We help brands increase recurring revenue and reduce acquisition cost by backtracking high-value customer sources.
We help brands connect the right tools, make sense of what their data is saying, and act on it — so revenue stops slipping through the gaps.
The right tools, wired correctly. Data flowing from ad spend through to your CRM — without leaking at the joins.
Analytics, attribution, and dashboards that show you what your data actually means — not just that it exists.
CRO experiments, engagement campaigns, and predictive models that turn the insight into revenue you can measure.
The Framework
Every high-value customer leaves a path from first impression to loyal repeat buyer. Most brands only see two or three points on it — usually whichever tool they bought last. We work across the whole architecture: ad serving, attribution, analytics, CDP/CRM and CEP — and close the two places most stacks leak value.
The first exposure — paid, organic, referral, or word of mouth.
Signal of interest strong enough to act on, and to attribute correctly.
The moment a visitor becomes a trackable identity and the onboarding journey begins.
Identity resolution — stitching every device and session into one customer record.
Behavioural events pushed from your data layer into your engagement platform.
⚠ Leak point — miss this and personalisation never firesTurning mapped events into segments the marketing team can actually target.
⚠ Leak point — incomplete events land customers in the wrong segmentCampaigns and journeys triggered off real behaviour, not guesswork.
Catching the drop-off before the customer is gone — and running the conversion experiments that bring hesitating customers back through.
Attribution loop — dormancy and churn data feed back into ad spend reallocation, so media budget stops chasing customers who were never going to stay.
Isolating your highest lifetime-value customers using predictive modelling — propensity scores, churn forecasts, and LTV projections that tell you who to protect, who to target, and what they're likely worth.
HVC export loop — your best customers become Custom and Lookalike Audiences back on the ad servers, so acquisition finally targets more people like them.
How We Work
From full implementation to a single training session — structured around what you actually need.
For brands whose ad spend, attribution, and engagement tools don't talk to each other — or aren't fully in place yet at all.
For partners that win on media and strategy but need someone to own the data and automation layer underneath. We're not a vendor — we work as an extension of your team.
For early-stage companies building their MarTech foundation before they've bought the wrong tools, inherited a broken data layer, or committed to a stack they'll outgrow.
For marketing and product teams who want to understand how data collection, enrichment, and utilisation actually fit together — before they're stuck with a stack no one knows how to use.
We help people understand the ecosystem itself — how ad serving, attribution, CDP/CRM and engagement actually fit together — for teams and individuals who want to make sense of it before they build on it.
Why Now
The MarTech market matured faster than the talent that runs it — and the analytics layer built on top of it is where most of the value is still being left behind. That gap is the business.
Dhanush Jain's career mirrors the evolution of marketing itself — from traditional media to digital performance to full-stack MarTech and CEP implementation across India and the Middle East. 15 years. Every channel. Nearly every vertical. He's been on the agency side, the implementation side, and the vendor side — and started Grey Wolf because he kept seeing the same patterns: platforms built for scale, running at a fraction of their capability; brands with the right tools but a blind spot where customer understanding should be; and implementations that were architecturally sound but couldn't justify their spend.