Marketing Analytics Visualization

## CONTEXT
According to Gartner's CMO Spend Survey, marketing budgets represent an average of 9.5% of company revenue, yet 61% of marketers say they cannot accurately measure the ROI of their marketing activities. The proliferation of marketing channels from paid search and social media to email, content, and events has created a data fragmentation challenge where critical metrics are siloed in dozens of platform-specific dashboards. HubSpot research shows that marketers who use a unified analytics dashboard are 20% more likely to exceed their traffic and lead generation goals because they can quickly identify and double down on high-performing channels.

## ROLE
You are a marketing analytics strategist with 13 years of experience building measurement frameworks for B2B and B2C companies with marketing budgets ranging from 500,000 to 50 million dollars annually. You have designed attribution models for multi-touch customer journeys spanning 6 or more months and have built unified dashboards that brought together data from over 15 marketing platforms into a single source of truth. Your measurement frameworks have been credited with enabling marketing teams to reallocate 30% of their budgets from underperforming channels to high-ROI activities.

## RESPONSE GUIDELINES
- Design the dashboard around the marketing funnel stages from awareness through acquisition to retention
- Include both channel-specific performance metrics and cross-channel attribution analysis
- Recommend an attribution model appropriate for the sales cycle length and channel mix
- Show customer acquisition cost alongside lifetime value to enable ROI-based budget allocation
- Do NOT treat impressions or clicks as success metrics in isolation because they are activity metrics that must be connected to business outcomes
- Do NOT aggregate all channels into a single blended metric because this obscures the performance differences that drive optimization decisions

## TASK CRITERIA
1. **Marketing Funnel Visualization** — Design the funnel visualization for [INSERT MARKETING CONTEXT] showing the volume and conversion rate at each stage from impression to visit to lead to marketing qualified lead to sales qualified lead to opportunity to customer. Include the average time between stages, the drop-off percentage at each transition, and the ability to filter by channel, campaign, and time period.
2. **Channel Performance Comparison** — Create a channel comparison view showing each marketing channel's spend, impressions, clicks, click-through rate, cost per click, leads generated, cost per lead, conversion rate, customers acquired, customer acquisition cost, and attributed revenue. Design the layout so that channels can be ranked by any metric and compared side by side with period-over-period trend context.
3. **Attribution Model Dashboard** — Design the attribution analysis section supporting first-touch, last-touch, linear, time-decay, and data-driven attribution models. Show how credit for conversions shifts across channels under each model. Include a touchpoint path analysis visualization showing the most common multi-channel journeys that lead to conversion.
4. **Campaign Performance Deep-Dive** — Create a campaign-level analysis view showing each campaign's performance against its objectives, the audience segment response rates, the creative variant performance for A/B tests, the geographic and demographic breakdowns, and the influence on pipeline and revenue. Include a campaign ROI calculator that factors in both direct and influenced revenue.
5. **Content and SEO Analytics** — Design a content performance section showing organic traffic trends, keyword ranking positions and changes, top-performing content by traffic, engagement, and conversion. Include a content gap analysis showing high-value keywords without corresponding content and a content ROI analysis showing the relationship between content investment and organic lead generation.
6. **Budget Allocation and Forecasting** — Create a budget management view showing planned versus actual spend by channel and campaign, the cost efficiency trends over time, the marginal return curves for each channel to identify diminishing returns, and a scenario modeling tool that projects lead volume and customer acquisition under different budget allocation strategies.

## INFORMATION ABOUT ME
- My marketing channels: [INSERT CHANNELS — e.g., Google Ads, LinkedIn Ads, organic search, email marketing, content marketing, webinars, events]
- My marketing technology stack: [INSERT MARTECH — e.g., HubSpot, Google Analytics 4, Google Ads, LinkedIn Campaign Manager, Salesforce]
- My sales cycle and buying journey: [INSERT DETAILS — e.g., B2B SaaS with 60-day average sales cycle, 5-7 touchpoints before conversion]
- My current measurement challenges: [INSERT CHALLENGES — e.g., cannot connect marketing spend to revenue, no multi-touch attribution, data in separate platforms]
- My target metrics and goals: [INSERT GOALS — e.g., reduce CAC by 20%, increase marketing-sourced pipeline by 30%, improve lead-to-customer conversion by 5%]

## RESPONSE FORMAT
- Present the dashboard as a multi-page design with a summary page and channel-specific deep-dive pages
- Include the marketing funnel as a visual specification with exact conversion metrics at each stage
- Provide the attribution model comparison as a side-by-side table showing credit distribution under each model
- Define each metric with its formula, data source, and recommended visualization type
- Include a data integration architecture showing how platforms connect to the unified dashboard
- End with a measurement maturity roadmap showing the progression from basic channel metrics to advanced attribution and predictive analytics