Technology — AdCTRL & Self-Improving Campaigns | Adello
Patented Deep Learning Built In-House Since 2008 Cookieless by Design

Patented AI AdTech,
Swiss-Engineered

Every layer of Adello's platform — infrastructure, data management, machine learning, bidder, and ad server — was engineered in-house in Zürich. Full data control, no black boxes, optimization at the individual impression level.

1.6BDevices worldwide
1,000+Advertising partners
99%+Fraud-free traffic
3Data center regions
17+Years of learning
2008Founded in Zürich
17 Years of Building

Adello Technology Timeline

From Switzerland's first mobile ad network to a full AI-powered omnichannel platform — every milestone built in-house.

2008
Founded
2010
First Campaigns
2012
Deep Learning Patent
2013
Programmatic Live
2015
Global Expansion
2018
AdCTRL Mature
2019
AdCTRL Defender
2020
Full Cookieless
2021
ViewCTRL
2022
PXLSTRM YouTube
2023
1.6B Devices
2024
PXLSTRM TikTok
2025
Privately + AI
2026
Omnichannel AI
Soon
CTV · Pinterest
2008
Adello Founded
Zürich. First mobile ad network in DACH.
2010
First Live Campaigns
2012
Deep Learning Patent
Impression-level prediction algorithm patented.
2013
Programmatic Live
2015
Global Expansion
EU, North America, Asia.
2018
AdCTRL Platform Mature
Full stack in-house: DMP, SDK, ML, bidder, ad server.
2019
AdCTRL Defender
99%+ fraud-free, pre-bid elimination.
2020
Full Cookieless Solution
2021
ViewCTRL
2022
PXLSTRM — YouTube
2023
1.6B Devices
2024
PXLSTRM → TikTok
2025
Privately + AI Agents
2026
Full Omnichannel AI
Roadmap
CTV · Pinterest · ATV
Platform Stack

What's Inside AdCTRL

Every component built in-house. No third-party dependencies, no black boxes — full visibility into every decision the system makes.

Deep Learning Engine
🧠

Deep Learning Engine

Patented algorithms predicting conversion probability per individual impression. Updates with every data point across all campaigns simultaneously.

User Index
🎯

User Index

Proprietary audience profiling using device, location, demographics, and interest signals. No third-party cookies required.

AdCTRL Defender
🛡️

AdCTRL™ Defender

Pre-bid invalid traffic elimination. All managed campaigns run through Defender — blocking fraud before any bid is submitted.

ViewCTRL
👁️

ViewCTRL

Guaranteed IAB-compliant viewable mobile ads (vCPM). Confirmed viewability on every placement — not statistical estimates.

PXLSTRM
🎬

PXLSTRM

AI contextual video targeting. Reads video content, dialogue, and objects to match ads — no behavioral tracking, no cookies.

Privately
🔒

Privately

KJM-certified on-device age verification for regulated ad categories. Under one second, nothing stored or transmitted.

Adello vs Standard DSP

Why Standard Programmatic Falls Short

Traditional DSPs buy audience groups averaged together, optimized by a human once a week. Adello evaluates each impression individually, in milliseconds, fully automated. That gap compounds with every campaign.

📊
Standard DSP
Segment-based buying, manual optimization
📦
What gets optimized
Audience segments
Users averaged together. The worst in the group drags down the best.
🕐
How fast
Daily / weekly — manual
A human reviews and adjusts. The market has moved a thousand times by then.
👆
What it measures
Clicks only
Hit the click target, miss the business goal entirely.
🔄
Between campaigns
Resets to zero
Each campaign starts over. Everything learned last flight is discarded.
🍪
Identity
Cookie-dependent
Audience continuity degrades with every browser policy change.
⚠️
Fraud exposure
~11.5% of clicks invalid
Reactive filters catch problems after the budget is already spent.
Adello AdCTRL
Impression-level AI, fully automated
🎯
What gets optimized
Every individual impression
Conversion probability predicted per impression, using all prior data.
How fast
Millisecond — automated
No human in the bid loop. System responds to every signal in real time.
📈
What it measures
Sessions, sign-ups, conversions
Optimized against the actual business outcome — not proxy metrics.
🧠
Between campaigns
Cumulative — never discarded
Every campaign builds on all previous ones. Knowledge compounds.
🔓
Identity
Cookieless since day one
Adello's User Index never relied on third-party cookies.
🛡️
Fraud exposure
99%+ fraud-free, verified
AdCTRL Defender blocks invalid traffic pre-bid. Third-party verified.
VS
How a Campaign Runs

From Bid Request to Conversion

Every Adello campaign follows the same automated cycle — repeating millions of times per day, improving with each iteration.

📡
STEP 1

Impression Arrives

A bid request from an ad exchange — device type, geo, publisher, and page context all included.

🔬
STEP 2

Data Enrichment

Enriched in real time with first-party and behavioral signals from Adello's proprietary User Index.

🧮
STEP 3

Conversion Predicted

The deep learning model scores this impression against all prior campaign history. A probability is generated.

STEP 4

Bid or Pass

If the score clears the threshold — bid placed. If not — passed. Fully automated, no human in the loop.

🔁
STEP 5

Model Updated

The outcome feeds back immediately. Every campaign that follows starts smarter because of this one.

Brand Safety & Fraud Detection

Three-Stage Fraud Prevention Process

Applied to every managed campaign. Adello's system continuously cross-validates data using over 20 suspicious patterns — from dwell-time anomalies and geo inconsistencies to domain spoofing and data center reverse identification. Invalid traffic is blocked pre-bid, before any spend is made.

01

Automatic Keyword Filter

All new traffic and publishers scanned by keyword classification. Approximately 90% of invalid or unsafe traffic eliminated before any human review takes place.

~90% blocked
02

Continuous Manual Whitelisting

Publishers passing the automatic filter are reviewed by Adello's operations team before being approved for live campaigns — maintained as a continuous process, not a one-time setup.

Ongoing
03

Post-Campaign Analysis + Sampling

Automated analysis and manual sampling run after every campaign. Results feed directly back into the filter and whitelist — improving accuracy for every campaign that follows.

Feedback loop
Suspicious patterns detected (20+)
Dwell-time anomalies Display-to-click timing Geo consistency Screen size validation Domain spoofing Data center reverse ID Suspicious screen interactions
Click anomaly heatmap vs normal distribution
Top: Anomalous click concentration — fraud pattern identified by AdCTRL Defender.
Bottom: Normal click distribution — organic user behaviour.
Geo Data Correction

Raw Exchange Data Is Unreliable

According to exchange and publisher data, approximately 3 million unique devices appear to be simultaneously on the exact same geo location — a physical impossibility that signals corrupted or spoofed geo signals. Adello cross-validates every lat/lon coordinate against Reverse-IP Lookup and device-level data, reaching geo precision that is industry-leading. The result: location targeting that reflects where a user actually is, not where a broken signal says they are.

Reverse-IP Lookup + Lat/Lon cross-validation removes ~3M phantom device clusters from raw exchange data before a single bid is placed.

Raw vs corrected geo targeting data
Top: Raw geo data — anomalous concentration spikes indicate corrupted location signals.
Bottom: Adello-corrected geo targeting — validated lat/lon distribution across Switzerland.
Get Started

Every Campaign Gets Smarter Than the Last

Adello carries learning forward across every campaign you run. The longer the relationship, the better the performance.

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