Stop losing sales. Don't let Google Ads algorithms 'unlearn'

Ensure a steady, robust data stream to fuel Google Ads’ machine learning algorithms. Google Ads thrives on rich data to supercharge your ad campaigns for peak performance!

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Don't let algorithms 'unlearn'


Don’t let decrease revenue for cookie consent banner

The cookie consent banner is the pain that is killing your Google Ads performance. Google Ads Algorithms are unlearning due the real conversions that it can’t see, so algorithms think that your campaigns, audiences are not good enough and they are underperforming. Avoid wasting more marketing budget and start to feed again Google Ads algorithms while respecting user privacy.

Over 60% of users in Europe reject cookies impacting your Google Ads algorithms.

This leads to incomplete data, making ad campaign optimization less effective due to a lack of full user engagement insights.

Consequently, there’s a growing need for alternative tracking methods that respect user privacy and comply with regulations like GDPR, while still providing valuable marketing insights. 

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Don’t let your Google Ads algorithms ‘unlearn’ – avoid missing out on:

Reduced Campaign Efficiency:

Google Ads algorithms use historical data to predict and improve future campaign performance. If they lack sufficient data, their ability to optimize bids, target audiences effectively, and allocate budget efficiently can be significantly diminished.

Decreased ROI:

One of the primary goals of Google Ads is to maximize return on investment (ROI). If the algorithms cannot learn from complete conversion data, they may not be able to optimize campaigns effectively, potentially leading to lower ROI.

Slower Response to Market Changes:

Google Ads algorithms can quickly adapt to changes in market trends and user behavior if they have access to ongoing, comprehensive data. Without this, the response to such changes can be slower, putting the campaigns at a disadvantage compared to competitors who utilize data effectively.

Difficulty in Testing and Experimentation:

Continuous learning allows for effective A/B testing and experimentation with different ad strategies. Insufficient data can hinder the ability to test and refine campaigns, leading to less informed decision-making.

Wasted Ad Spend:

Without proper learning, algorithms might allocate budget to less effective keywords, demographics, or ad formats. This misallocation can result in wasted ad spend and missed opportunities.

Longer Optimization Periods:

If algorithms have to relearn due to interrupted or incomplete data, it can extend the time required for campaign optimization, delaying achieving optimal performance.

Empowering marketers and guaranteeing user privacy does not have to be a zero-sum game

Dumping Google Analytics is not the end of marketing metrics, but rather the beginning of a privacy-safe approach to the effective management of your digital properties and investments.

The Highest Privacy Standards in Analytics Ecosystem

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Privacy by Design

Privacy-first Web Analytics. If it’s not good for users’ privacy, we don’t build it.

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No Fingerprinting tracking

Based on the ePrivacy Directive, it would require consent for tracking.

Legally Sound, Privacy-Centric

NO Cookies

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Avoid Annoying Cookie Banners

Does NOT store personal data

NO store IP

Servers located in the EU

European Company

GDPR Compliant

ePrivacy Directive Compliant

We don’t sell your data

Privacy Marketing

NO legal tricks

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Welcome to the right side of history

If you’re noticing a decline in traffic within your web analytics tools, it isn’t necessarily because of GDPR or ePrivacy Regulations, nor is it due to the cookie banner. The reason is that users do not want to be tracked and are opposed to cookie placement