requirements, align your project team on what the ERP project is ...erpresearch
   • Note which systems must connect to Last Database.

4. Create a data inventory For every required data object, record:

   Item	What to specify
   Entity	Customer, account, project, order, product, etc.
   Fields	Name, type, format, allowed values, and whether required
   Identifier	Primary or unique key
   Relationships	How the entity connects to other entities
   Source	System or team that owns the data
   Freshness	Real-time, daily, weekly, or one-time
   Sensitivity	Public, internal, confidential, or regulated

   Requirements analysis should identify business objects, their characteristics, relationships, and governing business rules before database design begins.4Database Requirements Analysis (DBLC First Stage)Before a single table is designed ... This stage involves gathering detailed information from stakeholders, documenting business objects and their relationships, and producing a set of requirements that will guide every subsequent design decision....relationaldbdesign

5. Separate requirement types

   • Functional: searches, filters, imports, exports, reports, integrations, and user actions.
   • Non-functional: performance, availability, scalability, backup and recovery, security, privacy, and auditability.

6. Write precise rules Convert vague requests such as “show active customers” into testable logic:

   Include accounts where status = Active, last_activity_date is within 90 days, and consent is present; exclude test and restricted accounts.

7. Prioritize and resolve conflicts Label requirements Must, Should, or Could. Track dependencies, assumptions, open questions, and conflicting stakeholder requests in a decision log.

8. Add acceptance criteria Define how the team will confirm success—for example, required fields are 98% complete, duplicate records are removed, queries return within two seconds, or approved users can export only permitted data.

9. Validate before implementation Review the brief with stakeholders, test sample records and edge cases, and obtain sign-off. Requirements generally need several iterations because early discussions often omit important details.4Database Requirements Analysis (DBLC First Stage)Before a single table is designed ... This stage involves gathering detailed information from stakeholders, documenting business objects and their relationships, and producing a set of requirements that will guide every subsequent design decision....relationaldbdesign

A practical request format is:

Objective:
Users/stakeholders:
Entities and fields:
Filters and business rules:
Sources and integrations:
Data volume and refresh rate:
Security/privacy constraints:
Priority:
Acceptance criteria:
Owner and deadline:

The available sources do not document Last Database’s exact interface or supported requirement fields, so teams should map this checklist to the platform’s actual project form and capabilities.