CIM Level 4 Award in MarTech PDF
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CIMT College
Marwa Mohamed
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Summary
This document presents an overview of a CIM Level 4 Award in MarTech prepared by Marwa Mohamed. It covers recognizing applications of MarTech across the customer journey including strategies for each stage. Some topics include AdTech, email marketing, and programmatic ad buying.
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CIM Level 4 Award in MarTech Prepared by Marwa Mohamed 2. Recognizing Applications of MarTech Across the Customer Journey Customer Journey and MarTech Applications The customer journey refers to the complete experience a customer has with a...
CIM Level 4 Award in MarTech Prepared by Marwa Mohamed 2. Recognizing Applications of MarTech Across the Customer Journey Customer Journey and MarTech Applications The customer journey refers to the complete experience a customer has with a brand, from initial awareness to advocacy. MarTech (Marketing Technology) tools are used across different stages of this journey to optimize the experience and achieve organizational goals. Stages of the Customer Journey 1. Awareness Stage 2. Consideration Stage 3. Decision Stage Goal: Attract potential customers and create brand Goal: Engage and educate the audience to consider Goal: Convert prospects into customers by awareness. the brand’s offerings. emphasizing value and trust. Applications of MarTech: Applications of MarTech: Applications of MarTech: AdTech: Programmatic ads for targeted reach using Email Marketing Platforms: Personalized email Personalization Tools: Dynamic content delivery on demographic and behavioral data. campaigns via Mailchimp or HubSpot. websites via platforms like Optimizely. SEO Tools: Help rank content on search engines CRM Systems: Tools like Salesforce to track leads E-commerce Platforms: Tools like Shopify or (e.g., Google Analytics, SEMrush). and interactions. WooCommerce for seamless purchasing Social Media Tools: Platforms like Buffer or Interactive Content: Webinars, eBooks, and experiences. Hootsuite for scheduling and monitoring brand whitepapers to demonstrate expertise. Retargeting Ads: Tools like Google Ads or Facebook mentions. Ads Manager to reconnect with undecided leads. Social Media Analytics: Insights into engagement Content Formats: Blog posts, videos, and and sentiment using tools like Sprout Social. Live Chat Tools: Chatbots or live support using tools infographics to attract attention. like Zendesk or Intercom. 4. Retention Stage 5. Advocacy Stage Goal: Retain existing customers and encourage Goal: Turn satisfied customers into brand advocates. repeat purchases. Applications of MarTech: Applications of MarTech: Referral Programs: Incentivize sharing via platforms Customer Feedback Tools: Platforms like like ReferralCandy. SurveyMonkey to gather insights. User-Generated Content (UGC): Encourage Loyalty Programs: Implement via tools like Smile.io customers to share reviews, photos, and or Yotpo. testimonials. Email Marketing: Send personalized updates and Social Media Communities: Build forums for offers to maintain engagement. engagement using tools like Facebook Groups. Social Listening: Monitor brand sentiment and Influencer Marketing Platforms: Identify and identify opportunities for improvement. collaborate with advocates using tools like AspireIQ. How MarTech Enhances the Customer Journey Personalization: Tools like Automation: Marketing Data Analytics: MarTech Integration: CRM systems AI and machine learning automation platforms tools provide insights into and other tools ensure all enable tailored streamline tasks like email customer behavior, customer interactions are experiences at every campaigns and ad enabling data-driven seamlessly connected. touchpoint. placement. decisions. 2.1 Explain the Role of AdTech in Supporting Paid Digital Campaigns A- Different Content Formats Blogs: Short-form articles that build Videos: Engaging visual content for brand awareness and authority. storytelling and showcasing Ideal for SEO and generating organic products/services. traffic. Benefits: High engagement, suitable for social media, and preferred by many audiences. Benefits: Easy to produce, cost-effective, and good Limitations: Expensive and time-consuming to for SEO. produce. Limitations: Requires consistency, and ROI is often long-term. Webinars: Interactive sessions to eBooks/Whitepapers: In-depth educate audiences and build resources offering valuable insights. relationships. Benefits: Excellent for B2B lead nurturing and Benefits: Great for B2B lead generation and positioning as an industry expert. detailed product explanations. Limitations: Time-intensive to create and less Limitations: Requires audience availability and suitable for B2C. significant preparation. B-Value and Use Across Organization Types B2B (Business-to-Business): B2C (Business-to-Consumer): NFP (Not-for-Profit): Primary Goal: Build trust, establish Primary Goal: Create emotional Primary Goal: Increase awareness, drive thought leadership, and nurture long connections, drive sales, and encourage donations, and recruit volunteers. sales cycles. loyalty. Content Examples: Content Examples: Content Examples: Social Media Campaigns: Share Whitepapers: Provide detailed insights Videos: Highly engaging content used impactful stories and testimonials to into industry challenges and solutions. for storytelling, showcasing product encourage donations or participation. Webinars: Offer live engagement for benefits, or customer testimonials. Infographics: Simplify complex issues, showcasing complex products or Blogs: Offer tips, tutorials, or trends to such as illustrating how donations are services, answering questions in real- attract organic traffic and build used to create change. time. relationships. Email Newsletters: Regular updates to Case Studies: Share success stories to Social Media Campaigns: Leverage maintain relationships with supporters highlight how your solutions address platforms like Instagram or TikTok for and share achievements. specific business pain points. real-time engagement with Value: Value: consumers. Creates emotional connections that Drives trust and credibility in technical Value: inspire action. industries. And Enables decision- Drives immediate action, such as Builds credibility and fosters trust with makers to make informed choices by purchasing a product or sharing transparency in communications. providing relevant, detailed content. information. Appeals to emotions and helps customers relate to the brand. C-SEO Considerations Keywords: Identify and Metadata: Optimize titles, integrate high-volume, descriptions, and tags for relevant keywords in discoverability. content. Titles & Tags: Craft compelling headlines and ensure correct tagging to aid search visibility. D-Programmatic Ad Buying Process The programmatic ad buying process refers to the automated buying and placement of digital advertising in real time using technology and data-driven algorithms. This process replaces traditional methods of buying ads (e.g., manual negotiations) with a more efficient and precise system that leverages artificial intelligence (AI) and machine learning. D-Programmatic Ad Buying Process: Benefits of Programmatic Ad Buying Limitations and Challenges 1. Efficiency: Automation reduces manual effort and time. 1. Transparency Issues: Advertisers may not fully understand where 2. Precision Targeting: Leverages audience data to deliver ads to their ads are being placed. the right person at the right time. 2. Ad Fraud: Risks of bots and non- human traffic consuming ad 3. Real-Time Optimization: Adjusts campaigns instantly based on impressions. performance data. 3. High Competition: Auctions can lead to high costs for prime ad 4. Cost-Effectiveness: Minimizes wasted ad spend by targeting inventory. only relevant users. 4. Privacy Concerns: Regulatory frameworks like GDPR and CCPA 5. Scalability: Enables campaigns to scale across multiple require compliance in data platforms and geographies seamlessly. handling. Key Components of Programmatic Ad Buying Ad Formats: Data Management 1.Includes banner ads, Platforms (DMPs): video ads, native ads, 1.Collect and analyze audience and even audio ads for data (e.g., demographics, platforms like Spotify. behavior) to improve targeting. Artificial Intelligence (AI) and Machine Ad Exchanges: Learning: 1.Digital marketplaces where publishers and 1.AI optimizes campaigns by advertisers trade ad analyzing data and making inventory in real time. real-time adjustments to bids. D-Programmatic Ad Buying Steps : 1. Advertiser Defines Campaign Goals Setting Campaign Objectives: Budget Allocation: Advertisers determine the purpose of the campaign, The advertiser allocates a budget for the such as: campaign, which could be: Increasing brand awareness. Daily Budget: The amount spent per Driving website traffic. day. Lifetime Budget: The total amount Boosting sales or conversions. spent over the campaign's duration. Promoting a product launch. Key Performance Indicators (KPIs): Audience Targeting Criteria: Metrics are chosen to measure campaign success, such as: Targeting parameters are defined to ensure ads reach Impressions (number of times the ad is the most relevant audience. This includes: shown). Demographics: Age, gender, income, Click-Through Rate (CTR). Cost Per Acquisition (CPA). education level. Return on Ad Spend (ROAS). Location: Geographic region (e.g., UAE or Example: specific cities like Dubai). A fitness brand in the UAE sets a goal to increase Interests and Behaviors: Activities, hobbies, app downloads among women aged 25–35. The campaign targets users who have searched for or recent online actions (e.g., women aged gym memberships or fitness classes. 25–35 interested in fitness and visiting gyms). Device Types: Targeting users based on mobile, desktop, or specific devices. D-Programmatic Ad Buying Steps : 2. Demand-Side Platform (DSP) What is a DSP? A DSP is a software platform that automates the process of buying ad space. It uses AI and machine learning to make real-time Popular DSPs: decisions about which ad placements to bid on. Google Ads How it Works: The Trade Desk The advertiser uploads their campaign details MediaMath (goals, audience, budget, and creatives) to the Amazon DSP DSP. Example: The DSP scans available ad space across multiple The fitness brand uses Google Ads to bid ad exchanges and matches the best placements on ad placements on fitness blogs, social based on the campaign criteria. media apps, and health-related websites. Bidding is automated, ensuring that the advertiser pays the optimal price for each impression. D-Programmatic Ad Buying Steps : 3. Supply-Side Platform (SSP) What is an SSP? An SSP is a platform used by publishers to Popular SSPs: sell their ad space (inventory) to advertisers Google Ad Manager in an automated way. OpenX How it Works: Example: Publishers (e.g., website owners, app A health and wellness blog in developers) list their available ad space the UAE uses an SSP to sell on an SSP. banner ad space to The SSP connects with DSPs and ad advertisers, ensuring it gets exchanges to maximize the price for the best price for its audience. each ad impression. It ensures the inventory is sold to the highest bidder in real time. D-Programmatic Ad Buying Steps : Example: 4. Real-Time Bidding (RTB) A user in Dubai visits a fitness What is RTB? blog. DSPs bid for this RTB is the auction process that takes place when a user visits a impression based on the user’s website or opens an app. This auction determines which ad is profile, and the fitness brand’s displayed to the user. ad wins, appearing as a banner on the blog. D-Programmatic Ad Buying Steps : 5. Ad Delivery What Happens Here? The winning ad is served to the user. Example: This happens seamlessly in the background, The fitness brand’s ensuring a smooth user experience. Formats Delivered: banner ad promoting a Banner ads. discount on gym Video ads. memberships is Native ads (ads designed to blend in with the displayed on the content). wellness blog. Rich media (interactive ads). D-Programmatic Ad Buying Steps : 6. Performance Tracking Why it’s Important: Performance tracking ensures that the campaign is meeting its goals Optimization: and allows advertisers to optimize in real-time. Based on performance data, advertisers can adjust targeting, Metrics Monitored: creatives, or bidding strategies to Impressions: The number of times the ad is shown to users. improve results. Example: Clicks: The number of users who clicked on the ad. The fitness brand uses its DSP dashboard Conversions: Actions completed by users (e.g., app to track that its ad has achieved 1,000 app downloads in one week and adjusts downloads, purchases). its bid to focus more on high-performing Cost Metrics: Cost Per Click (CPC) and Cost Per Impression locations. (CPM). Engagement Metrics: How users interact with the ad (e.g., video views, shares).