QuanticMind Announces New Bidding Optimization Capabilities

Jul 19, 2018


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QuanticMind, a platform built for smarter advertising, announced it has made a significant expansion to the Bidding Optimization Capabilities of its platform. These new features—which include new bid policy settings like Spend Targets and Minimum Margins, among others—are designed to give customers, even more, control when it comes to optimizing for their unique business goals.

QuanticMind has also delivered significant upgrades to both the algorithms and the infrastructure used to automatically calculate location and device bid adjustments for Google and Bing. The enhancements focus on improved accuracy and scalability in a way that drives performance improvements, helps customers adapt their own bidding strategies to changes in location and device trends and more.

With the addition of these new features and settings recently released by QuanticMind, marketers have the tools at their fingertips to ensure a better performance that's more predictable for customer acquisition. Marketers can also obtain more precision, control, and insight into the performance of their campaigns.

Bid Policy Settings

Two new bid policy settings acknowledge the fact that businesses often have multiple goals they must achieve. The Monthly Spend Target uses QuanticMind's Bid Policies—which are driven by data science and machine learning—to maximize a key performance indicator (KPI) like conversions, profit, or revenue, within the framework of a monthly spend amount.

A second Bid Policy setting that offers another layer of control is an optional minimum margin setting that's been added to the ProfitMax algorithm. This setting allows marketers to better manage the often conflicting—and complex—KPIs that are a part of most businesses. It does so by adding the ability to specify a minimum margin that has to be met, all while maximizing Profit or another Revenue-based KPI. This Minimum Margin is especially useful, according to QuanticMind, for businesses in the travel and retail industries due to their thin profit margins. Both of these new constraint settings are accessed via the Bid Policy Edit page.

Location and Device Bid Adjustments Algorithms

This upgrade to the QuanticMind interface improves the way that QuanticMind automatically calculates both device bid adjustments and location adjustments for Bing and Google. Implementing these adjustments helps marketers stay on top of device trends and location changes within their unique business to improve scalability, accuracy, and performance. 

Audience Reporting

Audience Reporting provides marketers with the ability to monitor and report on their search audiences' performance from right within the QuanticMind Platform. This feature streamlines audience performance reports and can be accessed via the Reporting tab.

All new features mentioned here, as well as continued improvements to the location and device bid adjustment algorithms and upgrades to the latest Google Ads API are available to all users immediately.