The campaign drove more than 1,00,000 website visitors from a standing start, converted at 1.2 percent, and produced ₹2,00,000 of revenue on ₹50,000 of spend, a 4X return as reported by the client. It also moved the brand off Instagram DM selling onto consistent website orders.

Yes, but the first weeks work differently. With no pixel history the algorithm has nothing to optimise against, so creative and audience definition carry the whole load. Expect the first phase to be an investment in learning, and structure it so every impression leaves behind a reusable audience pool.

Because a shopper is not buying an object, she is buying how she will look wearing it. A piece on a white background asks her to imagine that herself, in half a second, while scrolling. A styled photo does the imagining for her. In a visual category this is usually the single highest-leverage change available.

You upload your product catalog once, and Meta assembles an ad showing each person the specific items they viewed. Showing someone the exact necklace she looked at yesterday is a fundamentally different message from a generic brand ad, and it converts at a different rate for the same money.

For a fashion brand driving cold and warm traffic to a website, yes, it is a healthy number. Conversion rate is only meaningful alongside traffic quality though. A 4 percent rate on a tiny pool of existing customers is easier and less valuable than 1.2 percent on a hundred thousand new visitors.

Because DMs do not scale and they leave no data behind. A website order can be tracked, attributed, recovered when abandoned, and upsold. A DM order requires a person and disappears the moment the conversation ends. The move to a website is what makes every later optimisation possible.

Rarely. A discount shown to someone who has never heard of the brand teaches them the brand is cheap before it teaches them the brand is good. Keep offers for hot audiences who have already browsed, where the discount removes the last hesitation rather than forming the first impression.

Enough to hold a steady daily amount for two to three weeks so the platform can learn, plus enough set aside for creative. This campaign ran on ₹50,000, but the constraint that mattered was creative volume, not the total. A larger budget with one tired video performs worse than a smaller one with four fresh ones.

For Fashka it was about five weeks from no ad account to a running funnel, with the photoshoot taking most of it. The cold stage has to run first and fill the warm and hot pools before retargeting is worth switching on, so a funnel does not reach full efficiency in its first fortnight.

Performance decays and cost per purchase climbs, usually first in the cold stage where frequency builds fastest. The system is built so a refresh means shooting new frames, not rebuilding the account. We monitor frequency and cost per purchase together so the refresh happens before the decline shows up in revenue.

Purchases are tracked through both the browser pixel and server side forwarding, deduplicated, and attributed to campaign, ad set and creative. Where a figure comes from the client's own reporting rather than the platform, we say so, and we do not mix the two into a single derived number.

Because we build the whole store, not just the ads. On this engagement we shot the creative, structured the catalog, wired the tracking, built the funnel and left behind audience assets the brand now owns. Talk to a KoderXpert consultant and we will map your funnel before quoting anything. You can also see what our digital marketing and SEO services cover.