18May

Maximizing LinkedIn Ad Campaigns: Insights Dashboard, Custom Reports, Data Visualization, Metric Export & Automated Reporting

Looking to supercharge your LinkedIn ad campaigns? This buying guide is your ultimate resource! According to a SEMrush 2023 study, companies using comprehensive ad insights dashboards on LinkedIn saw up to a 30% increase in campaign effectiveness, and those using custom reports are 30% more likely to make data – driven decisions. Discover the difference between premium and counterfeit models in LinkedIn ad analytics. We offer a best price guarantee and free installation included for our recommended tools. Compare the features of the insights dashboard, custom reports, data visualization, metric export, and automated reporting setup now for optimal results!

LinkedIn ad insights dashboard

Did you know that companies using comprehensive ad insights dashboards on LinkedIn have seen up to a 30% increase in campaign effectiveness (SEMrush 2023 Study)? A well – structured LinkedIn ad insights dashboard can be a game – changer for your marketing campaigns.

Basic functions

Data filtering and performance analysis

One of the fundamental features of the LinkedIn ad insights dashboard is data filtering. You can sift through vast amounts of data to focus on what truly matters for your campaign. For instance, a B2B software company can filter data to see how their ads are performing among decision – makers in the tech industry. This helps in understanding which demographics are most responsive to your ads. Use LinkedIn analytics tools to compare metrics like clicks, impressions, and social actions. By doing so, you can learn which campaigns and ad creatives are most effective.
Pro Tip: Regularly perform data filtering based on different parameters such as time period, location, and job title. This will give you a more nuanced view of your campaign performance.

Campaign data display

The dashboard consolidates data from different ad campaigns, allowing you to monitor campaign spending, engagement metrics, and more. This means you can see at a glance how much you’re spending on each campaign and what kind of return you’re getting. For example, a marketing agency managing multiple client campaigns can quickly check if a particular client’s campaign is over – budget or under – performing.
As recommended by industry experts, make it a habit to review your campaign data display regularly to catch any issues early and make necessary adjustments.

Data visualization

At their core, dashboards turn raw data into easily digestible visualizations like bar charts, line graphs, and heat maps. Different types of data require different types of visualizations. For numerical data, charts and graphs work well, while categorical data might be better presented in tables. Sankey charts have become an important visualization technique for advanced analytics. They can vividly illustrate customer journeys across various channels, highlighting conversion rates and drop – offs.
Pro Tip: When choosing a visualization, consider your audience. If you’re presenting to stakeholders who are not data – savvy, use simple and clear visualizations.

Key metrics and their significance

Key metrics are the heartbeat of your LinkedIn ad campaigns. Metrics like clicks, impressions, and conversion rates tell you a lot about how your ads are performing. For example, if your click – through rate is low, it might mean your ad creative needs improvement.
An ROI calculation example: Let’s say you spend $1000 on a LinkedIn ad campaign and generate $5000 in sales. Your ROI would be (($5000 – $1000) / $1000) * 100 = 400%. By identifying key metrics that align with your advertising objectives and setting up a customizable reporting dashboard for easy data visualization, you can better understand and improve your campaign’s ROI.
Step – by – Step:

Identify key metrics relevant to your campaign goals.
Use the LinkedIn ad insights dashboard to track these metrics.
Analyze the data regularly to make informed decisions.
Key Takeaways:

The LinkedIn ad insights dashboard offers essential functions like data filtering, campaign data display, and data visualization.
Understanding key metrics and their significance is crucial for optimizing your ad campaigns.
Regular analysis and adjustment based on dashboard data can lead to better campaign performance and higher ROI.
Try our LinkedIn ad performance calculator to quickly assess the effectiveness of your campaigns.

Custom report building

Did you know that businesses that utilize custom reports are 30% more likely to make data – driven decisions according to a SEMrush 2023 Study? Let’s explore how to build custom reports for your LinkedIn ad campaigns.

Basic steps

Navigate to the custom report section

To begin building your custom report on LinkedIn, start by going to the report section. When you hover over it, you can navigate down to the "Custom" option. This will bring you to the custom reports area where you can start designing your unique report. For example, a small e – commerce business looking to analyze the performance of their LinkedIn ads can use this method to access the custom report section and start tailoring reports to their specific needs.
Pro Tip: Bookmark the custom report section for quick access in the future. It saves time, especially when you need to generate reports frequently.

Consider the needs and metrics

Before creating a report, you must consider the needs of your business and the metrics that matter most. Are you looking to track engagement, conversions, or reach? Identify the key performance indicators (KPIs) that align with your business goals. For instance, if you’re running a lead – generation campaign, metrics like click – through rate (CTR) and cost per lead (CPL) would be crucial.
Top – performing solutions include using data analytics tools that can help you identify the most relevant metrics for your LinkedIn ads. As recommended by Google Analytics, analyzing historical data can provide insights into which metrics have had the most impact on your business in the past.

Customize columns if needed

Once you’ve navigated to the custom report section and identified your metrics, you may need to customize the columns. You can add or remove columns based on your requirements. For example, if you want to focus on the performance of specific ad creatives, you can add a column for creative type.

Using key metrics in the dashboard

Dashboards are powerful tools as they turn raw data into easily digestible visualizations such as bar charts, line graphs, and heat maps. When using key metrics in the dashboard, make sure the visualizations are appropriate for the data. For example, bar charts are great for comparing values across different categories, while line graphs are ideal for showing trends over time.
A case study of a software company showed that by using Sankey diagrams in their LinkedIn ad dashboard, they were able to vividly illustrate customer journeys across various channels, highlighting conversion rates and drop – offs. This led to more targeted ad campaigns and a 20% increase in conversions.
Pro Tip: Choose the right type of visualization. Bar charts, line graphs, pie charts, and scatter plots each serve different purposes. Select the one that best represents your data and insights.

Common limitations or challenges

One common limitation is overloading with data. When dashboards become data dumps, they lose clarity and utility. Another issue is poor design choices, which can make it difficult to read and interpret the data. Additionally, when dealing with extensive datasets, dashboards might experience slower load times or even timeouts, particularly if the underlying reports are complex.
An industry benchmark for load times of LinkedIn ad dashboards is that they should load within 3 – 5 seconds for optimal user experience. If your dashboard is taking longer, it might be time to optimize the data and visualizations.
Try our data visualization tool to see which type of chart works best for your LinkedIn ad data.
Key Takeaways:

Navigate to the custom report section by hovering over the report section and selecting "Custom".
Consider your business needs and identify the key metrics before creating a report.
Use appropriate visualizations in the dashboard to represent your data effectively.
Be aware of common limitations such as data overload and slow load times.

Data visualization in LinkedIn

Did you know that businesses using effective data visualization in their marketing dashboards are 2.5 times more likely to make informed decisions quickly (SEMrush 2023 Study)? In the context of LinkedIn ads, proper data visualization is crucial for understanding campaign performance.

Types in the ad insights dashboard

Bar charts, line graphs, heat maps

At the core of data visualization in LinkedIn’s ad insights dashboard, these tools turn raw data into easily digestible visuals. Bar charts are excellent for comparing different data points, such as the performance of various ad campaigns side – by – side. Line graphs, on the other hand, are great for showing trends over time, like how your ad impressions have changed over weeks or months. Heat maps can highlight areas of high and low activity, for example, showing which times of the day have the highest click – through rates on your ads.
Pro Tip: When using bar charts, make sure to order the bars logically, either by value or by chronological order, to make the comparison easier for your viewers.

CPM trend visualization

Visualizing the Cost Per Mille (CPM) trend is essential for managing your ad budget effectively. A line graph can be used to show how your CPM has fluctuated over time. For instance, if you notice a sudden spike in CPM, you can investigate if it’s due to increased competition or a change in your targeting parameters.
As recommended by Google Analytics, regularly monitoring CPM trends can help you adjust your ad strategies in real – time.

Pie charts and scatter plots

Pie charts are useful for showing the proportion of different elements within a whole. For example, you can use a pie chart to show what percentage of your ad impressions come from different devices (desktop, mobile, tablet). Scatter plots, however, are great for identifying relationships between two variables. In the case of LinkedIn ads, you could plot the relationship between ad spend and conversions to see if there’s a correlation.
Top – performing solutions include using Tableau to create these advanced visualizations easily.

Types in custom reports

When creating custom reports in LinkedIn, you have more flexibility in choosing the types of visualizations. You can use Sankey charts, which have become an important visualization technique for advanced analytics. Sankey diagrams can vividly illustrate customer journeys across various channels, highlighting conversion rates and drop – offs. For example, you can show how users move from initial ad impression to lead generation across different LinkedIn pages.
Pro Tip: When designing custom reports, focus on the key metrics that align with your advertising objectives. This will ensure that your report is both relevant and actionable.

Key metrics visualized by different tools

Different types of data require different types of visualizations. For numerical data like ad spend, impressions, click – through rates, and conversion metrics, you can use charts, graphs, or tables. Tools like our own can simplify your workflow by automatically syncing these metrics directly into Tableau for easy visualization.
If you’re looking to understand the relationship between different categories, Sankey diagrams can show metric flows and category relationships. They are also great for visualizing relationship density and trends.
Try our ad performance calculator to see how different visualization types can impact your understanding of key LinkedIn ad metrics.
Key Takeaways:

Different visualization types serve different purposes in LinkedIn data analysis.
Regularly monitoring CPM trends can help manage ad budgets effectively.
Custom reports offer more flexibility in choosing visualization types, especially Sankey charts for advanced analytics.
Focus on key metrics when designing visualizations for better decision – making.

Export metrics in LinkedIn

Did you know that businesses that regularly export and analyze metrics from their LinkedIn ad campaigns see an average of 20% higher ROI compared to those that don’t (SEMrush 2023 Study)? Exporting metrics in LinkedIn is a crucial step in understanding the performance of your ad campaigns and making data – driven decisions.

Why Export Metrics?

Exporting metrics allows you to have a comprehensive view of your LinkedIn ad campaign performance. It helps you track your key performance indicators (KPIs), identify trends and insights, and communicate your results to stakeholders (Info 9). For example, a marketing agency working with a B2B client might export metrics to show the client how their LinkedIn ads are generating leads and brand awareness.

Step – by – Step: How to Export Metrics in LinkedIn

Access the Campaign Manager: Log in to your LinkedIn Ads account and go to the Campaign Manager. This is where all your ad campaigns are managed and monitored.
Select the Campaigns: Choose the specific ad campaigns for which you want to export metrics. You can select individual campaigns or multiple ones at once.
Choose the Metrics: Decide which metrics you want to export. LinkedIn offers a wide range of metrics, including impressions, clicks, conversions, and cost – per – click. Select the ones that are most relevant to your campaign goals.
Select the Date Range: Specify the time period for which you want to export the metrics. You can choose a pre – defined range like last month or customize it according to your needs.
Export the Data: Click on the export button and choose the file format (e.g., CSV or Excel). The file will be downloaded to your device.
Pro Tip: Before exporting the metrics, make sure to review your selection to ensure you’re getting all the necessary data.

Industry Benchmarks

Here’s a comparison table of some key LinkedIn ad metrics and their industry benchmarks:

Metric	Benchmark
Click – through Rate (CTR)	2 – 3%
Conversion Rate	1 – 2%
Cost – per – Click (CPC)	$2 – $5

These benchmarks can help you evaluate the performance of your own campaigns. If your CTR is below the benchmark, you might need to optimize your ad creatives or targeting.

Handling Data

Once you’ve exported the metrics, you can use reporting tools to design customized reports that showcase the identified key metrics (Info 2). These tools can turn raw data into easily digestible visualizations like bar charts, line graphs, and heat maps (Info 1). As recommended by Tableau, a leading data visualization tool, using visualizations can significantly improve your understanding of the data.
Try our ad performance calculator to quickly analyze the exported data and get actionable insights.
Key Takeaways:

Exporting metrics in LinkedIn is essential for understanding campaign performance and driving ROI.
Follow the step – by – step guide to export the right metrics for your campaigns.
Use industry benchmarks to evaluate your campaign performance.
Leverage reporting tools to visualize and make sense of the exported data.

Automated reporting setup

Did you know that businesses that automate their reporting processes can save up to 30% of their time on data collection and analysis, according to a SEMrush 2023 Study? An automated reporting setup for your LinkedIn ad insights dashboard can revolutionize the way you manage your campaigns.

Importance of integration

For a dashboard to provide real – time insights effectively, it must integrate seamlessly with your existing marketing tools and platforms. When you set up automated reporting, the data flow between LinkedIn ads and your other tools like Tableau becomes smooth. For example, our tool simplifies your workflow by automatically syncing your ad spend, impressions, click – through rates, and conversion metrics directly into Tableau. This means you don’t have to manually transfer data, reducing the chances of human error.
Pro Tip: Before choosing an automated reporting tool, ensure it is compatible with all your existing marketing tools. This will save you from future integration headaches.

Customizing reports

Custom reporting is a vital part of an automated reporting setup. Use the reporting tool to design customized reports that showcase the identified key metrics. For instance, if you’re running a LinkedIn ad campaign for a new product launch, you might want to focus on conversion rates and click – through rates for specific audience segments.
A practical example could be a software company that used customized reports to analyze the performance of its LinkedIn ads for a new feature launch. By creating reports that specifically tracked the engagement of users in the target industry, they were able to adjust their ad strategy and increase conversions by 20%.
Pro Tip: Regularly review your customized reports and adjust the metrics based on your campaign goals. This will ensure that you’re always getting the most relevant insights.

Visualization of data

At their core, dashboards turn raw data into easily digestible visualizations like bar charts, line graphs, and heat maps. Sankey charts have also become one of the important visualization techniques in recent times for advanced analytics. Sankey diagrams can vividly illustrate customer journeys across various channels, highlighting conversion rates and drop – offs.
As recommended by industry experts, choosing the right visualization for your data is crucial. If you’re showing trends over time, a line graph might be the best option, while for comparing different categories, a bar chart could be more suitable.
Pro Tip: Use color – coding in your visualizations to make it easier to distinguish different data points at a glance.
Try our data visualization generator to create engaging and informative visuals for your LinkedIn ad reports.
Key Takeaways:

An automated reporting setup saves time and reduces errors by integrating with existing marketing tools.
Customized reports should be tailored to your specific campaign goals and regularly reviewed.
Choosing the right data visualization technique, such as Sankey charts, can provide deeper insights into your LinkedIn ad performance.

FAQ

What is the significance of using the LinkedIn ad insights dashboard?

According to a SEMrush 2023 study, companies using comprehensive ad insights dashboards on LinkedIn have seen up to a 30% increase in campaign effectiveness. The dashboard offers functions like data filtering, campaign data display, and data visualization. It helps in understanding key metrics and optimizing ad campaigns for better ROI. Detailed in our [LinkedIn ad insights dashboard] analysis, this tool is crucial for marketers.

How to build custom reports for LinkedIn ad campaigns?

First, navigate to the custom report section by hovering over the report section and selecting "Custom". Then, consider your business needs and identify the key metrics relevant to your goals. You may also need to customize columns based on requirements. Industry – standard approaches suggest using data analytics tools to find relevant metrics. Unlike manual data collection, this method is more efficient.

Steps for exporting metrics in LinkedIn?

Access the Campaign Manager in your LinkedIn Ads account.
Select the specific ad campaigns for which you want to export metrics.
Choose the relevant metrics, like impressions, clicks, etc.
Specify the date range.
Click the export button and choose a file format. Exporting metrics provides a comprehensive view of campaign performance, as recommended by industry experts.