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Real Attribution dashboard example

Get the actual Attribution dashboard example used by Porter to monitor your Marketing performance.
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Creator

Porter

This template is built by the same marketers behind all our tutorials, support, and our template gallery.

+40,000 marketers have downloaded our dashboards

Template setup

Copy-paste the same dashboards that other teams and agencies use to monitor their Marketing performance

Attribution dashboard example overview

With this performance monitoring dashboard example, you can easily monitor specific metrics such as website traffic, conversion rates, and user engagement. For example, you can track the number of page views per day, the average time spent on each page, and the bounce rate. Segment the data by different demographic groups or user behavior to gain deeper insights into your audience.

To influence your teams or clients, share the dashboard via PDF, a direct link, or email. Show them the impact of different marketing campaigns or website updates on key performance indicators. For instance, you can demonstrate how a new landing page design improved conversion rates by 20%.

Answer important questions using the data at hand. For instance, analyze which channels drive the most traffic and conversions, and identify any potential bottlenecks in the user journey. Determine the impact of social media campaigns by comparing referral traffic and engagement on different platforms. Uncover opportunities for optimization and make data-driven decisions to drive business growth.

Suggested data sources

Use cases

Metrics and dimensions included

Customize the template’s metrics and dimensions as you like. See all available fields.

Metrics

Conversion metrics

– Click-through rate (CTR)
– Conversion rate
– Cost per conversion

Engagement metrics

– Click-through rate (CTR)
– Conversion rate
– Average session duration

Visibility metrics

– Impressions
– Reach
– Click-through rate

Dimensions

Campaign

– Demographic breakdown:
– Age
– Gender
– Income level
– Psychographic breakdown:
– Interests
– Personality traits
– Lifestyles
– Behavioral breakdown:
– Purchase history
– Brand loyalty
– Online behavior

Audience

– Demographic
– Psychographic
– Behavioral

Time

By hour, day, week, month, quarter, or year

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

An Attribution report should include metrics such as visibility (impressions, reach), engagement (clicks, likes, shares), and conversion metrics (sales, sign-ups). Data should be segmented by campaign (e.g., Black Friday Sale), channel (e.g., Facebook ads), audience (e.g., age group), content (e.g., blog post), objective (e.g., brand awareness), and date. For example, the report may show that a Black Friday Sale campaign on Facebook ads generated 10,000 impressions, received 500 clicks, and resulted in 50 sales on November 27th.
To analyze attribution data, it is important to include the following elements in an attribution report: 1) Metrics breakdown: Break down visibility metrics such as impressions and reach, engagement metrics like clicks and interactions, and conversion metrics including conversion rate and cost per conversion. 2) Contextual comparison: Compare these metrics against the cost incurred, date range of the campaign, set goals, industry benchmarks, and rates achieved. For example, compare the conversion rate achieved in a specific campaign against the industry average. 3) Segment data: Segment the data by campaign to analyze the performance of different campaigns individually, by channel to assess the effectiveness of each channel, by audience to understand which audience segment generated the most conversions, by content to identify the top-performing content pieces, by objective to evaluate the success of various campaign objectives, and by date to identify any trends or patterns over time. For instance, segmenting the data by channel can show the conversion rate of email marketing versus social media marketing.
To build an Attribution dashboard, 1) connect your data and accounts such as Google Analytics, Facebook Ads, or CRM systems. 2) Select metrics like click-through rates, conversion rates, or return on ad spend to monitor performance. 3) Segment data by campaign, channel, audience, product, customer content, objective, or date for a detailed analysis. 4) Add filters or buttons like date range or campaign type to make your report interactive. 5) Share your dashboard via PDF, scheduled emails, or links for easy access and review.

An Attribution dashboard is a visual representation of marketing data that tracks the effectiveness of different marketing strategies in driving customer behavior. It is significant for businesses as it helps them understand which marketing channels are most effective, enabling informed decision-making and resource allocation. Common tools used to create an Attribution dashboard include Looker Studio, Tableau, and Power BI, with key elements including channel performance, customer journey, conversion rates, and ROI. Real-time data monitoring is crucial as it allows businesses to respond quickly to changes in marketing performance. For learning how to create a marketing dashboard using Looker Studio, visit our YouTube channel: https://www.youtube.com/@porter.metrics.

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