data activation

Make the most

out of your data

Admetrics helps you make the most out of your data, by putting your data to work.
S2s Integration

Work with superior

data quality

We feed back precisely tracked conversions, enriched with our data, to advertising networks such as Meta, TikTok, and Snapchat. This superior data quality enables their algorithms to optimize to the fullest extent - leading to up to a 90% higher ROAS. Embrace the power of enhanced data to significantly boost your advertising effectiveness and achieve unparalleled returns on your ad spend.
No more tab switching

Scale your ads directly

from within Admetrics

Our powerful interface enables you to change budgets of your ads, or turn them on and off directly from within Admetrics - across all major channels.  
Discover Your Best Customers

Identify and nurture

high-value customers

Create segments from your high value customers or certain product purchases to nurture them more specificly.
Predictive audiences

Supercharge

customer acquisition

Maximize the potential of your data and secure 30% more customers without increasing your ad spend. Admetrics' AI-powered technology analyzes your customers' behaviour and forecasts purchasing intent, unlocking new custom audiences for both retargeting and prospecting.

Customer stories

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Improve your decisions. Scale faster.

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Data Activation: Scaling & Accuracy Questions Answered

How can I fix the issue of "missing conversions" in Meta and TikTok Ads Manager?
Standard browser pixels are often blocked by privacy settings and iOS 14+ limitations. By utilizing a Server-to-Server (S2S) integration, you can capture precisely tracked conversions and feed them directly to the ad networks. This ensures your campaigns are optimizing based on complete data, often leading to a significant increase in reported ROAS.
What is the most effective way to improve Meta CAPI Event Match Quality (EMQ) scores?
High EMQ scores (typically 8.0 and above) require sending enriched, high-quality first-party data back to the platform. By enriching conversion events with additional customer signals before pushing them back to Meta, TikTok, or Snapchat, you provide the algorithms with the superior data quality they need to find your ideal customers more efficiently.
How can I reduce my Customer Acquisition Cost (CAC) by targeting audiences that native ad platforms usually miss?
Native platforms often rely on limited pixel data to find new customers. Using Predictive Audiences powered by AI allows you to analyze actual customer behavior and forecast purchasing intent. This identifies high-potential prospecting audiences that standard platform algorithms overlook, helping you secure more customers without increasing your total spend.
Is there a way to manage and scale budgets across all my ad channels without constantly switching tabs?
Efficiency in media buying is often lost in "tab-switching" fatigue. A unified Data Activation interface allows you to change budgets or turn campaigns on and off across Meta, TikTok, and Google directly from one dashboard. This centralized control lets you act on performance insights the moment you see them.
How can I implement a cookieless tracking setup that is fully compliant with GDPR and CCPA?
The most reliable way to maintain data accuracy in a privacy-first world is to move away from third-party cookies. An S2S integration uses first-party data and server-side signals to track the customer journey. This approach is inherently more compliant with global privacy laws while providing much higher data reliability than traditional browser-based tracking.
How do I leverage my first-party Shopify data to improve ad algorithm performance?
Your store data is your biggest competitive advantage. By feeding your actual purchase data back into the ad networks' APIs (like Meta's CAPI), you "teach" the algorithms exactly what a high-value customer looks like. This superior data loop enables the platforms to optimize their delivery to the fullest extent.
Can I acquire more customers without increasing my total marketing spend?
Yes. By using AI-powered technology to analyze purchasing intent, you can shift your budget toward Predictive Audiences. Targeting users with a forecasted intent to buy can help you secure up to 30% more customers by simply making your current spend more efficient rather than adding to the budget.
What is the best strategy for identifying and nurturing high-value "VIP" customers for better LTV?
The key is segmentation based on actual purchase history. By identifying segments of customers who have high lifetime value or have bought specific "hero" products, you can create dedicated nurturing campaigns. These segments can also be synced back to ad platforms to find "Lookalike" audiences of your best customers.
How can I automate the process of turning off "Vampire Ads" that aren't contributing to profit?
When your performance dashboard is connected directly to your ad accounts, you can immediately kill underperforming ads (or "Vampire Ads") that are draining your budget. Having the control to pause ads or adjust budgets within your analytics view ensures that you only scale what is actually driving profit.
How does feeding enriched conversion data back to ad networks help improve ROAS?
Ad algorithms are only as good as the data they receive. When you provide enriched, precisely tracked conversion signals, the algorithm can better identify which users are likely to convert. This improved optimization leads to better ad delivery, lower CPAs, and returns on ad spend that can be up to 90% higher than with standard pixel tracking.
How can I predict which customers are most likely to purchase next for more efficient retargeting?
Instead of retargeting everyone who visited your site, use AI-powered intent forecasting. By analyzing behavioral patterns, the system can predict which past visitors are truly ready to buy. This allows you to focus your retargeting budget on high-intent users, reducing wasted spend on "window shoppers."
How do I create high-quality lookalike audiences that actually result in sales?
The highest-quality lookalikes are built from your actual buyers, not just site visitors. By creating segments of your most valuable customers and activating that data directly into your ad platforms, you ensure that Meta and TikTok are searching for users who mirror your most profitable shoppers.
Is it possible to scale winners and kill losers across Meta, TikTok, and Snapchat from a single dashboard?
Yes. A powerful data activation interface enables you to perform multi-channel management in one view. Whether you need to double the budget on a TikTok winner or pause a failing Meta campaign, having "one-click" control across all major channels simplifies the scaling process for performance marketers.
How can I use predictive modeling to find new prospecting audiences with high purchase intent?
Predictive modeling analyzes thousands of data points from your existing customers to find common "intent signals." It then scans the broader audience pool to find new users who haven't interacted with your brand yet but exhibit those same signals, unlocking new and highly effective prospecting segments.
What are the benefits of a Server-to-Server (S2S) integration over a standard browser pixel?
A browser pixel is subject to browser crashes, ad blockers, and cookie deletions. An S2S integration is a direct connection from your server to the ad network's server. This results in higher data accuracy, more reliable attribution, and a much more robust data foundation for the ad networks to optimize your campaign delivery.

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