4 Ways to use first-party data to boost PPC performance

Businesses are significantly seeing data as a valuable asset. It gives advertisers and PPC campaigns access to knowledge that would otherwise be challenging to acquire. Every firm’s core data is the information gathered from its own customers. Analytics networks, subscription services, sales figures, incoming call records, resource uploads, and other methods to gather first-party data.

Although there are GDPR restrictions on first-party data, PPC advertisers must have adequate data to attain predictive value for informed decision-making, which can be daunting for small-sized organizations. Here are 4 efficient ways to leverage first-party data to boost your PPC performance. Read through this article carefully before you decide to hire a PPC expert for your business.

What do you mean by First-Party Data?

Any type of data a corporation acquires from its consumers is referred to as first-party data. Consumers or even internet traffic could be included in this category.

A brand’s website isn’t the only source of first-party data. This could come from a variety of sources, including mobile apps, email and Mobile advertising, Web Analytics, texts and calls, and more.

Advertisers and PPC specialists can utilize this information to improve their marketing activities and make sure they’re relevant to their target demographic.

  1. Set Precise Bids and Targets

Smart Bidding is Google’s framework for deep learning-based bid approaches. Smart Bidding has undoubtedly sparked a debate in the market since its launch, with inconsistent results documented so far and coupled back limitations for PPC professionals.

Google, on the other hand, can examine 70 million signals in less than 100 milliseconds. Consequently, if you offer Google accurate information, its Smart Bidding software can theoretically surpass even the most sophisticated Google Ads script combinations and account configurations.

Some of the most exceptional smart Bidding techniques offered by Google include:

  • Target CPA
  • Target return on investment.
  • Maximum number of conversions and the maximum value of conversions

Rather than establishing CPA / ROAS targets on evidence from traditional website conversions, you may use CRM data associated with Google Analytics to:

  • Monitor performance using a comparable post-campaign assessment.
  • Establish clear bidding objectives that reflect the influence of PPC activities on a company’s bottom line more precisely.
  1. Increase Customer Expansion

Through the use of first-party consumer data, Google Customer Match helps you target potential consumers. For instance, you can use Google Ads to transfer your mailing lists. This feature is currently accessible on platforms such As Facebook, Twitter, and LinkedIn. The idea is to reach out to those who are already familiar with your brand because they are more likely to be receptive.

Besides focusing on individuals who are already familiar with your company, you can also create targeting lists depending on traits that are shared by both your current and emerging audiences. For example, Google’s Audience function lets you identify targets depending on your present audience’s search behavior.

  1. Integration Between Data Sources and Google Analytics

By default, Google Analytics analyzes basic online conversion data. It does not, however, cover the following topics:

  • The result of a prospect’s interaction with your sales associates, including whether a phone conversation culminated in a sale.
  • Once a lead has been created by your application or website, the worth of any prospects that your sales department may acquire.

Metrics like these are instances of the type of data required for more effective PPC decision making:

  • The net amount of all revenue earned in terms of sales
  • Exchange rate of leads to sales
  • Data on lead generation
  • The notion is that this information may then be linked to a prospect that came from your webpage

The ability to incorporate user ID labels into a majority of the CRM systems is crucial for sending your consumer data back into Search Engines. As a consequence, you’ll have a set of custom objectives to use in your Google Ads depending on activities taken away from your page following initial conversions.

  1. Regulate Budget Efficiency

When it comes to PPC campaigns, you want to make sure that your money is being spent efficiently. According to your first-party data, businesses may construct an effective RLSA (remarketing list for search ads) that addresses leads with a high possibility of conversion.

Broadly stated, showing PPC advertising to people who don’t favor your products or services is a pointless exercise. These lists can help you locate possible leads and guarantee that your ad reaches the right individual — your eventual consumer.

  1. Utilize Offline Conversion Data for Feeding Smart Bidding

Apart from the more precise targets, Google Ads’ computerized bidding algorithms should indeed be supplied with post-conversion measurements as indicators to maximize against. Since you’re optimizing for conversion rate, for instance, you’d presumably like to be certain about the metrics you’re giving to Google Ads are precise and clear?

Have you ever wondered about one of the most prevalent conversion methods of phone calls? Phone conversations can often result in significant revenue, which is not collected by default in Google Ads or Ppc Advertising. Your sales staff will be able to demonstrate the ability with the help of a call tracking tool-

Keep track of the quality of leads, any purchases made as a result of a conversation, and the dollar amount of those transactions. In Google Ads, connect all of this information to the source and keyword level.

Be mindful of this and rather than relying on averages derived from interactions with your sales department, you could try to increase the precision of your data and hence the quality of Smart Bidding judgments, by integrating it into Google Analytics using a robust tool.

Bottom Line

Deep learning and automation allow for management at a magnitude that humans cannot match. Nevertheless, if the data utilized to program the algorithms do not provide a complete picture, you will find yourself making poor and uninformed decisions, resulting in poor outcomes.

By unifying first-party data with web analytics networks and CRM, you can use more comprehensive data to drive decisions beyond your PPC activities, leading to better performance and more timely and accurate representation at the corporate level.