9. Lead Management, CRM and the Sales Pipeline

Introduction and Context

Real estate marketing does not create value merely by generating enquiries. Value is created when an enquiry is understood, responded to appropriately, developed through relevant interactions, and converted into a transaction that is commercially sound and professionally delivered. Lead management is therefore the operational bridge between marketing expenditure and sales performance.

A lead may originate from a property portal, website form, social-media advertisement, walk-in enquiry, referral, broker, telephone call, property exhibition, or existing customer. These sources differ in cost, intent, information quality, and expected conversion rate. Treating every lead identically creates two common failures: high-potential prospects are neglected, while sales teams spend disproportionate time on poorly matched or inactive prospects.

Customer relationship management (CRM) provides the system, processes, and managerial discipline required to manage these interactions. In real estate, a CRM is not simply a database of names. It is an integrated operating system for recording customer information, assigning responsibility, scheduling actions, monitoring progress, coordinating departments, and generating evidence for managerial decisions. The sales pipeline, in turn, represents the movement of opportunities through defined stages from initial enquiry to closure and post-sale relationship management.

This chapter examines the customer journey, lead capture and qualification, allocation rules, nurturing, follow-up, pipeline governance, CRM design, performance measurement, technology, ethics, and managerial application. It also emphasizes that effective systems depend on both technology and human judgement. A poorly designed CRM can automate confusion; a well-designed one can make disciplined customer service visible and measurable.

Learning Objectives

After studying this chapter, the learner should be able to:

1. Map the real estate customer journey from enquiry to closure.

2. Distinguish leads, prospects, opportunities, customers, and inactive records.

3. Design processes for lead capture, deduplication, qualification, allocation, nurturing, and follow-up.

4. Explain CRM architecture and the relationship between CRM workflows and the sales pipeline.

5. Apply qualification frameworks, service-level standards, and pipeline controls to real estate situations.

6. Interpret conversion, velocity, productivity, and quality metrics for managerial decisions.

7. Identify ethical, regulatory, technological, and operational risks in lead management.

8. Recommend improvements to a real estate sales process using data and professional judgement.

The Customer Journey as a Managed Sequence

The customer journey is the sequence of experiences through which a person moves from awareness of a real estate offering to purchase, possession, and continued relationship. Although it is often shown as a linear funnel, actual journeys are iterative. A buyer may return to research after receiving a quotation, pause because of financing concerns, or compare several projects before re-engaging.

A useful operational map contains the following stages:

Awareness and response. The prospective customer first encounters a project, brand, broker, advertisement, recommendation, or market communication. The organization’s immediate task is to capture sufficient information and acknowledge the enquiry.

Discovery and qualification. The sales representative seeks to understand the customer’s purpose, budget, preferred location, property type, timing, financing position, decision-making structure, and readiness. Qualification is not a method of rejecting people; it is a method of matching resources and propositions responsibly.

Consideration and engagement. The prospect receives information, attends a site visit or virtual presentation, asks questions, compares alternatives, and evaluates trust. The quality of communication at this stage strongly affects perceived value.

Opportunity development. The customer expresses a defined interest in a specific unit, configuration, or commercial space. Discussions may include price, payment schedule, incentives, documentation, financing, possession, and customization.

Negotiation and reservation. The organization manages commercial terms, availability, approvals, reservation procedures, and internal authorization. Accurate information is essential because errors at this stage can damage trust and create legal exposure.

Closure and transaction execution. Closure may involve agreement signing, payment, registration, loan coordination, and completion of compliance checks. The sales process is not complete merely because a booking is recorded.

Post-sale relationship. Handover, service requests, referrals, renewals, leasing, resale, and cross-selling extend the customer relationship. Post-sale experience also influences reputation and future lead generation.

At each stage, the organization should define the customer’s likely question, the employee responsible, the information required, the next action, the expected time of response, and the evidence that the stage has been completed. This converts an abstract journey into an accountable workflow.

Core Concepts and Terminology

A lead is an individual or organization that has shown some identifiable interest or has been identified as a possible market contact. A marketing-qualified lead has reached a level of engagement or fit that justifies sales review. A sales-qualified lead has sufficient need, authority, affordability, and timing to merit active sales pursuit. An opportunity is a defined commercial possibility associated with a specific offering and a credible prospect.

A contact is the person or entity record, while an account may represent a household, company, investor group, or organization. A conversion is the achievement of a specified next outcome, such as a completed call, site visit, booking, or sale; therefore, the term must always be interpreted with reference to the conversion event. Lead source identifies the origin of the enquiry. Lead ageing measures the time a lead has remained in a stage or without meaningful activity. Lead velocity refers to the speed at which leads progress through the pipeline.

Nurturing is the planned development of a relationship through relevant communication over time. Lead scoring assigns values to attributes and behaviours to support prioritization. Allocation is the assignment of a lead to a salesperson, team, territory, project, or channel. Service-level agreement (SLA) specifies a required service standard, such as response time or follow-up frequency. Pipeline hygiene means maintaining accurate, current, complete, and properly staged records. Closed-won indicates a completed sale; closed-lost indicates that an opportunity has ended without conversion, preferably with a recorded reason.

Designing the Lead Management Process

Lead capture and data architecture

Lead capture should collect enough data to support useful action without creating unnecessary friction. Typical fields include name, contact details, source, preferred project or location, property purpose, budget range, unit preference, expected purchase horizon, financing requirement, consent status, and assigned owner. The form should distinguish mandatory information from information that can be gathered later.

Data architecture matters because the same customer may enquire through multiple channels. A CRM should therefore support standardized fields, source tagging, unique identifiers, duplicate detection, consent records, and audit trails. A lead without a source cannot be evaluated for campaign effectiveness; a lead without an owner is an organizational failure; a lead without an activity history cannot be managed intelligently.

Qualification as a disciplined conversation

Qualification should combine customer need, commercial fit, readiness, and relationship context. A practical framework is FIT:

• Fit: Does the requirement match the property’s location, type, size, use, and value proposition?
• Intent: What problem is the customer trying to solve, and what actions indicate genuine interest?
• Timing and resources: When does the customer expect to decide, and are budget, financing, authority, and documentation reasonably aligned?

The framework is not a rigid scoring formula. A financially capable investor may have low immediate intent, while a highly motivated buyer may require financing support. The purpose is to determine the most appropriate next action, not to label a person permanently.

Questions should be open, respectful, and relevant. For example, asking whether the property is intended for occupation, investment, or business use can improve recommendations. Asking about the decision process identifies other stakeholders. Asking about the preferred time frame supports appropriate follow-up rather than pressure. Qualification information must be recorded as evidence, not as unsupported assumptions.

Lead scoring and prioritization

Lead scoring usually combines explicit data, such as budget and location, with behavioural data, such as repeated visits to a project page, response to an email, attendance at a site visit, or request for a payment plan. A weighted model may assign higher values to actions that demonstrate commitment. However, scores should be validated against actual outcomes. A prospect who downloads many brochures may be less likely to buy than one who asks for a legal agreement.

Scoring can be used to create priority bands:

• Priority A: strong fit and active intent; immediate personal follow-up.
• Priority B: reasonable fit but incomplete readiness; structured nurturing and scheduled review.
• Priority C: weak fit, uncertain need, or distant timing; automated or low-intensity communication with periodic reassessment.

Scoring should not reproduce social or demographic bias. It should rely on legitimate business variables and remain subject to human review.

Allocation and ownership

Allocation rules should be transparent and operationally practical. Common methods include round-robin distribution, geographic or project specialization, capacity-based allocation, language matching, channel ownership, and account-based assignment. A hybrid approach is often preferable: high-value opportunities may be allocated to specialized advisers, while routine enquiries are distributed automatically.

Ownership must be singular even when several employees contribute. The owner is accountable for the next action and customer communication, while managers may support negotiation, technical clarification, or finance. Reassignments should be recorded, and leads should not be passed repeatedly without customer-facing continuity.

Response and follow-up standards

An SLA should define first response, attempted-contact frequency, escalation, and closure rules. The appropriate standard depends on the channel and operating model, but the principle is consistent: speed must be combined with relevance. A rapid but generic message is not an effective response if it fails to address the enquiry.

Each interaction should produce a documented next step. Examples include sending a floor plan, arranging a call with a finance specialist, scheduling a site visit, confirming a document, or reviewing the opportunity after a stated period. “Follow up later” is not a sufficient activity record. A professional record states when, why, through which channel, and with what intended outcome.

Nurturing and reactivation

Not every lead is ready for immediate sales pursuit. Nurturing may involve market information, location comparisons, construction updates, financing education, possession information, relevant inventory alerts, or invitations to suitable events. Content should reflect the customer’s stage and consent preferences.

Reactivation requires a reason to contact the prospect. A new unit release, revised payment structure, changed availability, or relevant market development may justify re-engagement. Repeated untargeted calls can produce irritation, complaints, and reputational damage. When a customer indicates that contact is not desired, the preference must be respected and recorded.

CRM as an Operating System for Sales Management

A CRM normally contains several connected layers. The data layer stores contact, account, property, source, consent, and transaction information. The process layer defines stages, fields, workflows, approval rules, and tasks. The interaction layer records calls, emails, messages, meetings, visits, documents, and outcomes. The analytics layer produces dashboards, forecasts, cohort analyses, source comparisons, and productivity reports. Integrations may connect portals, websites, telephony, email, messaging, payment systems, marketing automation, document management, and property inventory.

A sound CRM configuration reflects the organization’s actual sales method. Stages should be defined by observable customer or transaction events rather than by vague employee impressions. For example, “site visit completed” is more reliable than “warm lead.” A possible pipeline is:

1. New enquiry captured.

2. Contact attempted or completed.

3. Qualified.

4. Requirement matched and presentation made.

5. Site visit or substantive consultation completed.

6. Unit or property identified.

7. Commercial proposal or negotiation.

8. Reservation or application.

9. Documentation and finance verification.

10. Agreement and payment completed.

11. Closed-won, closed-lost, or placed in an appropriate nurture status.

Organizations should avoid creating too many stages. Excessive granularity increases administrative burden and encourages inaccurate updates. Each stage should have an entry criterion, exit criterion, owner, mandatory information, expected duration, and escalation rule.

Automation can create tasks when a lead enters a stage, send acknowledgements, alert managers about overdue actions, route leads by rules, and prevent opportunities from remaining unworked. Automation should support judgement rather than replace it. A workflow that sends irrelevant messages or repeatedly assigns duplicate leads can undermine the customer experience.

Managing the Sales Pipeline

The pipeline is a managerial representation of future revenue, not a list of names. Its usefulness depends on stage accuracy, realistic probability, current activity, and reliable closing information. A weighted pipeline may estimate expected value as:

Expected pipeline value = opportunity value × probability of conversion

The probability should be based on evidence and, where possible, historical performance by stage, product, source, and customer segment. It should not be inflated merely because a salesperson is optimistic. Forecasting should also consider time to close, cancellations, financing risk, inventory availability, and concentration in a small number of opportunities.

Pipeline reviews should examine movement rather than only totals. Managers should ask: Which opportunities advanced? Which have stalled? What is the next customer action? Are opportunities correctly staged? Which source produces quality rather than volume? What obstacles require cross-functional support? A healthy pipeline has sufficient inflow, progression, and closure; a large but ageing pipeline may conceal weak management.

Important metrics include:

• response-time compliance;
• contact and qualification rates;
• site-visit and proposal rates;
• stage-to-stage conversion;
• win rate and loss reasons;
• average sales-cycle length;
• lead ageing and inactivity;
• cost per qualified lead and cost per acquisition;
• revenue by source, salesperson, project, and cohort;
• cancellation, refund, and post-sale service rates.

Metrics must be interpreted together. A channel with a low cost per lead may produce poor qualification and high cancellation. A salesperson with a high booking count may also have weak documentation quality. Balanced measurement reduces the risk of optimizing one number at the expense of customer value and organizational reputation.

Professional and Organizational Applications

For sales managers, CRM data supports capacity planning, coaching, territory design, inventory decisions, and campaign evaluation. For marketing managers, it connects communication expenditure with qualified opportunities and revenue outcomes. For finance teams, it can support payment tracking, documentation status, and revenue forecasting. For customer-service teams, it provides continuity after booking and handover. Senior management can use cohort and source analysis to decide whether to expand a channel, change a proposition, or revise sales staffing.

A CRM also supports broker and channel-partner management. Separate permissions and records may be required for external partners, including source attribution, customer ownership, commission eligibility, document status, and conflict resolution. Channel records should be sufficiently detailed to prevent disputes about who introduced a customer or whether a lead was already active.

Illustrative Case: Improving Conversion at Meridian Residences

Background

Meridian Residences, a fictional mid-market housing project, generated approximately 1,200 enquiries during a campaign. Management believed that demand was weak because only a small number of bookings were recorded. The sales team used spreadsheets, personal messaging applications, and paper visit registers. Several representatives contacted the same prospects, while many enquiries received no documented follow-up.

Situation and problem

An initial review found that source information was incomplete, duplicate records were common, and the sales manager could not identify how long leads had remained unworked. Representatives classified prospects as “hot,” “warm,” or “cold” without common criteria. Marketing continued to purchase high-volume portal leads, although their eventual booking rate was lower than referrals and site-event leads.

Analysis

The problem was not simply lead volume. It involved four connected weaknesses: poor capture, unclear ownership, inconsistent qualification, and absence of pipeline controls. Management mapped the customer journey and interviewed sales staff. It found that a substantial proportion of leads were waiting for basic information such as floor plans or payment schedules. Others were contacted repeatedly without a recorded customer preference.

Approach and solution

Meridian introduced a cloud CRM with standardized source fields, duplicate detection, consent capture, and automatic allocation based on language and representative capacity. The pipeline was reduced to eight evidence-based stages. A lead could not move to “qualified” without recording purpose, budget range, location preference, time frame, and decision process. Every open lead required a next action and date.

The company established a response SLA, a daily overdue-activity report, and a weekly pipeline review. Marketing and sales jointly reviewed source quality using qualified-lead, site-visit, booking, and cancellation measures rather than enquiry volume alone. Nurture sequences were created for prospects with longer decision horizons, while customers requesting no further contact were suppressed from campaigns.

Outcome

As an illustrative management outcome, the most significant improvement was not merely a higher number of recorded bookings. The organization gained visibility into stage ageing, source quality, and individual workload. Duplicate contact declined, managers could coach representatives using actual interaction histories, and marketing shifted budget toward sources that produced better-qualified opportunities. The case does not imply that CRM alone creates demand; it demonstrates how process clarity enables better use of existing demand.

Learning points

The case illustrates five principles. First, lead volume is not equivalent to commercial opportunity. Second, ownership and next-action discipline are essential. Third, qualification should be evidence-based and consistent. Fourth, marketing and sales must share definitions and outcomes. Fifth, CRM implementation is an organizational change project, not merely a software installation.

Risks, Limitations, and Common Mistakes

A frequent mistake is measuring employees by activities rather than meaningful outcomes. Excessive call targets may produce unwanted contact, inaccurate notes, and customer fatigue. Another mistake is allowing salespeople to maintain private records outside the CRM. This weakens organizational memory and creates risk when staff change roles.

Poor data quality arises from incomplete fields, inconsistent naming, duplicate records, outdated inventory, and delayed updates. Data cleansing, validation rules, ownership, and periodic audits are therefore necessary. A second limitation is model dependence: scores and probabilities are only as reliable as the assumptions and historical data behind them. New projects, unusual market conditions, or changing finance rules may make old patterns unreliable.

Pipeline inflation occurs when opportunities remain open without credible next steps. Managers should use ageing reports, mandatory close dates, loss reasons, and stage evidence to challenge optimistic forecasts. Another risk is over-automation. Automated messages must be relevant, appropriately timed, accessible, and easy to opt out of. Integration failures can also create duplicate messages, incorrect availability, or inconsistent prices.

Ethics, Governance, and Compliance

Lead management involves personal information and therefore requires responsible collection, use, storage, sharing, retention, and deletion in accordance with applicable privacy and consumer-protection requirements. Customers should understand why their information is collected and how they may control communication preferences. Access should follow role-based principles, and sensitive financial or identity documents require stronger safeguards.

Sales personnel must not misrepresent availability, returns, possession dates, approvals, discounts, investment performance, or urgency. CRM records should preserve material communications and approvals, especially where representations may affect contractual decisions. Manipulative scarcity messages, discriminatory allocation, undisclosed referral arrangements, and pressure directed at vulnerable customers are inconsistent with professional conduct.

Governance should specify data ownership, audit rights, retention periods, incident reporting, approval authorities, and procedures for correcting records. AI-generated recommendations or messages should be reviewed for accuracy, fairness, confidentiality, and compliance. Human accountability remains necessary when automated systems prioritize or communicate with customers.

Technology, Analytics, and Emerging Practice

Modern CRM platforms increasingly incorporate predictive scoring, conversation intelligence, automated transcription, sentiment analysis, recommendation engines, and generative AI for drafting messages or summarizing interactions. These tools can reduce administrative work and identify stalled opportunities. They can also reproduce biased historical decisions, expose confidential data, or generate inaccurate statements. Organizations should validate models, limit access, explain material decisions, and maintain human review.

Omnichannel CRM is becoming more important as customers move between portals, websites, messaging applications, calls, physical visits, and virtual tours. The objective is not to contact customers on every channel; it is to preserve context and provide continuity. Analytics is also moving from descriptive dashboards toward experimentation and predictive forecasting. Managers may compare cohorts by source, campaign, project, representative, and time to determine which interventions improve progression.

Emerging practice includes customer data platforms, digital identity verification, virtual consultations, automated appointment scheduling, and integration with transaction and property-management systems. The strategic question is whether each technology improves customer understanding, service quality, compliance, or decision-making. Technology should not be adopted merely because it is available.

Best-Practice Principles

Effective lead and pipeline management rests on a small number of integrated principles:

1. Define every stage through observable evidence.

2. Capture only useful data, but capture it consistently.

3. Give every active lead one accountable owner and one next action.

4. Use qualification to improve relevance, not to stereotype customers.

5. Measure source quality through downstream outcomes, not lead volume alone.

6. Combine speed of response with accuracy and empathy.

7. Review ageing, inactivity, conversion, cancellations, and loss reasons.

8. Keep marketing, sales, finance, legal, and service definitions aligned.

9. Protect personal information and respect communication preferences.

10. Treat CRM adoption, training, governance, and data quality as managerial responsibilities.

Chapter Summary

Lead management converts market interest into an organized process of customer engagement and commercial decision-making. The customer journey extends from awareness and enquiry through qualification, engagement, opportunity development, negotiation, closure, and post-sale relationship. CRM supports this journey by integrating customer data, interactions, workflows, ownership, automation, and analytics.

Effective practice requires accurate capture, consistent qualification, transparent allocation, relevant nurturing, documented next actions, and service-level standards. The sales pipeline must be based on evidence-based stages and regularly reviewed for movement, ageing, conversion, forecast quality, and source performance. Managers should interpret metrics together rather than optimize lead volume or activity in isolation. Ethical data use, privacy, truthful communication, human oversight, and governance are essential. Technology and AI can improve prioritization and productivity, but they cannot substitute for sound process design, professional judgement, and accountable customer service.

Key Terms

Lead: A person or organization identified as a possible customer or showing interest in an offering.

Marketing-qualified lead: A lead whose engagement or characteristics justify review by sales.

Sales-qualified lead: A lead with sufficient fit, intent, readiness, and commercial potential for active sales pursuit.

Opportunity: A defined commercial possibility linked to a specific property or offering.

Customer relationship management (CRM): The coordinated system of data, processes, technology, and practices used to manage customer relationships.

Sales pipeline: The staged representation of active opportunities from initial qualification to closure.

Lead source: The channel or activity through which an enquiry originated.

Lead scoring: The assignment of values to customer attributes and behaviours to support prioritization.

Lead allocation: The process of assigning a lead to an employee, team, territory, project, or channel.

Nurturing: Planned communication intended to develop a relationship until the customer is ready for a next decision.

Service-level agreement: A defined standard for response, follow-up, escalation, or service delivery.

Pipeline hygiene: The maintenance of complete, accurate, current, and correctly staged pipeline records.

Lead ageing: The time a lead has remained in a stage or without meaningful activity.

Conversion rate: The proportion of records that achieve a specified outcome within a defined population and period.

Lead velocity: The speed at which leads progress through defined pipeline stages.

Closed-won: A pipeline status indicating that the intended sale has been completed.

Closed-lost: A status indicating that an opportunity ended without conversion, ideally with a recorded reason.

Weighted pipeline value: Estimated opportunity value adjusted by the probability of conversion.

Pipeline governance: The rules, reviews, controls, and accountability mechanisms used to ensure reliable pipeline management.

Review Questions

Short Answer Questions

1. Distinguish a lead from an opportunity in a real estate CRM.

2. Why is a next action important in lead management?

3. State the three elements of the FIT qualification framework.

4. What is meant by pipeline hygiene?

5. Identify two purposes of a service-level agreement in sales management.

Long Answer Questions

1. Explain the customer journey from initial enquiry to post-sale relationship and identify management requirements at each stage.

2. Discuss the design of an effective lead capture, qualification, allocation, and nurturing process.

3. Explain how CRM architecture supports real estate sales management.

4. Analyze the role of pipeline stages, probabilities, ageing, and conversion metrics in sales forecasting.

5. Discuss the ethical, privacy, governance, and professional issues involved in real estate lead management.

Analytical / Application Questions

1. A project receives many portal enquiries but few site visits or bookings. Design an analytical process to determine whether the problem lies in source quality, response performance, qualification, or sales execution.

2. A sales team has duplicate records, inconsistent “hot/warm/cold” classifications, and many overdue follow-ups. Recommend a CRM workflow and management controls to correct the situation.

3. A predictive lead-scoring system prioritizes customers from historical high-conversion segments but appears to disadvantage other groups. Evaluate the risks and propose a fair, professionally governed approach.

22. Multiple Choice Questions with Answers

Question 1

Which statement best describes the purpose of lead qualification in real estate sales?

A. To reject all prospects who are not ready to buy immediately

B. To match customer needs and readiness with an appropriate sales response

C. To maximize the number of records in the CRM

D. To replace personal interaction with automated messages

Correct Answer: B. To match customer needs and readiness with an appropriate sales response

Question 2

Which CRM record most clearly demonstrates pipeline hygiene?

A. A lead marked “hot” with no supporting information

B. An opportunity with a current stage, owner, next action, date, and interaction history

C. A prospect stored only in a salesperson’s personal phone

D. A closed-lost opportunity that remains active for forecasting

Correct Answer: B. An opportunity with a current stage, owner, next action, date, and interaction history

Question 3

A customer requests a payment plan and identifies a specific unit after completing a site visit. Which pipeline interpretation is most appropriate?

A. The record remains only a new enquiry

B. The record is evidence of a defined opportunity requiring commercial follow-up

C. The record should automatically be classified as closed-won

D. The record should be deleted because the customer has not paid

Correct Answer: B. The record is evidence of a defined opportunity requiring commercial follow-up

Question 4

What is the principal managerial danger of using lead volume as the main marketing-performance measure?

A. It prevents the organization from collecting customer names

B. It may reward channels that generate many enquiries but few qualified or completed sales

C. It makes CRM integration technically impossible

D. It guarantees that sales representatives will over-forecast

Correct Answer: B. It may reward channels that generate many enquiries but few qualified or completed sales

Question 5

Which allocation practice most directly supports accountability?

A. Assigning each active lead one clear owner responsible for the next action

B. Allowing every salesperson to contact every lead without recording activity

C. Transferring leads whenever a representative has a difficult conversation

D. Allocating all leads to the most senior salesperson

Correct Answer: A. Assigning each active lead one clear owner responsible for the next action

Question 6

An opportunity has remained in the negotiation stage for 90 days with no recent customer interaction. What is the most appropriate management response?

A. Increase its probability automatically because it is old

B. Review evidence, ageing, next action, and likely status before forecasting it

C. Delete it immediately without recording a reason

D. Move it to closed-won to protect the forecast

Correct Answer: B. Review evidence, ageing, next action, and likely status before forecasting it

Question 7

Which measure is most useful for evaluating the quality of a lead source?

A. Number of raw enquiries only

B. Number of advertisements displayed

C. Downstream outcomes such as qualified leads, bookings, cancellations, and revenue

D. Number of messages sent by the marketing team

Correct Answer: C. Downstream outcomes such as qualified leads, bookings, cancellations, and revenue

Question 8

Why should CRM automation be subject to human review?

A. Automation can never create tasks or reminders

B. Automated systems may send irrelevant information, reproduce bias, or generate inaccurate communication

C. Human review eliminates the need for data protection

D. Automation is useful only for financial departments

Correct Answer: B. Automated systems may send irrelevant information, reproduce bias, or generate inaccurate communication

Question 9

Which action is ethically appropriate when a prospect clearly requests no further marketing contact?

A. Continue calling through a different salesperson

B. Record the preference and suppress the prospect from relevant communications

C. Increase the frequency of promotional messages

D. Sell the contact details to a channel partner

Correct Answer: B. Record the preference and suppress the prospect from relevant communications

Question 10

What does weighted pipeline value generally estimate?

A. The total number of people in the CRM

B. Opportunity value adjusted by the estimated probability of conversion

C. The cost of every marketing campaign regardless of outcome

D. The number of completed post-sale service requests

Correct Answer: B. Opportunity value adjusted by the estimated probability of conversion