I'm Taranjeet, a paid media leader shaping growth strategy across a varied client portfolio. I connect commercial goals with the right media investment, measurement and execution, whether the priority is generating qualified leads, growing ecommerce revenue or improving marketing efficiency. I also care about what happens behind the campaigns.
I work across tracking and measurement, from Google Tag Manager to server-side tagging and Conversions APIs, to give teams more reliable data for their decisions. And I build practical AI workflows that reduce repetitive tasks and give people more time for the work that needs their judgement.
Every one starts the same way: fix the measurement, agree the objective, then optimise towards it.
ECOMMERCE · GOOGLE ADS · META · SHOPPING
Ecommerce revenue up 40% year on year, at the same return
Over the last two months, an ecommerce brand brought in 40% more revenue than the same period last year, with conversion rate up almost 80% and ROI holding steady. On Meta, a creative breakthrough finally connected with the audience. On Google, I segmented the products, restructured the campaigns, acted on early signals to capture demand, and improved feed quality for maximum presence across Shopping and Performance Max.
REVENUE YOY+40%
CONV. RATE≈ +80%
ROIHeld
PORTFOLIO · BUDGETS · LANDING PAGES
30% average revenue growth across the client portfolio
Budget reallocation, audience segmentation, creative testing and closer alignment between ads and landing pages. For one dental client, we doubled spend, bookings grew with it, and the practice won a bigger share of its market.
AVG. REVENUE+30%
DENTAL SPEND+100%
BOOKINGSUp
CREATIVE TESTING · META · GOOGLE ADS
CTR up 30% and CPA down 18% through structured creative testing
I introduced tests of hooks, formats, messages and calls to action, then used the findings to brief stronger creative iterations, so every new round of creative started from evidence rather than guesswork.
Duplicate or missing conversions feeding Smart Bidding
Landing pages live with no tags at all
Platform numbers that never match the CRM
Optimising to the wrong goal
Chasing form fills instead of qualified leads
ROAS targets that ignore margin and AOV
National settings on a local business
Changes without a diagnosis
Bids changed before anyone checks why CPC moved
Budget pacing noticed at the end of the month
The same manual checks, every week, by hand
Comparison
Traditional performance vs AI-driven performance
Not just knowing the platforms' AI features, but building my own agents, triggers and bots on top of them. AI does the heavy lifting; a human still owns the judgement.
Traditional performance
Bids and budgets adjusted by hand, once a week
Reports pulled manually and read days later
Search terms and feeds reviewed when there's time
Problems spotted after the money is spent
Anomalies found by someone scrolling a dashboard
Platform know-how, but nothing automated on top of it
AI-driven performance
Smart Bidding fed clean, server-side conversion data
Automated triggers that act on pacing, spend and performance anomalies
AI agents that audit search terms, feeds and landing pages
AI bots that answer reporting questions on demand, in Slack or email
Daily health checks and dashboards, built and delivered automatically
Issues flagged the same day, with the fix attached
Also by me · free
The Paid Media Brain
Every paid media problem, mapped. Linked notes that take you from what you see on the dashboard to why it's happening, how to prove it and what to fix.
Whether it's a role, a collaboration or just a conversation about paid media and AI, I'm always happy to chat. Drop me an email, or leave your details and I'll get back to you.