CIM Level 4 Award in MarTech - Learn about Marketing Technology
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CIMT College
Marwa Mohamed
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Summary
This document introduces the CIM Level 4 Award in MarTech. It covers key concepts such as CRM, CDP, and DMP, emphasizing the significance of MarTech for organizations and customers. Examples demonstrate how these technologies are applied in various business sectors.
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CIM Level 4 Award in MarTech Prepared by Marwa Mohamed What is need from me ? 1. Understanding the Significance of MarTech for an Organization Introduction: What is MarTech? MarTech, an abbreviation for Marketing Technology: is the collective term fo...
CIM Level 4 Award in MarTech Prepared by Marwa Mohamed What is need from me ? 1. Understanding the Significance of MarTech for an Organization Introduction: What is MarTech? MarTech, an abbreviation for Marketing Technology: is the collective term for software, tools, and platforms that enable marketers to manage, optimize, and analyze marketing efforts effectively. It integrates technology into marketing strategies to enhance efficiency, deliver personalized customer experiences, and achieve organizational goals. Key Characteristics of MarTech: Digital-Centric: Most MarTech tools operate in Data-Driven: digital environments, serving MarTech relies heavily on data customers , supporting online collection, processing, and analysis campaigns, social media to guide decision-making and engagement, and web analytics. refine marketing efforts. Integrative: Scalable: MarTech tools often integrate From startups to large enterprises, seamlessly with other business MarTech solutions are adaptable systems, such as Customer to different business sizes, Relationship Management (CRM), providing tools to grow with an Enterprise Resource Planning organization. (ERP), and Sales platforms. MarTech and MR. Company ? Real-Time Decision- Why MarTech is Essential: Making: Tools offer real-time Personalization: analytics, allowing Enables targeted marketers to adapt campaigns tailored to campaigns dynamically. Enhanced Customer individual customer Insights: profiles, improving Analyzes vast amounts engagement and Cost Effectiveness: of data to deliver conversion rates. Optimizes resource actionable insights allocation by targeting about customer Improved Efficiency: the right audience with behavior, preferences, Automates repetitive the right message at and trends. tasks, freeing marketers the right time. to focus on strategy and creativity. What you think ??? Amazon recommends products Examples based on a customer’s browsing and purchase history. An automated email confirming an order or shipping details Airlines using real-time data reassures customers promptly to notify customers about after purchase. flight delays and offer alternative solutions instantly. Netflix uses customer viewing data to suggest movies and shows that match individual preferences. Online retailers offer exclusive discounts to loyal customers based on purchase history, A chatbot on a retailer’s website answers customer queries making customers feel valued. about product availability or delivery timelines within seconds. Banking apps use AI-powered chatbots to assist with account inquiries, balance checks, or fraud reporting. IKEA’s AR app allows customers to Examples visualize furniture placement in their homes before purchase. Virtual assistants like Siri or Alexa answer questions or Airlines using real-time data perform actions, such as setting to notify customers about reminders or placing orders. flight delays and offer alternative solutions Telecom providers use AI in self-service instantly. apps to troubleshoot network issues or activate services instantly. Online retailers offer exclusive discounts to loyal customers based on purchase history, Banks like Emirates NBD use voice recognition for customer making customers feel valued. authentication during calls. MarTech and MR.Customers Why MarTech is Essential for Trust and Security Advanced security measures ensure customer data Customers : Real-Time Interaction protection, fostering trust and confidence in digital and Feedback interactions and transactions. Real-time communication Gamified Customer channels enable customers to Experiences interact directly with businesses and provide Gamification techniques make immediate feedback, ensuring Accessibility interactions engaging and timely resolutions and rewarding, encouraging continuous improvement. Technological advancements customers to participate and like multilingual support and build loyalty in a fun and Proactive Engagement voice-enabled devices ensure dynamic way. inclusivity, allowing customers Automated updates, push from diverse backgrounds and notifications, and real-time abilities to access services Enhances the Seamless Transactions alerts keep customers effortlessly. Secure payment gateways and informed without requiring Customer them to seek updates digital wallets provide a smooth and safe transaction Experience process, eliminating barriers and enhancing customer confidence during purchases. What you think ??? Key Concepts in Marketing Technology (MarTech) CRM MarTech tools are essential for CDP: (Customer Data modern marketing strategies, Platform) enabling businesses to streamline DM (Data Management Platform) operations, understand customer Attribution Modelling behavior, and deliver personalized Personalization Engines Omnichannel Marketing, experiences which include : 1. CRM (Customer Relationship Management) Definition: CRM systems are software platforms that manage and analyze customer interactions across their lifecycle to improve relationships, retention, and satisfaction. Key Features: Centralized database for customer information. Tools for tracking sales, marketing campaigns, and customer service. Automation for emails, reminders, and follow-ups. Link to MarTech: CRMs are a cornerstone of MarTech, integrating with marketing automation tools, email platforms, and analytics systems to create a seamless customer journey. Facilitates personalized campaigns by leveraging customer interaction data. 2. CDP (Customer Data Platform) Definition: A CDP is a unified data platform that collects, integrates, and organizes customer data from multiple sources to create a single, comprehensive customer profile. Key Features: Aggregates data from CRM, DMP, and other tools. Provides a 360-degree view of the customer. Enables real-time data activation for campaigns. Link to MarTech: CDPs empower MarTech stacks by ensuring data consistency and enabling hyper- personalized marketing strategies. Integrates with personalization engines, analytics tools, and CRM systems for effective targeting. 3. DMP (Data Management Platform) Definition: A DMP collects and organizes anonymized customer data (often third-party) for segmentation and targeted advertising. Key Features: Focuses on cookies and audience data for digital ads. Creates segments for ad targeting. Enables data sharing across advertising platforms. Link to MarTech: DMPs feed MarTech tools with audience segments for programmatic advertising and retargeting. Works with CDPs and CRM systems to bridge the gap between first-party and third-party data for better campaign execution. 4. Attribution Modelling Definition: Attribution modelling is the process of determining the value of each marketing channel in contributing to a conversion or sale. Key Features: Multi-touch attribution (assigning value to multiple touchpoints). Last-click and first-click models (crediting one channel exclusively). Data-driven attribution using AI and machine learning. Link to MarTech: Attribution models guide decision-making in MarTech by providing insights into which tools and channels are driving ROI. Integrates with analytics platforms and dashboards to offer actionable insights for optimization. 5. Personalization Engines Definition: Personalization engines use customer data and AI to deliver tailored content, offers, and experiences across marketing channels. Key Features: Dynamic website content based on user behavior. Product recommendations based on past purchases. Real-time email content updates. Link to MarTech: Personalization engines connect to CRMs, CDPs, and analytics tools in a MarTech stack to execute and optimize customer-centric campaigns. Drives customer engagement and conversion through relevant content. 6. Omnichannel Marketing Definition: Omnichannel marketing integrates multiple channels (online and offline) to provide a cohesive and seamless customer experience. Key Features: Synchronization of messaging across channels. Unified data and analytics for all touchpoints. Real-time adaptation to customer behavior. Link to MarTech: Omnichannel marketing leverages the full MarTech stack (CRMs, CDPs, DMPs, personalization engines) to create consistent messaging across platforms. Ensures that campaigns are coordinated and data-driven, enhancing customer satisfaction and brand loyalty.