This professional course is built for marketing managers, analysts, and digital strategists working within financial institutions, FinTech firms, and insurance providers. The training course focuses on applying analytics tools to monitor campaign effectiveness, optimize marketing spend, and demonstrate ROI in regulated industries. Participants will learn how to use real-time data to make smarter decisions, attribute conversions across complex journeys, and link marketing efforts to business impact.
Hands-on KPI dashboard building using financial campaign data
Attribution modeling and cost-efficiency analysis exercises
Interactive sessions on A/B testing, funnel tracking, and lead scoring
Use of analytics platforms like Google Analytics, Meta Insights, and CRM tools
Define and track KPIs for financial marketing campaigns
Use data to measure ROI and optimize performance
Apply attribution models to multi-channel customer journeys
Analyze lead quality, cost per acquisition, and funnel drop-offs
Visualize performance using custom dashboards
Conduct A/B tests and use experimentation in campaign design
Align analytics with compliance and data governance rules
Session 1: Overview of Marketing KPIs in Finance
Key metrics: CAC, ROAS, CLTV, conversion rate
Leading vs lagging indicators of success
Selecting KPIs for different campaign types
Session 2: Campaign Funnel and Conversion Analysis
Awareness, interest, consideration, conversion
Identifying bottlenecks in digital and offline funnels
Building funnel visualizations and benchmarks
Session 3: A/B Testing and Experimentation
Designing tests for headlines, CTAs, formats
Validity, sample size, and significance in testing
Case study: investment product landing page experiment
Session 1: Understanding Attribution in Finance Marketing
Last-click, first-touch, linear, and time-decay models
Using UTM codes and cross-platform tagging
Real-world application in omnichannel finance journeys
Session 2: Calculating ROI for Different Campaign Types
Brand vs performance marketing ROI
Cost allocation: media, tools, agency, internal
ROI analysis in high-ticket and recurring revenue products
Session 3: Tools for Analytics and Reporting
Using Google Analytics 4 for financial websites
CRM-based reporting (HubSpot, Salesforce, etc.)
Automated dashboards using Looker Studio, Excel, or Power BI
Session 1: Ethical Data Use and Compliance in Analytics
Consent, opt-in tracking, and cookie policies
Financial services-specific data handling risks
Compliance in analytics platforms (GDPR, local laws)
Session 2: Presenting and Interpreting Results
Storytelling with numbers for executive audiences
Visualizing trends, anomalies, and actionables
Peer practice: converting data into insight
Session 3: Final Group Project – Campaign ROI Review
Build full analytics review for a mock campaign
Present findings, optimizations, and recommendations
Feedback from trainer and group
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.
This professional course introduces marketing professionals and financial services teams to the core principles of marketing within banks, insurance firms, investment houses, and FinTech companies.
This professional course is designed for digital marketing professionals, product managers, and communication leads in banking, insurance, and FinTech sectors.
This professional course equips marketing and customer experience professionals with the tools and strategies to create customer-first campaigns and journeys in banks, insurance firms, and FinTech companies.
This professional course is built for marketing managers, analysts, and digital strategists working within financial institutions, FinTech firms, and insurance providers.
This professional course is tailored for brand managers, marketing leaders, and communication specialists working within banking, insurance, asset management, or FinTech.