OmniVertex aims to unify fragmented ad data for marketers
DGTOOHL's Anuj Bhandari launches OmniVertex, an AI-led platform to consolidate Meta, Google, TikTok and Snapchat campaign data for sharper media planning.

The modern media plan runs on many platforms. Meta, Google, TikTok and Snapchat each report success in their own language. Anuj Bhandari, founder and principal strategist at DGTOOHL, has entered that gap with OmniVertex, an AI-powered marketing intelligence and optimisation platform that pulls cross-platform campaign data into a single ecosystem.
01 · What OmniVertex sets out to do
OmniVertex is built for advertisers and agencies managing media investment across multiple digital platforms. The platform consolidates media spending and campaign performance data, then applies AI and machine learning to analyse results and identify optimisation opportunities. The promise is to move teams away from manual report-stacking and toward faster, more integrated media planning.
- Unifies spend and performance data from Meta, Google, TikTok and Snapchat.
- Uses AI and ML to flag optimisation opportunities and inform budget shifts.
- Aims to cut manual reporting and support sharper campaign decisions.
02 · The fragmentation tax
Fragmented reporting is not a small annoyance; it is a decision bottleneck. When media data sits in separate reports, marketers lose the holistic view needed to spot inefficiencies. OmniVertex’s logic is simple: if you cannot see the full picture, you cannot allocate your next rupee intelligently.
03 · What the founder is saying
“Advertisers and agencies today are working across multiple platforms, each generating its own set of data and performance metrics. The challenge is to bring these different inputs together to understand the larger picture and make better-informed decisions. With OmniVertex, we aim to simplify this process by bringing media spending into a unified environment and using machine learning to support more efficient budget allocation and campaign optimisation in one single platform.”
That framing positions OmniVertex less as a dashboard and more as a planning layer for media investment.
04 · Why CMOs should pay attention
Digital advertising is under growing pressure to prove accountability and return on marketing spend. As campaigns become more complex across platforms and markets, advertisers are seeking tools that turn fragmented data into actionable insight. For India’s marketing leaders, this launch is a useful reminder that integration must come before optimisation. AI can only recommend a budget move if the data underneath is connected and trustworthy.
Indian teams often run awareness and performance campaigns side by side, and platform-level dashboards can hide cross-channel effects. A unified system is not about buying more data; it is about making existing data comparable.
05 · The road ahead
Bhandari plans to expand OmniVertex into Southeast Asia and the Middle East, where diverse digital ecosystems are pushing demand for integrated marketing intelligence. That move suggests the product is being built for multi-market media planning, not just single-country reporting.
Before adopting any new intelligence layer, map where your spend and campaign data currently lives. A unified platform is only as strong as the quality of data feeding it.
Source: Afaqs!


