Analytics and Usage Metrics for Solutions

Solution analytics

The Solution analytics page provides insights into how users find, deploy, and run your solutions, including how your marketing campaigns are performing. It consists of three sections: Conversion rate, Usage metrics, and Active users.

Conversion rate

Conversion rate helps you understand how users move through the journey of discovering, learning about, configuring, and deploying your solutions. Use these insights to develop and refine your go-to-market initiatives for more effective acquisitions.

Users go through a four step journey to learn about, configure, and deploy your solution:

  1. A customer visits your solution's details page
  2. A customer clicks Launch on Compute Engine
  3. A customer configures the solution and clicks Deploy
  4. A customer's deployment succeeds.

Under conversion rate, you can view this data grouped by solution, channel, or marketing campaign properties (campaign, source, medium). Data can be filtered by individual solutions, channels, or campaigns for specific date ranges.

By default, Solution analytics shows you the conversion funnel across all channels and solutions. Use the filters to drill into specific channels, campaigns and solutions.

Tracking marketing campaigns

Partner Portal provides tools to help you understand the performance of your marketing campaigns to drive customer awareness and usage of your solutions. You can track conversion rates across steps of the funnel for individual marketing campaigns by creating URLs that direct users to your solution's page following a specific format.

Once created, you can add these campaign URL identifiers to Partner Portal for tracking. When Campaigns is selected, only traffic attributable to the campaign names you added will appear in the chart.

How are campaign names attributed to funnel steps?

In most cases, a user follows a marketing link, views a solution, configures a solution, then deploys the solution in a single session where the campaign name is clearly attributable to each stage.

In other cases, a customer may follow a marketing link but exit before deploying. If that customer returns later and deploys, that deployment will be counted for the campaign that originally brought the customer to GCP Marketplace. If the customer visited GCP Marketplace multiple times from different campaigns before finally returning in a session with no campaigns, the campaign where the user got closest to deployment will be credited with the deployment.

Creating URLs that can be tracked

You create campaign URLs by setting the utm_campaign query parameter on your solution URLs to a unique value. For example the following URL sets the utm_campaign query parameter to "ft_spring_promo" for the Google Click to Deploy Wordpress solution:

https://console.cloud.google.com/marketplace/details/click-to-deploy-images/wordpress?utm_campaign=ft_spring_promo

You can also filter and group by utm_source and utm_medium values as long as there is also a utm_campaign value defined.

Tip: You can use a tool like Google Analytics Campaign URL Builder to build campaign URLs easily.

Tracking campaigns

Use Add campaigns to add your campaigns to the partner portal for tracking. Enter the utm_campaign values used in your URLs. The portal can track multiple utm_campaign values up to a limit of 2000. Use Manage campaigns to rename or remove existing campaign values. Campaigns are saved and will be loaded every time you visit Solution analytics.

Once your campaigns are added, the Partner Portal will display funnel analytics for all historical visits to your solution's details page that include the specified utm_campaign values. This means you can retrieve for prior marketing campaigns, not just new ones.

Usage metrics (VM solutions)

Usage metrics helps you understand how much your solutions are being used over time. This information can be useful in answering questions like "Is there an increasing or decreasing usage of my solution?" or to estimate your monthly revenue for fixed-rate or CPU-based billing models. Data can be viewed for solutions, deployment zones, and machine types.

Two metrics are available in this section: VM hours and core-hours. Each metric is aggregated for a 24 hour period. If you have 48 VM hours on a given day, that means an average of 2 VMs were running throughout. If you have 144 core hours on a given day, then there may have been 10 customers running g1-small VMs (0.6 cores each) or one customer running a 6-core custom VM. You can change the Group by setting to explore more.

Virtual machines are deployed with multiple cores (or fractional cores). A f1-micro VM counts for 0.3 cores and a g1-small VM counts for 0.6 cores. These views can help you understand how many deployments are active at a given time and the size of those deployments.

Active users (VM solutions)

Active users helps you understand how many users are using your solution over time.

This information can be used to answer questions like "How many active deployments of my software are there?" and "What size of VM do most of my users run?"

Two metrics are available in this section: projects and accounts.

Virtual machines are deployed to GCP projects. Some customers may have multiple GCP projects linked to a single billing account.

Accessing Solution analytics

Solution analytics is the default page that opens when you access Partner Portal. You can access it from other pages within the portal by clicking the left hand menu or by navigating directly to the URL: https://console.cloud.google.com/partner/analytics and choosing your GCP Marketplace publishing project.

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