AI Growth & Systems Audit
Find the leaks across ads, tracking, Shopify, creative and workflows.
Some of the data collected by this provider is for the purposes of personalization and measuring advertising effectiveness.
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Some of the data collected by this provider is for the purposes of personalization and measuring advertising effectiveness.
Some of the data collected by this provider is for the purposes of personalization and measuring advertising effectiveness.
We do not use cookies of this type.
Built for D2C founders and lean teams spending ₹2L–₹15L/month on Meta and Google Ads. We turn scattered AI tools, campaigns, tracking and workflows into one operating system that actually compounds.
Selective studio model. Senior-led strategy. Operator-supported execution. Limited active builds by design.
Find the leaks across ads, tracking, Shopify, creative and workflows.
Fix GA4, GTM, Meta Pixel, Google Ads conversions and reporting clarity.
Deploy agents for lead qualification, support, reporting and operations.
Ongoing AI growth execution across the full stack.
Submit a short application describing your brand, ad spend and primary problem.
A 30-minute call to confirm fit and clarify scope.
You receive the audit report with prioritised fixes and a sprint proposal.
Build with PKC, your team, or someone else. The roadmap is yours.
A D2C consumer brand's Meta Ads account had become inefficient — ROAS at 1.8×, CAC at ₹342, decisions made from unclear attribution signals. The rebuild addressed event tracking, audience separation, creative testing and retargeting structure. In this representative 90-day model, ROAS moved to 3.9× and CAC reduced to ₹214.
Platform-reported ROAS looked healthy at 4.6×. On audit, view-through attribution was overstating performance and duplicate events were inflating conversion reporting. The rebuild focused on attribution hygiene across Meta, GA4 and campaign-level measurement. Corrected operating ROAS: 2.3×. Misallocated spend identified and redirected.
Rising CAC despite running multiple campaigns. Root cause was audience architecture — prospecting, warm audiences and retargeting pools overlapping heavily. The rebuild structured the funnel into clear campaign layers with proper exclusions. 68% overlap identified. After restructuring, CAC model improved by 34% over 60 days.
Most engagements move through the same three stages — diagnose what's broken, build the highest-priority system, then optimise as it compounds.
Built for founders who need execution clarity, not another vague marketing deck.
PKC connects strategy, ads, content, tracking, website updates and follow-up systems into one operating rhythm.
The focus is not just running campaigns. The focus is fixing the full path from offer to page to tracking to conversion.
PKC helps create the first serious version of the growth system before founders over-hire or overspend.
Content, shoots, influencers, ad creatives and campaign calendars are treated as one production system.
AI is used to speed up ideation, workflows, content planning, creative production and execution — not as a gimmick.
Before scaling spend, PKC checks the basics: offer clarity, page readiness, tracking, event quality and follow-up flow.

I'm Preeti Kaushal — I've spent the last decade running performance marketing for D2C brands, and the last two years rebuilding that practice on top of AI.
₹47 Cr+ in ad spend managed across skincare, apparel and wellness categories. I don't run an agency. I work hands-on with a small number of brands at a time and own the outcome — now across creative, automation, agents, tracking and the operating systems that make them compound.

I'm Preeti Kaushal — I've spent the last decade running performance marketing for D2C brands, and the last two years rebuilding that practice on top of AI.
₹47 Cr+ in ad spend managed across skincare, apparel and wellness categories. I don't run an agency. I work hands-on with a small number of brands at a time and own the outcome — now across creative, automation, agents, tracking and the operating systems that make them compound.
One diagnostic engagement. Honest read of your stack. A prioritised roadmap you own — whether you build with us, your team, or someone else.