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Voiro introduces ‘Revenue Reconciliation’ for various sectors’ content monetisation

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Voiro, a Bangalore based ad-tech and RevOps SaaS startup that provides revenue analytics and workflow automation solutions to media and content-led companies, recently introduced Revenue Reconciliation, a revolutionary product to help these businesses easily monetise their content via advertisements.

The product can be used by companies that aims to monetise content through advertising including OTT players, broadcasters, publishers (in the digital media context), telecom, gaming sector, e-commerce, and other retailers with an e-commerce presence.

Voiro’s Revenue Reconciliation product gives these businesses an accurate, consistent view of their advertising revenue in real-time, a task that can often be challenging to achieve at scale, enabling them to take corrective action in a timely manner or letting them make better decisions based on true data.

Commenting on the product, Kavita Shenoy, Founder and CEO, Voiro said, “Voiro’s Revenue Reconciliation engine seamlessly handles hundreds of campaigns concurrently and provides a single view of revenue that is trusted, visible, and error-free. Our goal is not just to create innovative products for media businesses, but also to give our clients world-class SaaS products that generate accurate, real-time reconciled revenue data in no time.”

Managing revenue for a large advertising business is not a trivial problem, but is one that has not been well-solved to date. Irrespective of the kind of set up, large media businesses need a single revenue figure without the hassle of downloading delivery reports from each ad server, each SSP (supply-side partners) and any other downstream systems. Businesses that run their business in this way end up needing to take into account several different revenue models and metrics, different currencies and exchange rates. This is an expensive, time-consuming, and highly error-prone process, and one that holds these businesses back from scaling efficiently.

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