Professional Certificate in Acquisition Campaign Performance Optimization
-- ViewingNowThe Professional Certificate in Acquisition Campaign Performance Optimization is a comprehensive course designed to enhance your digital marketing skills. This program focuses on the crucial aspect of campaign optimization, teaching you how to create and manage data-driven acquisition campaigns that deliver results.
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GBP £ 140
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โข Campaign Planning & Strategy: Understanding business goals, defining target audiences, and establishing key performance indicators (KPIs) for campaign success.
โข Data Analysis & Insights: Collecting, interpreting, and applying data to optimize campaigns, focusing on essential metrics like click-through rates (CTR), conversion rates, and return on ad spend (ROAS).
โข Search Engine Marketing (SEM): Implementing and managing pay-per-click (PPC) campaigns using Google Ads and Bing Ads, focusing on ad copy, keyword research, and bid management.
โข Search Engine Optimization (SEO): Improving website visibility through on-page and off-page optimization techniques, including keyword research, link building, and technical SEO.
โข Social Media Advertising: Leveraging social media platforms for advertising campaigns, including Facebook, Instagram, LinkedIn, and Twitter, focusing on ad formats, targeting options, and ad creation.
โข Display & Video Advertising: Designing, implementing, and optimizing display and video campaigns, utilizing platforms like Google Display Network, YouTube, and programmatic advertising.
โข Email Marketing Campaigns: Creating and managing email marketing campaigns, focusing on list segmentation, email design, and automation.
โข Conversion Rate Optimization (CRO): Improving website user experience and increasing conversion rates through A/B testing, landing page optimization, and user behavior analysis.
โข Attribution Modeling & Cross-Channel Tracking: Understanding the customer journey and attributing conversions across multiple channels, utilizing tools like Google Analytics, UTM tracking, and multi-touch attribution models.
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