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Ad tech and programmatic solution development
SSP and Ad Network software development
CTV and OTT advertising platform development services
Custom in-game advertising solutions
Custom advertising solutions for publishers
Customer data platform development
Programmatic DOOH Advertising Platform Development
Ad Fraud Detection and Prevention software development
MarTech Solutions Development
Retail marketing technology
AI & Machine Learning (ML) development services for MarTech
MarTech data analytics software development services
Highly scalable software development for MarTech
Big data software development services for MarTech
Xenoss MarTech Low-Code Platform
Big Data Solutions
IT infrastructure cost optimization
Cloud Migration Services
Dedicated Development Teams
Newsroom and Events
Awards and Recognition
Partnerships and Memberships
Xenoss MarTech Low-Code Platform
Low-code platform functionality may be assembled quickly with existing components.
Ability to list campaigns, view campaign details, set up new campaigns or edit existing ones, start and pause ad campaigns.
Allows setting ad campaign budget, including allocation or limiting campaign budget on specific campaign items (e.g. creative, flights, etc), limiting amount of budget to be spent per hour/day or capping ad frequency display
Integration with advertising traffic sources, e.g. ad exchanges, ad networks, social networks. Some ad exchanges may need additional functionality like “private marketplace” or “creative verification”.
Ability to target ad campaign by specific mobile device properties, e.g. device model, connection type, carrier, operating system.
Ability to target ad campaign by specific country, region, city.
Ability to target ad campaigns by specific demographic or behavior audience segments, e.g. “Males 35+”, “Female from big cities with high income” or “Frequent strategy games player”
Ability to target ad campaigns towards specific time slots, for example show ads just on Fridays between 3pm and 5 pm.
Set of tools for evaluating traffic availability and potential costs for running specific ad campaign.
Set of tools for collecting audience data and building audience segments for further targeting.
Automatic Campaign Optimization
Tools to optimize campaign for better performance in automated way (little to no human actions needed) using predictive analysis algorithms.Includes bidding optimization, fraud detection.
Manual Campaign Optimization
Set of tools for optimizing campaign performance in a manual way, e.g. setting whitelists and blacklists for specific publishers, targeting for specific time slots, mobile carriers, etc.
Tracking ad campaign events, e.g. impressions, clicks, installations and also in-app events such as purchases, social shares, etc.
Reporting & Analysis
Set of tools for tracking day to day ad campaign status and analyzing its performance for further optimization.
Set of tools for support team, allowing monitoring/troubleshooting ad campaigns and overall software/hardware infrastructure.
Data Collection Web SDK
Collects user behaviour events on publisher side from browser and sends it to the tracking services.
Process inbound RTB traffic and bids for bid requests; parse bid requests; select the campaigns whose targeting fits to inbound bid request; logging.
Central server that holds ad campaigns configuration, budgeting subsystem, and hosts Front End service.
Campaign Front End
Logical service that implements User Interface for campaigns management.
The service for managing user permissions, and user actions authentication.
Service that accomplishes logging of high-frequency traffic of funnel events – bids, impressions, clicks, actions.
Predictor (Optimization Engine)
Analyses campaign statistics for building prediction model, that forecasts user reaction on specific advertising contact. Being integrated into Bidder, enables optimize campaigns automatically, i.e. change campaign targeting
in a way to distribute budget towards most performing audience.
Generates aggregated statistics of user segments by multiple metrics. Using for media planning and reporting purposes.
Slice-and-dice (OLAP) capable, scalable reporting component with REST API access. Used for analytics UI, reporting data exports, etc.
Builds audience profiles from raw user behavioural statistics (views, clicks, actions) for following segment building process.
Builds audience segments by analysing user profiles.
DMP/Real-time Audience DB Cluster
Real-time audience database that extracts audience profiles for analysis when making bidding decision.
Health Monitoring System
System that tracks correctness of operations of all components of the platform.
ML based system that makes heuristic analysis of bid requests to make probabilistic decision on whether particular bid request is generated by bot.
Let’s discuss your challenge
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