Festive sale conversion checklist for Indian D2C brands
3 min read · updated
Before a festive sale, freeze your theme and apps a week ahead, load test the pages that will get the traffic, make the offer and its end time impossible to misread, and put a delivery cut off date on every product page. During the sale, do not start new experiments: traffic is unusual, visitors behave unusually, and any result you read will not hold in January. Use the sale to collect data, then test afterwards.
What should be frozen before the sale?
Everything that can break. Stop theme edits and app installs at least a week before the sale starts, so whatever is live has been through a normal week of real traffic. A new app or theme tweak pushed on the morning of the sale is the most common cause of a broken add to cart button at the worst possible time.
Write down who can change what during the sale and how a change is rolled back. If a tool on the site can act on its own, lower its autonomy or switch it off for the sale window.
Which pages need testing under load?
The homepage, the sale collection, the top ten products by expected traffic, the cart and the checkout. Open each on a mid range Android phone over mobile data at the busiest hour you can simulate, and time how long it takes to see the price and the add to cart button. Then do it again with the sale banner and countdown in place, because those often add weight.
- Sale collection and top products load quickly on a mid range phone
- Discount shows correctly in the cart and at checkout
- Coupon codes work once and fail clearly when expired
- Out of stock variants are hidden or marked, not selectable
How should the offer be presented?
One offer, stated once, in plain words, with an end date and time in IST. Stacked offers with conditions in small print cause more abandoned carts than they win, because shoppers discover the condition at checkout and leave. If the offer depends on payment method or order value, show that on the product page.
Only use a countdown that is real. A timer that resets on every visit is noticed, screenshotted and shared, and the trust it costs lasts longer than the sale.
Why not run A/B tests during the sale?
Sale traffic is a different population. More first time visitors, more deal seekers, more mobile, more impatience. A change that wins during the sale may lose in January, and a change that loses may simply be one that suits regular shoppers. Results read during a sale are mostly about the sale.
If an always on tool is running experiments, pause new ones for the sale window and let existing winners stay. IntellQ's autonomy levels and kill switch exist for exactly this: drop to observe only for the week, then return to normal once traffic settles.
What should you do with the data afterwards?
Read it for questions, not answers. Which products drew traffic but few orders, which pages had the most exits, what did people ask in chat. Those are the hypotheses for the tests you run in the quiet weeks after the sale, when traffic is normal and results mean something.
Also check delivery. Late festive orders turn into refusals and returns weeks later, and the cost lands after the celebration dashboard has been shared.
Who should own what on sale day?
Name one person for each of four jobs: watching orders and payments, watching site speed and errors, answering chat and WhatsApp, and deciding on any change. Most sale day damage comes from two people fixing the same problem in different ways, or from nobody noticing that the payment gateway has started failing.
Agree in advance what counts as an emergency. A broken add to cart button is. A banner that could look better is not, and can wait until the sale is over.
- One owner for orders and payments
- One owner for speed and errors
- One owner for chat and WhatsApp
- One person who approves any change
Questions
When should I stop changing the site before Diwali?
Freeze theme edits and app installs at least a week before the sale starts, so the live site has been through a normal week of traffic before the peak.
Are countdown timers a good idea?
Only if they are real and the same for everyone. A timer that resets per visit is quickly noticed and costs trust that outlasts the sale.
Should experiments keep running during a sale?
Pause new ones. Sale traffic behaves differently, so results read during the sale rarely hold afterwards. Keep proven winners live and test again once traffic settles.