An AdOps team’s success is measured by its consistency, quality of output and driving customer success at an optimal cost. Many organizations have taken different approaches to manage AdOps by leveraging cost-effective locations for execution, process & system automation, etc. This labor-intensive process has substantially evolved into a standardized process. AIWA questions the status quo for a fresh outlook to drive even higher efficiency and scale. AIWA is your Ad Operation’s AI-driven integrated automation framework which transforms the traditional AdOps landscape and helps you to buy back valuable time to innovate for customer success.
Publisher AdOps Demo
Agency AdOps Demo
AIWA interacts with your tech stack and mimics human interactions to execute your scalable and predictable AdOps tasks
Off-load your busy, repetitive & voluminous onshore/offshore work to AIWA and gain a minimum of 1.5x ROI in less than 6 months.
Make a wise investment
Campaign effectiveness, quality of service and cost are key factors that drive revenue and profitability for digital advertising businesses. An important factor to sustain profitability during scale is to leverage the best of talents at an optimal cost. AIWA foundation helps digital advertising businesses embrace global talent from cost-effective locations to handle standardized operational tasks and establish round the clock support for quality output. This helps the core team reclaim time and focus on customer management, revenue generation, and process automation.
Unravel the source of truth from digital ad-spend metrics across all your channels Establish real-time business analytics to maximize your spend across right channels with consistent ROIs
Step-by-step data integration strategy to bring in data from all the digital investment channels at the right frequencies.Identify ‘what to measure’ by defining the right measurement KPIs based on business priorities in each maturity stage.
Gain insights into competitor ad strategies and performance across various digital investment channels. Compare competitor insights with the brands' own internal spend data from all channels to benchmark, evolve and reinforce spend strategy.
Measure contribution of media spend to the sales conversions or demand generation Build ROI attribution models that take into account the spends from other internal and external business functions.
Identify the right investment channels for awareness and acquisition and then optimize yields across those channels
Establish the right media spend assurance practice structure that brings in operational process standardization and monitoring mechanisms to act upon real time decisions
Automate ad quality assurance & safe guard brand experience in your programmatic ad delivery and management life cycle
Guarantee smooth and compliant ad delivery with clean, safe and appropriate ad content. Standardize, optimize and continuously monitor the entire Brand safety management process in programmatic/Direct Ad delivery.
Quality Assurance mechanism for advertiser domain classification and ad verification processes. Detect auto-redirects, data leakages via pixel drops for consumer safety and publisher/ad-tech reputation.
Identification of interstitial ads, pop-ups, auto-expand, auto-scroll, auto play sound to improve user experience. Avoid latent ads that slows down loading speed and affect the user's experience resulting in poor content monetization.
Continuous machine driven automatic scan of ads for monitoring compliance and user experience. Auto detect brand damaging ads using proven Google Vision API and drive brand safety awareness.
Flexibility to configure scan settings across various geo proxies to measure user experience across different geographies. Monitoring and reporting mechanism to efficiently manage the health of operations in the programmatic ad management and domain management life cycle.