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Instagram stories dashboard template

Get the actual Instagram stories dashboard template used by Porter to monitor your Social Media 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 Social Media performance

Instagram stories dashboard template overview

With this performance monitoring dashboard example, monitor specific metrics such as website traffic, conversion rates, and page load times. Break down the data to segment it by traffic source, device type, or geographic location for deeper insights.

Suggest that users can share the dashboard via PDF, link, or email to influence teams or clients. For example, you can email the dashboard to your marketing team to showcase the impact of a recent campaign or share a link with clients to demonstrate the ROI of their investment.

Suggest examples of questions you can answer with the data, such as “What is the conversion rate for mobile users from a specific traffic source?” or “Which geographic location has the highest bounce rate?” This helps you make data-driven decisions and identify areas for improvement.

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

– Conversion rate
– Cost per acquisition (CPA)
– Average order value (AOV)

Engagement metrics

– Number of likes
– Number of shares
– Number of comments

Visibility metrics

– Impressions
– Reach
– Click-through rate (CTR)

Dimensions

Campaign

– Target audience
– Type of media
– Objective

Audience

– Demographics
– Psychographics
– Buying Behaviors

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

A Stories report should include metrics breakdown by visibility, engagement, and conversion. The data should be segmented by campaign, channel, audience, content, objective, and date. For example, include the number of impressions, swipe-ups, and conversions for each campaign, channel, and audience. Additionally, provide insights on the type of content that generates higher engagement and conversion rates.
To analyze the data on Stories, we can include the following metrics: 1) Visibility Metrics: Number of impressions, reach, and click-through rate (CTR). 2) Engagement Metrics: Number of likes, comments, and shares. 3) Conversion Metrics: Number of conversions, conversion rate, and return on investment (ROI). To add context, we can compare these metrics against: 1) Cost: Analyze the cost per impression, cost per engagement, and cost per conversion. 2) Date Range: Compare the performance over different time periods to identify trends and patterns. 3) Goals: Evaluate if the metrics align with the set goals. 4) Rates: Analyze engagement and conversion rates to understand the effectiveness of the Stories. 5) Benchmarks: Compare the performance against industry benchmarks to ascertain the performance level. Segment the data by: 1) Campaign: Compare the metrics across different campaigns to identify the best-performing ones. 2) Channel: Analyze how the Stories perform across different channels, such as Instagram, Facebook, or Snapchat. 3) Audience: Break down the metrics by the target audience demographics to identify any variations. 4) Content: Analyze the performance of different content types, such as images, videos, or interactive elements. 5) Objective: Assess the performance based on the different objectives, such as brand awareness or driving sales. 6) Date: Compare the performance on different dates or days of the week to identify any patterns or trends. For example, analyzing the Stories data may reveal that a campaign targeting a younger audience on Instagram generates higher engagement metrics, such as likes and comments, compared to campaigns on other channels or targeting different demographics. By segmenting the data, it becomes evident that video content tends to have a higher conversion rate, resulting in a better ROI.
To build an Instagram Stories dashboard, 1) connect your Instagram account and any related data sources. 2) Choose metrics such as views, reach, replies, and exit rates to monitor performance. 3) Segment data by individual story, audience demographics, posting time, and content type. 4) Add filters for date ranges or specific content types to make your report interactive. 5) Share your dashboard via PDF, scheduled emails, or direct links.

An Instagram stories dashboard is a tool that visually presents data related to Instagram stories, such as views, engagement, and reach, to help businesses monitor and optimize their social media strategies. It is significant for businesses as it provides insights into customer behavior, content performance, and campaign effectiveness. Tools like Looker Studio are commonly used to create such dashboards, which typically include key elements like story views, click-through rates, and audience demographics. Real-time data monitoring is crucial as it allows businesses to make immediate adjustments to their strategies based on current trends and performance. For learning how to create a marketing dashboard using Looker Studio, you can refer to our YouTube channel: https://www.youtube.com/@porter.metrics.

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Click on the “File” menu at the top left corner of the screen.

Select “Download as” from the drop-down menu and choose “PDF.”

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