Marketing Automation That Grows Revenue From Your Existing Stack

You almost certainly don't need a new platform. Most underperformance isn't a tool problem, it's that the platform is wired for scheduled campaigns instead of behaviour-triggered lifecycles. ONE CX rebuilds the logic on the MAP you already run, so you finally get the engine you paid for without a migration. New implementations only when there's a real capability gap, never as the default.

We take the martech stack you already pay for and make it run: we build the lifecycle journeys, switch on the triggers, connect web, app, email and WhatsApp, and operate it day to day. You get journeys that move revenue, not a tool sitting at a third of its capability.

It depends on your sector, scale and stack: app-first retention points to CleverTap, email-heavy to Netcore, WhatsApp-led to Gupshup, lean mid-market to Zoho. We recommend for your needs, not a partnership, and we build and run on whichever you choose.

Most agencies hand over a strategy and a setup, then leave. We operate the automation in production, building journeys, tuning them on real behaviour, owning the revenue number. The team that designs it is the team that runs it.

Every journey runs on consented, purpose-bound data, governed at the data layer, not bolted on per campaign. So your automation keeps running when DPDP enforcement tightens, instead of campaigns getting pulled and data frozen mid-quarter.

Retention is automation's highest-return job: churn-risk, win-back and renewal journeys that run by default. We build the post-purchase journeys most brands skip, the ones that lift lifetime value without new acquisition spend.

It depends on scope: making one journey live and building and operating the full lifecycle are different engagements. Most start with a short audit of what your stack can already do but isn't. From there the arc is the same every time: audit and map the lifecycle, build and connect the journeys, launch and prove them on live behaviour, then operate and tune on what the data shows. You see the plan and the price before any commitment.

No, and the fence matters. Data Engineering builds the foundation: the pipelines, the identity resolution, the one trusted customer record. Marketing automation is what runs on top of it: the journeys, triggers and campaigns that act on that record. We build the pump; Data Engineering lays the pipes. If your data layer is the problem, start there, we'll tell you so in the audit.

Personalisation supplies the decision, automation delivers it. Our Personalisation practice builds the engines that choose what each customer should see next; marketing automation is the delivery system that gets that decision to them, on the right channel, at the right moment. Most programmes need the delivery system running first, then the decisioning gets smarter on top.