Twitter Ads Report template for Looker Studio by Porter

Get the actual Twitter Ads on Looker Studio template used by Porter to monitor PPC performance.

Meet the author

Porter

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

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Template setup

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

Twitter Ads Report template overview

With this LinkedIn Ads template on Looker Studio, monitor specific metrics such as click-through rate, impressions, and conversions. Break down data by campaign, ad type, or audience segment to identify top performing strategies. Share insights with your team or clients via PDF, link, or email to influence decision-making. Answer questions like, “Which ad campaign drives the highest conversion rate?” or “What audience segment delivers the most impressions?”

Features

100% custom charts

White-label

Custom metrics​

All-time historical data

Schedule email alerts​

Filters

Interactive

Goals​

Data blending

FAQs

A LinkedIn Ads report should include: Visibility metrics like impressions, reach, and click-through rate. Engagement metrics such as likes, comments, and shares. Conversion metrics like leads generated, conversion rate, and cost per conversion. Data should be segmented by campaign, channel, audience, content, objective, and date to get insights. For example, analyze which campaign drove the highest conversion rate, or compare the performance of different audiences in terms of engagement metrics.
To analyze LinkedIn Ads data, include the following in the report: 1) Metrics: Break down by visibility (impressions, reach), engagement (clicks, CTR), and conversion metrics (conversions, cost per conversion). 2) Context: Compare against the cost (CPM, CPC), date range (weekly, monthly), goals (lead generation, brand awareness), rates (CTR, conversion rate), and benchmarks (industry or previous campaign performance). 3) Data Segmentation: Segment the data by campaign (Campaign A vs. Campaign B), channel (Sponsored Content vs. Text Ads), audience (gender, age group), content (ad copy, image), objective (website visits vs. lead form submissions), and dates (compare performance over time). For example, compare the CTR of Campaign A’s Sponsored Content to Campaign B’s Text Ads to identify the more effective ad format.
To build a LinkedIn Ads dashboard, 1) connect your LinkedIn Ads account and any other relevant data sources. 2) Choose metrics such as click-through rate, impressions, and conversions to monitor performance. 3) Segment your data by campaign, channel, audience, product, customer content, objective, and date for a detailed analysis. 4) Add filters or buttons for interactivity, such as filtering by date range or campaign type. 5) Share your dashboard via PDF, scheduled emails, or links for easy access and review.
A LinkedIn Ads dashboard is a visual tool that displays key performance indicators (KPIs) related to LinkedIn advertising campaigns. It is significant for businesses as it helps them track the effectiveness of their LinkedIn ads, make data-driven decisions, and optimize their marketing strategies. Tools like Looker Studio are commonly used to create such dashboards, which typically include elements like click-through rates, impressions, conversions, and cost per action. Real-time data monitoring is crucial as it allows businesses to respond quickly to changes and trends. For learning how to create a marketing dashboard using Looker Studio, visit our YouTube channel: https://www.youtube.com/@porter.metrics.