Spend judged by what it brings back
Data-driven ad campaigns that maximize ROI. We don't just spend your budget — we optimize every rupee for real, measurable results. From audience research and creative development to A/B testing and conversion tracking, our ad management is built on a foundation of analytics and continuous improvement.
Six things you actually get
Not "campaign management" — the specific structures we build and run inside your accounts.
Facebook & Instagram Ads
Broad and interest-based prospecting, catalogue and dynamic product ads, and retargeting tiers split by how far somebody got. Creative is treated as the targeting lever it now is, because the audience controls have quietly stopped being one.
Google Ads (Search, Display, Shopping)
Search built around what people type when they are ready to buy, Performance Max fed with a clean product feed and proper exclusions, plus Shopping and Display retargeting. Search terms are audited weekly, not monthly.
LinkedIn Ads for B2B
B2B campaigns targeted by job function, seniority and company size, with lead-gen forms wired straight into your CRM. Expensive per click and worth it only when a customer is worth six figures over their lifetime — we will say so if yours is not.
TikTok Ads management
Native-format creative that does not look like a repurposed billboard, spark ads on posts that already performed organically, and a testing cadence fast enough to keep up with a feed that gets bored in a week.
A/B testing & conversion optimization
A structured test schedule — one variable at a time, a defined budget and a stop rule agreed in advance. Plus landing page and offer testing, because most campaigns underperform for reasons that live after the click.
Retargeting & funnel strategies
Audience tiers built from site behaviour, video watch time and customer lists, with frequency capping and exclusion lists so you stop paying to advertise to people who already bought last week.
Where the budget goes
Every account lives under your company, with us added as a partner. Open any tool to see how we use it.
Campaigns with the numbers attached
Every claim on this page comes from one of these. Open any of them for the full challenge, solution and result.
E-Commerce Platform Migration
StyleHub's legacy platform couldn't handle peak traffic. Slow load times caused 40% cart abandonment. Their ad spend had diminishing returns with no audience segmentation.
StyleHub.pk Case study · Real EstateReal Estate Property Portal
Outdated property listing website. Agents wasted time on manual lead follow-up. No analytics on which listings performed best.
Prime Properties Case study · HealthcareHealthcare AI Chatbot System
HealthFirst was overwhelmed with patient queries. Their call center handled 500+ calls daily, with long wait times causing patient frustration.
HealthFirst ClinicsFour stages, then a weekly loop
Nothing is judged inside the learning phase, and nothing is scaled without two weeks of data behind it.
Fix measurement before spend
Conversion events, a server-side fallback, UTM discipline and a check that the numbers in the platform, in analytics and in your own records roughly agree. If they do not, we fix that first — optimising against a broken signal is worse than not optimising at all.
Attack the offer, not just the targeting
The single biggest lever is usually what you are saying, not who you are saying it to. We write three or four angles against distinct objections and price points, then build the creative to test them properly.
Launch small, structured
A deliberately simple account structure with enough budget per ad set to exit the learning phase. Learning phase is seven to fourteen days, and nothing gets judged, edited or panicked over inside it.
Scale winners, kill the rest
A weekly cadence: creative refresh, budget shifted towards what clears the target cost per acquisition, everything else stopped. Monthly, you get a report that opens with what we are scaling, cutting and testing next.
What moves the number
Management fee is flat and based on complexity. Here is what makes an account complex.
Managed programme
Strategy, build, creative direction, weekly optimisation and monthly reporting across the platforms that suit your buyer. Three months because two are spent learning and one proving.
Campaign sprint
A launch, a sale, an intake window or a seasonal push. Full setup, creative set and daily management through the window, then a written debrief you can hand to whoever runs the next one.
Audit & rebuild
Somebody has been spending for a year and nobody trusts the numbers. We audit structure, tracking, creative and search terms, then hand over a prioritised fix list with the wasted spend quantified.
Questions we get every week
The real answer is a maths problem, not a number we can print. A campaign needs roughly 30 to 50 conversion events a week per ad set to optimise properly. Work backwards: if your target cost per lead is 1,000 rupees, that ad set needs somewhere near 30,000 to 50,000 rupees a week to learn. Below that the algorithm never exits the learning phase, results swing wildly, and you end up paying for education rather than customers. If your budget is under that line we will tell you to fix conversion rate on the landing page first, or to put the money into organic and content instead.
No. We charge a flat monthly management fee based on the complexity of the account and the creative volume it needs. A percentage model quietly rewards an agency for spending more of your money, which is exactly the wrong incentive when the correct advice is often to spend less on a channel that is not working. Your media budget goes directly to the platforms on your own card, and you see every rupee of it in your own billing.
Because boosting optimises for engagement on a single post, and engagement is not revenue. There is no audience structure, no exclusion of existing customers, no retargeting tier, usually no conversion event, and no way to tell which creative earned a sale. It is the cheapest possible way to buy comments. A properly built campaign with a conversion objective and a tracked funnel routinely does five to ten times better on cost per acquisition using the same budget and often the same creative.
Week one is build and learning. Week two the first read arrives and it is usually ugly. Weeks three and four are where creative testing starts to separate winners from noise. By week eight you should have a stable cost per acquisition and know which angle and audience carries the account. Anyone reporting triumph in week one is showing you learning-phase noise, and the same numbers will be unrecognisable by week four.