TSSF

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  • a year ago
  • 150
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Description2.docx

Description

This data-driven project challenges you to develop a marketing analytics framework for evaluating the effectiveness of Google’s paid and organic search and LinkedIn display advertising in driving PeopleGrove’s User Summit registrations. The focus is on analyzing campaign performance through data insights, keyword research, and predictive modeling to optimize digital marketing efforts.

1. Marketing Analytics Focus: Develop an analytics-driven approach to measure and refine digital marketing efforts across Google and LinkedIn advertising channels.

2. Keyword Research & Data Analysis: Conduct keyword research and competitor analysis to identify high-impact search terms that drive registrations.

3. Campaign Performance Measurement: Define KPI benchmarks and create a reporting structure for real-time performance analysis.

4. Optimization Strategy Development: Use data insights to adjust ad spend, refine audience targeting, and enhance messaging for improved conversion rates.

Responsibilities

Keyword & Competitive Research:

· Identify high-value keywords for Google paid and organic search.

· Evaluate search trends and competitor keyword strategies.

Performance Data Analysis:

· Define and track key marketing KPIs such as impressions, CTR, CPA, quality scores, and conversion rates.

· Define how to use Google Analytics, Google Ads, and LinkedIn Campaign Manager to assess traffic patterns and conversion pathways.

Campaign Optimization Recommendations:

· Develop data-backed strategies for improving ad performance, SEO ranking, and audience segmentation.

· Propose A/B testing frameworks for landing pages and ad creatives to maximize conversion rates.

Predictive Insights & ROI Assessment:

· Build forecasting models for expected registration growth based on budget allocation.

· Assess ROI for each channel and recommend budget reallocations for maximum impact.