Offernet

A game-changer in the world of digital marketing

Offernet’s Touchpoint® system is a sophisticated marketing technology, grounded in big data and machine-learning that offers a detailed view of the entire customer journey from initial interaction to conversion.

Transforms campaign economics and outcomes

Using machine learning, it can instantly refine campaigns to address inefficiencies. A standout feature of Touchpoint® is its capacity to trace conversions back to specific ads, helping businesses determine the most effective marketing strategies.

Provides feedback metrics on users

The system measures the effectiveness of each touchpoint, from upstream vanity metrics to downstream revenue performance or growth metrics. Each metric at each touchpoint, from both online and offline interactions, creates a data echo that ultimately becomes part of the whole machine-learning exercise.

Consolidates and centralises data inflows

The system pulls data from diverse sources, like real-world interactions and audience profiling, to gain insights into how customers engage with brands.

Frequently Asked Questions

The machine-learning system in Touchpoint® builds on Facebook and Google’s analytics. We extract insights from both systems and use this information in concert with other channels (such as call centres, point-of-sale systems and post-sale product lifecycle information), to provide a multi-channel view, something Google and Facebook cannot provide individually. We are able to optimise, not just in terms of whom to market to, but also in terms of the daily dynamics of the entire campaign rollout across all active channels, thereby ensuring not just accurate targeting but holistic end-to-end campaign analytics.

Offernet is driving towards a fully-automated campaign design and management strategy, where the algorithms are trained by learning from their human counterparts in ever more complex decision-making circumstances. This will be achieved through a continually growing, tightly-coupled human-AI environment that generates human “truth” data in real time for the machines to learn from and seek to emulate. As the network of operating entities grows, an increasingly global picture will emerge that provides deep insights into the flows of multinational consumer behaviour and market activities.