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Business Messaging Strategy
The Meta Certified Business Messaging Strategy (910-101) exam validates a professional’s ability to design, prioritize, integrate, and measure messaging campaigns across Meta platforms, ensuring strategic impact and ROI.
Who Should Take This
Marketing strategists, digital campaign managers, and brand communication specialists who have at least two years of experience building messaging initiatives on Facebook, Instagram, or WhatsApp should pursue this certification. They seek to deepen analytical skills, align messaging with broader marketing plans, and demonstrate measurable ROI to leadership.
What's Covered
1
Domain 1: Business Messaging Opportunities
2
Domain 2: Messaging Use Case Prioritization
3
Domain 3: Messaging Integration in Marketing Plans
4
Domain 4: Messaging Measurement and ROI
What's Included in AccelaStudy® AI
Course Outline
62 learning goals
1
Domain 1: Business Messaging Opportunities
4 topics
Identify Messaging Platform Capabilities
- Evaluate the business messaging capabilities of Messenger, WhatsApp Business, and Instagram Direct including feature sets, audience reach, and use case suitability for different business types.
- Apply knowledge of WhatsApp Business features including business profiles, product catalogs, automated responses, quick replies, and labels to set up an effective business messaging presence.
- Apply Messenger business features including persistent menu, get-started button, greeting text, and automated responses to create a professional messaging experience for customers.
- Apply Instagram Direct business messaging features including quick replies, automated FAQs, and shopping integration to support customer engagement and commerce conversations.
Assess the Business Messaging Landscape
- Analyze the shift in consumer communication preferences toward messaging channels and explain how this trend creates opportunities for businesses to deepen customer relationships.
- Evaluate how different industry verticals including retail, financial services, travel, and healthcare can leverage business messaging to address sector-specific customer engagement challenges.
- Design a business messaging opportunity assessment framework that maps customer journey touchpoints to messaging channel capabilities and identifies high-impact messaging use cases.
Understand Messaging Technology and Automation
- Evaluate chatbot and automation technology options including rule-based flows, keyword triggers, and AI-powered conversational agents for Meta messaging platforms.
- Apply conversation flow design principles including branching logic, fallback handling, and human handoff triggers to create automated messaging experiences that feel natural.
- Design hybrid automation strategies that combine automated responses for common queries with live agent support for complex interactions to optimize cost and quality.
Evaluate Messaging Security and Data Privacy
- Evaluate end-to-end encryption, data retention policies, and privacy compliance requirements across Messenger, WhatsApp, and Instagram Direct to inform messaging platform selection decisions.
- Design data handling and consent management workflows for business messaging that comply with GDPR, CCPA, and other privacy regulations while supporting business intelligence collection.
2
Domain 2: Messaging Use Case Prioritization
5 topics
Prioritize Messaging Use Cases
- Evaluate messaging use cases including lead generation, customer support, appointment scheduling, order notifications, and conversational commerce against business impact and implementation complexity.
- Design a messaging use case prioritization matrix that ranks opportunities by business value, customer demand, technical feasibility, and time-to-launch to create an implementation roadmap.
- Apply customer lifecycle stage analysis to determine which messaging use cases deliver the greatest value at each stage from acquisition through retention and loyalty.
Design Conversational Commerce Strategies
- Design conversational commerce experiences that guide customers from product discovery through purchase completion within Messenger, WhatsApp, or Instagram Direct messaging threads.
- Apply product catalog integration within messaging platforms to enable in-conversation product browsing, selection, and purchase workflows that reduce friction in the buying journey.
- Analyze conversational commerce metrics including conversation-to-purchase rate, average order value from messaging, and cart abandonment recovery rate to evaluate commerce messaging effectiveness.
- Design payment integration strategies within messaging conversations to enable seamless checkout experiences using Meta Pay and third-party payment solutions.
Design Customer Support Messaging Programs
- Design customer support workflows that use automated responses for common inquiries and seamless handoff to human agents for complex issues within Meta messaging platforms.
- Apply automated messaging features including keyword triggers, quick reply menus, and away messages to handle high-volume customer inquiries efficiently while maintaining response quality.
- Analyze customer support messaging metrics including first response time, resolution rate, customer satisfaction scores, and support deflection rate to evaluate support messaging effectiveness.
- Design customer feedback collection workflows within messaging conversations that use structured surveys, rating prompts, and open-ended questions to gather actionable service insights.
Design Lead Generation Messaging
- Design messaging-based lead qualification flows that use structured conversation sequences to gather prospect information, assess fit, and route qualified leads to sales teams.
- Apply appointment booking and scheduling features within messaging platforms to convert lead conversations into confirmed meetings, demos, or consultations.
- Analyze lead quality metrics from messaging conversations including qualification rate, cost per qualified lead, and messaging-to-conversion timeline to optimize lead generation messaging flows.
- Design CRM integration workflows that automatically sync messaging lead data including contact information, qualification status, and conversation history into sales team systems.
Design Notification and Re-engagement Programs
- Apply recurring notification opt-in strategies to build messaging subscriber lists that enable ongoing promotional and transactional communication with opted-in customers.
- Design message sequencing strategies that nurture leads through multi-step messaging journeys including welcome series, educational content, and conversion prompts over time.
- Analyze notification open rates, response rates, and opt-out rates to optimize message frequency, timing, and content for maximum engagement without subscriber fatigue.
- Evaluate the effectiveness of different re-engagement triggers including abandoned cart reminders, back-in-stock notifications, and personalized recommendations within messaging channels.
3
Domain 3: Messaging Integration in Marketing Plans
5 topics
Integrate Messaging with Advertising Campaigns
- Apply click-to-message ad configurations including click-to-Messenger, click-to-WhatsApp, and click-to-Instagram Direct to drive advertising traffic into messaging conversations.
- Design click-to-message ad strategies that align messaging entry points with campaign objectives, audience segments, and conversation flows to maximize message-initiated conversions.
- Apply sponsored messages and recurring notification opt-in to re-engage messaging contacts with promotional content while maintaining compliance with messaging platform policies.
- Evaluate the performance of messaging-based advertising campaigns against traditional landing page campaigns to determine which approach delivers better cost per lead and conversion quality.
- Design messaging audience retargeting strategies that create Custom Audiences from messaging interactions to re-engage contacts who initiated but did not complete conversations.
Design Omnichannel Messaging Experiences
- Design an omnichannel messaging strategy that coordinates Messenger, WhatsApp, and Instagram Direct experiences with email, SMS, and web channels for consistent customer communication.
- Apply channel selection frameworks to determine which messaging platform is most appropriate for each customer interaction type based on audience preferences and platform capabilities.
- Analyze cross-channel messaging performance to identify which channels drive the highest engagement, conversion, and satisfaction rates for different customer segments and use cases.
- Design unified inbox management workflows that consolidate Messenger, WhatsApp, and Instagram Direct conversations into a single agent interface for efficient multi-channel response.
Manage Messaging Compliance and Quality
- Apply messaging platform policies and guidelines including opt-in requirements, messaging window rules, acceptable use policies, and content restrictions across Messenger, WhatsApp, and Instagram Direct.
- Evaluate messaging quality indicators including WhatsApp quality ratings, message delivery rates, and user block or report rates to maintain healthy messaging channel status.
- Design messaging governance frameworks that define messaging frequency limits, content approval processes, and escalation protocols to protect brand reputation and platform standing.
Manage Messaging Team Operations
- Design messaging team staffing models that account for conversation volume, response time targets, platform coverage, and time zone requirements to maintain service quality.
- Apply agent training programs that develop team proficiency in tone of voice, product knowledge, escalation procedures, and platform-specific messaging features.
- Analyze agent performance metrics including response time, resolution rate, customer satisfaction, and conversations handled to optimize team productivity and quality.
Design Multi-Language Messaging Programs
- Design multilingual messaging strategies that adapt conversation flows, automated responses, and support routing based on user language preferences across global markets.
- Apply language detection and translation tools within messaging platforms to provide initial automated support in the customer's preferred language before routing to language-appropriate agents.
- Analyze messaging engagement and satisfaction metrics by language and region to identify markets where messaging programs require localization investment or expanded language support.
4
Domain 4: Messaging Measurement and ROI
4 topics
Measure Messaging Campaign Performance
- Apply messaging-specific performance metrics including message open rate, reply rate, conversation started rate, and cost per messaging conversation to evaluate campaign effectiveness.
- Analyze end-to-end messaging funnel metrics from ad impression through messaging conversation to conversion to identify drop-off points and optimization opportunities.
- Evaluate the quality of messaging-generated leads and conversions compared to other conversion paths to assess the incremental value of messaging within the marketing mix.
Attribute and Track Messaging ROI
- Apply messaging attribution methods to connect messaging conversations with downstream conversions including online purchases, in-store visits, and lead form completions.
- Design a messaging ROI framework that quantifies both direct revenue from conversational commerce and indirect value from customer satisfaction improvement and support cost reduction.
- Analyze the total cost of messaging programs including advertising costs, platform fees, agent labor, and automation infrastructure to calculate true messaging program profitability.
Optimize and Scale Messaging Programs
- Design messaging program optimization strategies that leverage conversation analytics, customer feedback, and A/B testing to continuously improve messaging effectiveness and efficiency.
- Apply conversation flow optimization techniques including message sequencing, response timing, and personalization to increase engagement rates and conversion outcomes.
- Design a messaging program scaling plan that addresses team capacity, automation expansion, platform integration, and quality maintenance as messaging volume grows.
Apply Advanced Messaging Analytics
- Apply conversation analytics techniques to categorize messaging interactions by topic, intent, and outcome to identify patterns that inform automation priorities and content strategy.
- Analyze customer journey mapping across messaging touchpoints to understand how messaging interactions influence purchase decisions and long-term customer relationship quality.
- Design messaging performance dashboards that combine advertising metrics, conversation metrics, and business outcome metrics into a unified view of messaging program effectiveness.
- Evaluate the impact of messaging programs on customer lifetime value by tracking repeat purchase rates, satisfaction scores, and retention rates for customers acquired through messaging channels.
Scope
Included Topics
- All domains in the Meta Certified Business Messaging Strategy (910-101) exam: identifying business messaging opportunities across Meta platforms, prioritizing messaging use cases against business objectives, integrating business messaging into marketing and customer experience plans, and explaining attribution, optimization, and ROI tracking for messaging campaigns.
- Advanced knowledge of business messaging strategy across Meta platforms including Messenger, WhatsApp Business, and Instagram Direct including conversational commerce, customer support automation, lead qualification, appointment booking, and post-purchase engagement workflows.
- Messaging advertising capabilities including click-to-Messenger ads, click-to-WhatsApp ads, click-to-Instagram Direct ads, sponsored messages, and messaging-based retargeting strategies across the customer lifecycle.
- Messaging measurement and optimization including conversation quality metrics, response time analytics, customer satisfaction tracking, messaging conversion attribution, and compliance with messaging platform standards and guidelines.
Not Covered
- Foundational digital marketing concepts, basic ad creation workflows, and introductory platform navigation covered by the 100-101 associate certification.
- Marketing science measurement methodologies, statistical analysis, lift studies, and attribution modeling covered by the 200-101 certification.
- Creative strategy development, mobile-first brief authoring, and creative testing methodologies covered by the 300-101 certification.
- Media planning strategy, reach and frequency optimization, and campaign budget allocation covered by the 400-101 certification.
- Hands-on campaign buying optimization, bid strategy management, and auction mechanics covered by the 410-101 certification beyond messaging-specific campaigns.
- WhatsApp Business API technical development, chatbot programming, and custom integration engineering beyond strategic planning scope.
Official Exam Page
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