Boost your Ad performance with Adenty
Expand high-intent audience coverage. Turn fragmented signals into identity-rich profiles. Improve campaign performance with deeper insights
The Tension of Advertising Reality
Pressure to demonstrate advertising ROI persists — and so do data bottlenecks that limit acquisition and engagement performance. What’s behind them?
01
Signal loss
Anonymization and browser data fragility hide or erase a large share of signals – causing great ads to target the wrong consumers
02
Fragmented ecosystems
A tangle of tools and platforms creates data silos – undermining the data depth campaigns need to perform
03
High-intent audience blindness
Even leading tracking systems miss up to two-thirds of returning consumers – the most data-rich and easiest to convert
Turn Data Shortage Into Granular Insight — with Adenty
Adenty is an advanced data collection and actioning platform. With Adenty, advertisers can expand their convertible audience, capture signals with precision, improve match rate, and build better-performing campaigns with richer data
Drive faster results from returning audiences
Returning consumers are low-hanging fruit: easier to acquire and deliver quick results. Adenty recognize them with 99% precision against other methods – see the difference
Higher precision up to
x2
vs Google Analytics
x2.8
vs IP + User Agent
x3.2
vs cookies
Returning Visitors Volume
New and Returning Visitors Differentiation
Visitor Recognition Duration
Page Views Detected
Why Adenty
Adenty is privacy-safe, easy to install, and doesn’t cause performance or compatibility issues
99%
Accuracy in recognizing returning visitors
Zero
Zero impact on frontend performance
Easy
Integration with your tech stack
Flexible
Licensing and pricing
GDPR
Compliant with secure
EU- and U.S.-based cloud infrastructure
Support
Throughout your journey
All Adenty solutions for Advertisers and AdTech
Collect richer audience data and uncover more easy-to-convert consumers for conversion rate improvement on both ends
Case studies
See what other brands have achieved by strengthening identity resolution and real-time data activation with Adenty
Let ChatGPT, Claude, or Perplexity analyze it for you
Frequently Asked Questions
Ecommerce personalization means adapting the shopping experience to a visitor’s interests, behavior, and previous interactions. A store can tailor products, content, offers, or recommendations based on what a shopper has viewed or done.
Someone who keeps browsing running shoes, for example, could see more relevant products when they return. Nobody wants to scroll through the same generic product grid for the fifth time.
Personalization can improve conversion rates by making the next step more relevant to each shopper. A visitor repeatedly browsing one category may respond better to related products or content than to the same experience shown to everyone.
Useful signals include:
- Repeat visits
- Product and category views
- Search activity
- Cart behavior
Connecting these signals helps ecommerce teams understand what shoppers care about and tailor the experience accordingly. Explore what Adenty can add.
A recommendation engine is software that suggests products or content based on information about a shopper and their behavior. Depending on the setup, recommendations can use browsing activity, previous purchases, product relationships, and other signals.
Think of “you may also like,” recently viewed products, or related items. The goal is to give shoppers a useful next click without making them play hide-and-seek with the product catalog.
Ecommerce businesses can identify anonymous shoppers by connecting website activity to persistent visitor profiles before someone submits personal information or creates an account. This can connect interactions such as product views, searches, and repeat visits across sessions.
For returning shoppers, recognizing previous activity adds useful context to the current visit. Adenty can help connect fragmented website activity and build a more complete view of anonymous visitors.
There is no single ecommerce conversion rate that counts as “good.” Results vary by product category, traffic source, device, price point, business model, and purchase journey.
Your own historical performance can give you a more useful benchmark. Comparing results across visitor types, channels, devices, and product categories can also show where shoppers are converting and where they are quietly heading for the exit.
Start by looking at what shoppers do before they convert and where they leave the buying journey. Repeated product views, return visits, category interest, cart activity, and checkout behavior can point to useful opportunities.
You can then test areas such as:
- Product discovery and recommendations
- Experiences for returning shoppers
- Cart abandonment recovery
- Checkout and landing-page performance
The trick is connecting the behavior to a specific action, so you can see which changes actually influence conversion. Make more of your visitor data in a 30-minute demo.
