E-commerce marketing measured in return on ad spend — not traffic and add-to-carts.
Traffic is not the product. Profitable orders are. We build the system behind the campaign — the store, the tracking, the creative testing and the retention flows that turn ad spend into contribution margin.
01Intent traffic inGoogle Shopping · Meta · category & intent signals10,000 sessions02AI scores every audienceBasket value, category affinity and purchase intent340 add-to-cart03Abandoned cart recoveryWhatsApp and email flows within the hour0 carts lost04Server-side trackingClean conversion data back into Meta and GoogleNo signal lost05Retention on autopilotRepeat purchase flows, winback, loyalty90 repeat orders06Order → contribution marginEvery order attributed back to the campaign3X ROAS
3-5XReturn on ad spend
18 monthsSustained, not a peak month
0Pixel history at launch
ShopifyStore, site and acquisition
A D2C brand lives or dies on what it costs to acquire a paying customer. Everything else — the reach, the impressions, the engagement — is a proxy. We have built and scaled Shopify stores from zero pixel history for Wallchitra, Studio Vaidik and Hiranya.
The Real Problem
You do not have a traffic problem. You have a margin problem.
Six patterns we see in almost every D2C account we audit. Pick the one that sounds like your month.
What this looks like
Sessions are up. Orders are flat. And nobody can name the campaign that produced the last profitable month.
What it is costing you
Your closers spend most of the week on people who were never going to buy — and the ones who were, get called last.
How Avikosh fixes it
AI scores audiences on basket value and purchase intent, so spend follows the customers who actually buy.
Intent-led targeting
Budget filtering
Basket-value scoring
Verified numbers
What this looks like
A premium product is being marketed to a discount audience, because the targeting was never built around basket value.
What it is costing you
The units that carry your margin sit unsold while the cheapest ones do all the work of the launch.
How Avikosh fixes it
Premium-intent campaigns built around basket value, category affinity and repeat-purchase potential.
HNI segments
Investor campaigns
Premium creative
Search intent
What this looks like
Carts are abandoned at midnight and recovered three days later — by then they have bought from someone else.
What it is costing you
A cart recovered on day three is usually already a competitor’s order.
How Avikosh fixes it
WhatsApp replies within the hour, then the flow chases the cart until it converts or expires.
60-second reply
Auto reminders
Audience scoring
Owner assignment
What this looks like
A third of the numbers never connect, and the ones that do have no memory of filling in a form.
What it is costing you
You pay for the click, the shipping and the return — on an order that was never profitable.
How Avikosh fixes it
Intent-based campaigns with server-side tracking and optimisation on real purchase events.
Intent campaigns
Number verification
Form logic
Fraud filtering
What this looks like
The same three creatives have run for four months, the audience has seen them a dozen times, and the cost per acquisition reflects both.
What it is costing you
Creative fatigue and audience overlap quietly raise your cost until the project stops being viable.
How Avikosh fixes it
Continuous creative testing, audience de-duplication and AI bid optimisation on live data.
Creative testing
Audience dedup
Bid optimisation
Faster landing pages
What this looks like
Reporting stops at ROAS, so budget keeps moving toward the cheapest clicks instead of the SKUs that actually make margin.
What it is costing you
Budget decisions get made on session counts instead of margin, so money keeps flowing to cheap clicks.
How Avikosh fixes it
Attribution from ad click to order to contribution margin, on a dashboard you can open at any hour.
Every problem above has a defined set of moves behind it. Here is what we run, and the outcome we are held to for each one.
01
ResultBuyers who match your basket value
Ticket-size-led buyer targeting
Audiences, creative and search intent built around what your inventory actually costs, not around reach.
AI audience targeting
HNI & investor segments
Premium creative direction
Google Search intent
Qualification at source
FixesAds bringing ₹20 lakh buyers to ₹1 crore inventory
02
ResultYour team calls only real buyers
Optimisation on purchase, not clicks
Every conversion event verified server-side before it reaches Meta or Google, so the algorithm learns from buyers rather than browsers.
AI qualification
WhatsApp verification
Call verification
Budget filtering
Investment-intent filtering
FixesSpend optimised toward clicks that never convert
03
ResultFull-price sales without discounting
Collection launches and category demand
A fresh launch narrative plus category-level targeting and remarketing aimed at the SKUs that are not moving.
Launch strategy
Category campaigns
Google Ads
Retargeting
Remarketing pools
FixesCollections sitting unsold after launch
04
ResultLower CAC at the same volume
Continuous creative and bid optimisation
New creative tested every week, audiences de-duplicated, bids optimised on qualified conversions rather than clicks.
Creative testing at volume
AI bid optimisation
Audience de-duplication
Faster landing pages
FixesCustomer acquisition cost climbing every quarter
05
ResultEvery cart recovered, none dropped
Follow-up that never forgets
A 60-second first response on WhatsApp, then scored routing and automated reminders until there is an outcome.
AI CRM
WhatsApp automation
Audience scoring
Auto reminders
FixesCarts abandoned with no follow-up
06
ResultA shorter trust cycle
Trust assets that shorten the decision
The proof a buyer looks for before a first order — reviews, UGC and guarantees, built once and used across every campaign.
Brand films
Case studies
Customer reviews
PR & coverage
Consistent social
FixesBuyers not trusting an unfamiliar brand
Not sure which one is costing you the most?
Send us your ad account and the last three months of store data. We will tell you which of these six is leaking the most margin, and what it would take to close it.
No bundled retainer. Each one has a defined scope, a number we are measured on and a page you can read before you commit. We run these accounts for Shopify and D2C brands including Wallchitra, Studio Vaidik and Hiranya — store, site and acquisition together rather than split across vendors.
Meta Ads for D2C
Profitable orders from Facebook and Instagram, built on creative testing at volume rather than a boosted post.
Every category has a different buyer and a different ad.
A ₹600 impulse buy and a ₹60,000 considered purchase need opposite campaigns. These are the categories we plan for separately.
Fashion & apparelCollections, sizing, returns
Home & decorMade-to-measure and high-consideration
Jewellery & luxuryHigh basket value, trust-led
Beauty & wellnessSubscription and replenishment
Spiritual & nicheCategories not yet shopping online
Food & beverageRepeat purchase and shelf life
Mass-market SKUsVolume-led, CAC discipline
Marketplace sellersAmazon and Flipkart alongside D2C
Subscription boxesChurn and lifetime value
New store launchesZero pixel history, built from scratch
Technology Stack
The systems we run behind your pipeline.
Enterprise tooling, configured for e-commerce purchase cycles — and handed over documented, in accounts you own.
Advertising
Meta AdsGoogle AdsLinkedIn AdsYouTube Ads
CRM
HubSpotZoho CRMLeadSquared
Automation
n8nMakeWhatsApp Business API
Analytics
GA4Looker StudioMeta PixelConversion API
AI
OpenAIClaudeGeminiElevenLabsHeyGen
Design
FigmaCanvaAdobe Creative Cloud
Why Avikosh
Why D2C brands stay with us.
Six reasons Shopify and D2C founders keep the account with Avikosh rather than rotating agencies every year.
AI-First Marketing
AI is used where it changes the number — scoring audiences, generating creative variants at volume, and turning product data into campaign structure.
Premium Positioning
Targeting built around basket value and purchase intent, so premium brands scale without resorting to discount-led advertising.
Complete Automation
Cart recovery, post-purchase, winback and loyalty run as one connected system across WhatsApp, email and SMS.
Performance Focused
We report on return on ad spend, customer acquisition cost and contribution margin. Sessions and reach are diagnostics, not the deliverable.
Transparent Reporting
Live Looker Studio dashboards on your own accounts. You see the same numbers we do, at any hour, without asking for a report.
Industry Expertise
Shopify stores across fashion, home, spiritual and lifestyle categories — several built from zero pixel history and scaled to profitable repeat revenue.
Proof
Results from this sector.
Live accounts, real numbers, and the specific change that produced them.
HY
Hiranya
Challenge
A premium slow-fashion label launching paid acquisition from zero pixel history without discounting.
Solution
Creative testing at volume, premium-intent audiences and retention flows built alongside acquisition.
By optimising for the purchase, not the click. Server-side tracking sends clean conversion data back to Meta and Google so the algorithms optimise toward buyers rather than browsers. Abandoned carts trigger WhatsApp within the hour, because a cart recovered on day three is usually already a competitor’s order.
Both, and that is the point. Splitting the store, the tracking and the acquisition across three vendors is why most D2C accounts leak. We build the Shopify store, wire the tracking and run the ads together — that is how Wallchitra launched and held 3X ROAS from month one.
It depends on basket value, margin and repeat rate. What matters more is that the spend follows contribution margin — server-side tracking wired to real purchase events, so budget moves toward the SKUs that make money instead of the ones that make noise.
We run accounts across Delhi NCR, Gorakhpur, Kushinagar, Lucknow and pan-India requirements. Tier-2 and tier-3 markets are a different discipline from metros and we plan them separately.
Yes. Campaigns run inside your Google, Meta and CRM accounts with Avikosh as an authorised user. Dashboards, automations and documentation stay with you if the engagement ends.
Orders usually start within the first two weeks of launch. The meaningful signal — a stable cost per acquisition and a predictable return on ad spend — typically takes six to ten weeks, because the platforms need enough purchase data to learn from.
Free Consultation
Let us look at your numbers before you spend another rupee.
A 30-minute working session for D2C founders and e-commerce managers. We review your ad account, store, tracking setup and retention flows, then show you exactly where the margin is leaking.
No obligation, no pitch deckAccount audit includedResponse within one working day
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We’ll map the right channel mix for your category, give you a realistic budget and an expected return on ad spend, and show you what tracking and retention needs to exist before day one. No ad account required.
