Custom Digital Bid Modifiers

Annalect is one of the leading providers of digital custom bid modifier services in the Nordics. Our cutting-edge technology allows businesses to optimize their online advertising campaigns by automatically adjusting bids for specific customer segments on different data signals.

We will use your company’s data or 3rd part data to setup of the best possible algorithms for your digital media buying.

Our team of experts has extensive experience in the field of online advertising and customer behavior, and we can help you gain a competitive edge by optimizing your online advertising campaigns. Contact us today to schedule a consultation and learn more about how we can help you increase conversions and drive growth for your business.


Better measurement and optimization

Digital Bid Modifiers provide detailed data and insights on the performance of advertising campaigns

Automation directly to buying platforms

Digital bid modifiers can automate the process of adjusting bids, which can save businesses time and resources

Integration with multiple systems

Digital Bid Modifiers can be integrated with other systems like CRM, analytics, and marketing automation


Audience targeting: The ability to target specific customer segments, such as high-value customers or those at risk of churn, based on demographics, behaviors, and interests.

Real-time bid adjustments: The capability to adjust bids in real-time based on changes in customer behavior, market conditions, and other factors.

Automated bidding: The ability to automate the process of adjusting bids, which can save businesses time and resources.

Campaign optimization: The ability to measure and optimize advertising campaigns for better results.

Reporting and analytics: Detailed data and insights on the performance of advertising campaigns, which allows businesses to measure and optimize their campaigns for better results.

How it works

The process of using custom bid modifiers typically begins with identifying the targeting options that are most important for a particular campaign. For example, a company may want to increase their bid for mobile users or for users in a specific geographic location.

Once the important targeting options have been identified, the custom bid modifiers are set up in the advertising platform. This can be done by creating different ad groups for each targeting option and setting a different bid amount for each ad group.

The ads are then served to the targeted audience, and the bid amount is adjusted based on the custom bid modifiers. This allows the company to bid more for the audience that is most valuable to them and less for the audience that is less valuable.
Custom bid modifiers can also be used in combination with automated bidding strategies, such as bid optimization, which adjusts the bid amount in real-time based on the performance of the ads.

Overall, the use of custom bid modifiers allows companies to optimize their media buying strategy and target their ads more effectively to the audience that is most likely to convert.

How to get started

First, we will work with you to understand your specific needs and goals. This includes assessing your current customer data and identifying areas where insights and predictions can be leveraged to drive growth.

Next, we will work with you to set up your CRM system and integrate it with our prediction services. This includes connecting to your data sources, configuring the system to meet your unique requirements, and training your team on how to use the insights.

Once your system is set up, we will provide ongoing support to ensure that you and your team are able to fully leverage the power of CRM audience insights and predictions. This includes regular check-ins, troubleshooting assistance, and additional training as needed.

We understand that every organization is unique, that’s why our approach is tailored to meet your specific needs. Contact us today to schedule a consultation and learn more about how we can help you get the most out of your customer data with CRM audience insights and predictions.”

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