How to Set Up SaaS Marketing Attribution Tracking

To put together an attribution model for your SaaS you need to integrate your advertising platforms, web analytics, marketing automation software, and Customer Relationship Management (CRM) systems into one data pipeline.

The requirement for this arises from the software buyer’s journey, which encompasses multiple stakeholders, various devices, and an extended period for decision-making, which traditional single-click tracking pixels do not adequately capture. 

Following this guide will help you put in place an infrastructure that links all the touchpoints with the revenue generated by the contract and so be able to identify the channels that lead to customers and not just free trial registration.

The effectiveness of standard browser-based pixel tracking is influenced by the presence of privacy applications and ad blockers.

One solution is to move the data collection process to a server-side “container” and have it hosted under your own domain name. This process involves the transfer of information from your web server to your marketing tools, where event data is maintained in its original form, and a uniform set of rules is present. This type of framework, when applied, has the capacity to influence the processing of missed conversions and the structuring of financial statements.

To create this server-side “container”, you need to:

• Open a new container in your Google Tag Manager account and select Server as the deployment type.  
• Get a cloud instance from Google Cloud Platform or any other server infrastructure provider and upload the script handler. 
• Create a new record in your DNS manager (for example, metrics.yourdomain.com) and direct it to your new server container so that it refers to a first-party domain.  
• Update the main website code to incorporate the new tracking snippet that will enable the monitoring of all the usual page view and click events onto the new custom subdomain instead of the usual third-party sites.  
• Create a new server-side tag in the GTM workspace to track events from Meta Conversion Api, LinkedIn Conversions API, and Google Analytics 4.

Discrepancies in tracking parameters can complicate independent cross-channel analysis and typically involve efforts for data record rectification. The consistency of linking among accounts, social networks, emails, and partners can impact the quality of information present in the marketing database. This kind of configuration allows any execution or processing of traffic to be done without the help of a person.

To create your tracking taxonomy: 

• Put together a template in a spreadsheet where the marketing team will find the UTM creator and ensure there are no mistakes in the campaigns’ parameters.  
• Apply strict lowercase rules to the elements of the table with data to avoid the division of the data into separate rows for example values like LinkedIn, linkedin and LINKEDIN.  
• Modify your product signup forms to include hidden text boxes that are prefilled with the values for the sources, media, campaign, content and unique browsers like gclid or fbclid.
• Maintain a basic JavaScript function on the pages of your landing pages to watch for the URL containing the query string, to grab those particular variables, and then to save them in the visitor’s session storage.  
• Set your forms to automatically grab the information from the visitor’s browser and append it to the hidden fields as the visitor is pressing the submit button.

Connecting an anonymous visitor’s first visit to their “Closed-Won” designation in the CRM is a process that requires careful management due to its inherent complexities. To keep track of an individual person’s activities across different systems, the identity tracker should also be extended to include unobtrusive functions.

Upon an unknown user’s visit to your website, the tracking script assigns a random cookie value to the visitor’s local browser profile. Activity of this tracking ID is maintained when the site visitor provides certain details, including the page visited, content engaged with, and request origin, within an unpopulated user profile. Identity fusion occurs once an anonymous prospect provides an email address in a trial registration form or download request.

To achieve this kind of connection:

• Consider integrating a database or an analytics application with your website to generate a unique user identifier cookie, for example, the GA4 client_id. 
• Set up a marketing automation system to capture this information together with form submissions, copying it to a separate field in your CRM record.  
• Build a query in SQL or a marketing data layer that uses the lead’s identity to bring in all the events that were logged to that identity in previous visits and assign them to the new contact record.
• Set up an automated webhook that gets triggered whenever an account executive moves an opportunity to the “Closed-Won” status.  
• Tell the system to follow the CRM contact record from the custom cookie field back to the session log and find out all the marketing channels that were present in that session.

Thus, how to recognize the right attribution model: First-Touch, Last-Touch or Linear for the sales process? 

The selection of the attribution model is also dependent on the extent of the product’s sales process, which is also influenced by the volume of monthly transactions. A deviation of the model from the sales process can impact how funds are distributed, possibly leading to an over-allocation towards activities for product user acquisition or to search engine clicks that occur after the decision phase.

By utilizing the attribution model that incorporates conversion speed, the reports can reflect aspects of the business’s operations.

When trying to put together the strategy for your allocation: 

• Go through all the cases to determine what the average sales cycle is and the amount of contact the account has. 
• Apply the methodology according to this operational framework:

• Open a tool or go to the analytics space of your company’s tools with the settings under the control of the administrator to get the settings for your model. 
• Edit the primary settings of the models with the help of your model logic in all the accounts’ dashboards. 
• Create a window to track the effect of budget changes on the Cost of Customer Acquisition.

A significant portion of the time spent on the research stage of a software purchase is taking place in non-public areas of the internet. These include Slack channels, private groups, podcasts, and direct messages between individuals.

The reporting of activities not monitored by click-based cookies as traffic origins in your database can affect the distribution of investment towards generic search engine marketing. To avoid this information manipulation, create a process to track marketing and sales activity, including customer responses to offers.

To fully engage with these non-apparent transactions: 

• Add a non-buyable text box to your primary high-intent website forms that includes a statement of  “How did you hear about us?”
• Configure it to log the responses into a separate text column in the contacts’ profiles in your CRM.  
• Create a data integration program inside your customer data platform to get the contact information of the different companies where the contact is working and merge it with the contact’s profile in one single record using the company’s email extension (e.g.  @domain.com).  
• Create a rule basis in your reporting system to assign a marketing channel if an engineer clicks on a useful link, or their VP of engineering requests a demo in one of the paid search boxes a few weeks later.

To improve the effectiveness of digital ads delivery systems and focus on the revenue generated by the pipeline instead of just the number of clicks, you need to relate the progression metrics in the CRM to your advertising networks. Such systems have replaced the traditional method of manual control of advertising campaigns with one that is based on financial returns.

These returns come from correcting the placement of the audience, or the group of users, with whom the ads are shown, and the ads that are shown to them. If you insert the conditions and consequences of the contract into your ad networks, they will start looking for a better audience, one that matches your buyers’ profiles.

To create this kind of continuous data pipeline: 

• Start by enabling the use of special identifiers to be created by ad clicks (GCLID for Google Ads, LiClid for LinkedIn) in your ad libraries.  
• Create tracking steps within your CRM system to note the change in the stage of the opportunity when the opportunity is changed from a dunce to a qualified prospect or an closed won account.
• Set up a safe channel using native CRM interfaces or cloud apps (for example, Zapier) to send event information to the ad networks within 90 days.
• Connect your pipeline files that contain the payload with any object that is valid: click IDs, status names, conversion timestamps, and the actual value in the software or the amount of the software contract.
• Change your ad bidding strategy within your search campaigns from “Maximize Conversions” to “Maximize Conversion Value” only after your platform has accumulated at least 30 offline values.

To understand if a marketing channel increases or decreases platform revenue, allocate a single table in your CRM for sales and take into consideration only completed sales. If Cost-Per-Lead (CPL) is the exclusive metric for performance evaluation, investments could be directed to activities that produce leads with a limited impact on revenue generation.

The practice of comparing channel-specific expenses with Customer Lifetime Value gives an impression of true profitability models.

To get the overall financial performance picture: 

• Connect the ad spend variables in your active advertising networks with a centralized data processing interface like Looker Studio.
• Join the ad spend amounts with the CRM opportunities revenue tables using a SQL combine.  
• Build performance measurement equations into your workspace in such a way that they give an exact representation of Customer Acquisition Cost and the Return on Ad Spend using standard formulas:

• Create structured reporting panels that include marketing channels together with the revenue performance metrics:

• Set up an automatic weekly email trigger to send this chart overview to your team leads, who will then make the necessary changes.