Serving the wrong ad to the wrong person is the biggest problem that the advertising industry faces today. Here is where we ensure that your ad sticks. Our data-driven, result-oriented approach aligns perfectly with the goals of brands and agencies looking to run advertising campaigns that assure conversions.

Our proprietary technology, developed in-house, makes this possible. We record every action the users take at different stages of their mobile transactions, analyse their behaviour and consumption patterns. This helps us convert their every action into an opportunity that could meet our advertisers' goals.

With our experience in adtech, our proprietary technology is created for the long haul. No wonder, we have helped generate results for small and big businesses globally. We have partnered with 1000+ publishers, advertising networks and supply-side platforms (SSPs).

Here is how we go about cracking the biggest challenges facing digital and mobile advertising agencies and brand marketing companies in the adtech space today.


We believe in the continuous development of our proprietary technology for advertising networks, and therefore, offer a performance-centric digital platform for server-to-server integrations and real- time bidding platform (Version 2.3). Our technology with inbuilt redundancy, guarantees that we always have the latest technology to serve advertisements.

Its artificial intelligence constantly betters itself as it works alongside advertising network platforms. To be more specific, our engines can deliver an advertisement in 2 milliseconds on the user's device. Employing a host of state-of-the-art algorithms, we optimise the supply side by up to 30%—so that we consistently identify and serve the most profitable advertising campaign in real time. We employ the latest technologies to deliver the best bang for the advertisers' buck.


Managing large volumes of clicks and conversions wasn't easy, until now. With Collectcent's in-house platform, thousands of digital advertising campaigns are targeted precisely to deliver billions of global advertising impressions. Making this possible are some key tools that we deploy: real-time bidding (RTB), big data analytics and precision targeting.


New York's interactive Advertising Bureau pegs a loss of $1.3 billion every year to malware fraud on mobile. To tackle this problem precisely, our proprietary advertisement fraud and bot control technologies have malware-proof firewalls that guard against data leaks, malvertising and other non-compliance issues that affect operation and performance. They systematically block traffic from click farms, botnets, data centre traffic, proxies and malicious advertisement injectors, among others. We use our cutting-edge technology to optimise these processes. We monitor our digital advertising in real time so that malicious patterns and undesirable behaviour are detected faster and blocked swiftly. This is performance advertising that works wonders for mobile ad networks.

We also prevent fraud before it happens with a range of cross-checking tools to filter active IPs, user agents and device IDs, geolocations (such as the countries with the largest evidence of fraud), click volume by IP address and device ID, user agent versus IP benchmarks and more.

With our proprietary tools, we study fraudulent behaviour and find ways to crack them. The basic task is to detect fake advertising impressions, clicks, form fills, app installs and conversions. Here, our ways of detecting app install fraud and in-app fraud score higher on fraud management benchmarks. Just what our clients ordered.

Here are some other identifiers that root out fraud:

If several clicks and installs originate from a single IP address

If the time taken to install the app differs from MTTI

If there is a difference in IPs between clicks and installs

If installs take place at regular intervals with robot-like precision

If the user stops his engagement soon after installing an app

If a player installs too many apps from the same phone model

If installs are high, but retentions are abysmally low

If the app versions differ vis-a-vis the app store

If installs occur without location or telecom service provider data