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Analytics & Performance

Comprehensive Marketing Analytics Dashboard

use this prompt when:

  • You need a holistic view of your marketing performance across multiple channels
  • Your marketing data is fragmented and you’re struggling to connect insights to business outcomes
  • You’re preparing for a quarterly or annual marketing performance review
  • You need to justify marketing spend and demonstrate ROI to leadership
  • You’re planning to reallocate budget across marketing channels based on performance

The prompt

Design a comprehensive marketing analytics dashboard for <business name> that provides actionable insights across our <marketing channels> to support our business objectives of <business objectives>. Create a multi-level reporting structure with executive summaries, channel-specific metrics, and detailed performance analysis aligned with our KPIs. Include visualizations for tracking customer acquisition costs, conversion rates, channel attribution, ROI, and customer journey metrics segmented by <key segments>. Recommend primary and secondary metrics for each channel, benchmark comparisons, and insight extraction frameworks that go beyond data reporting to drive strategic decisions. Develop specific dashboard sections addressing our analytical challenges with <specific challenges> and providing clarity on the performance of our investments in <key marketing initiatives> targeting <target audience>.

How to customize

Comprehensive Marketing Analytics Dashboard
Variables
Description
Variables
business name
Description
Enter your brand or company name to personalize the dashboard.
Variables
marketing channels
Description
List all marketing channels you want to analyze (e.g., social media, email, paid search, influencer partnerships, content marketing).
Variables
business objectives
Description
Specify your key business goals (e.g., increasing direct-to-consumer sales by 30%, boosting subscription retention, expanding into new market segments).
Variables
key segments
Description
Define the customer segments you want to analyze separately (e.g., by demographics, purchase behavior, loyalty tier, acquisition source).
Variables
specific challenges
Description
Detail analytical problems you're facing (e.g., multi-touch attribution, connecting online and offline conversions, measuring influencer impact).
Variables
key marketing initiatives
Description
List your priority marketing campaigns or programs (e.g., loyalty program, seasonal campaign, new product launch).
Variables
target audience
Description
Describe your primary audience characteristics (e.g., millennial parents, fitness enthusiasts, eco-conscious consumers).

Example Output

Marketing Analytics Dashboard for Glow Botanicals

 

Executive Summary Dashboard

Business Objectives Status

  • DTC Revenue Growth: 24% vs. 30% target (visual progress bar)
  • Customer Retention: 68% vs. 65% target (exceeding goal)
  • New Market Penetration: 18% vs. 25% target (needs attention)

 

Cross-Channel Performance Overview [Heat map visualization showing performance by channel with color-coding]

  • Top Performing: Instagram (391% ROI), Email (287% ROI)
  • Underperforming: TikTok (98% ROI), Google Search (112% ROI)

 

Budget Allocation vs. Performance [Dual-axis chart showing spend allocation against performance metrics]

  • Opportunity Alert: Email channel delivering high performance with relatively low budget allocation (7% of budget driving 18% of conversions)

 

Key Actions Recommended

  1. Shift 10% of TikTok budget to Instagram Stories campaigns targeting skincare enthusiasts
  2. Escalate email frequency to high-engagement segments
  3. Review Google search campaign targeting parameters to improve relevance

 

Channel-Specific Dashboards

Social Media Performance

Primary Metrics

  • Engagement Rate: 4.2% (Industry benchmark: 2.7%)
  • Conversion Rate: 1.8% (Benchmark: 1.2%)
  • CAC: $28.40 (Benchmark: $32.10)

 

Performance by Platform [Bar chart showing key metrics by platform]

  • Instagram driving 68% of social conversions
  • TikTok generating highest engagement but lowest conversion

 

Content Performance Analysis [Scatter plot showing engagement vs. conversion by content type]

  • User-generated content outperforming branded content by 37% in conversion rate
  • Tutorial content generating 3.2x higher conversion than promotional content

 

Customer Journey Analysis

Acquisition to Purchase Timeline [Funnel visualization with time intervals]

  • Average journey duration: 18 days
  • Key drop-off point: Product detail page to cart (42% abandonment)

 

Segment Analysis: Eco-Conscious Millennials

  • 28% higher conversion rate than average
  • 17% higher average order value
  • Primary entry point: Sustainability content (blog)
  • Most effective remarketing channel: Instagram

 

Analytical Challenge Spotlight: Attribution Modeling

Multi-Touch Attribution Analysis [Sankey diagram showing customer paths across channels]

  • Email is undervalued by 38% in last-click attribution
  • Content marketing initiates 42% of eventual conversions but rarely gets credit
  • Recommended Model: Time-decay attribution with 14-day lookback window

 

Custom Dashboard Section: Clean Beauty Campaign Performance [Combined metrics dashboard showing campaign performance]

  • Campaign ROI: 284% (exceeding 200% target)
  • New Customer Acquisition: 3,240 (86% of target)
  • Customer Profile Analysis: Strong performance among 25-34 urban demographic, underperforming with 35-44 suburban demographic

 

Strategic Recommendations

  1. Increase investment in user-generated content creation with focus on Instagram
  2. Develop specialized content for eco-conscious audience segment
  3. Implement abandoned cart email sequence optimization based on 5-day pattern analysis
  4. Reallocate 15% of paid search budget toward high-performing branded terms

Pro tips

Comprehensive Marketing Analytics Dashboard
  • Update dashboard KPIs quarterly to align with evolving business priorities and seasonal changes in consumer behavior.
  • Create customized views for different stakeholders – high-level metrics for executives and detailed operational data for channel managers.
  • Include competitive benchmarking data when available to provide context for your performance metrics.
  • Implement a “data story” section that goes beyond metrics to explain the “why” behind performance changes and connect them to specific marketing activities.

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