Case Study
A simplified case study from a six-person team: what they posted, which keywords they used, and how DMs fed their Shopify drop without a custom dev build.
April 20, 2026 · 2 min read · Liffio Team
The brand sells limited-run streetwear drops on Shopify. Instagram Reels drive waitlist hype, but the team was manually DMing links after each drop teaser. On the last drop, two people handled inbox for nine hours and still missed several hundred comments.
They did not need a complex chatbot. They needed every COMMENT that said DROP to receive the early access link within a minute, while the founders slept before launch morning.
Three Reels in one week. Each ended with the same instruction: comment DROP for the secret cart link.
They pinned their own comment repeating the keyword and showing an example.
Stories pointed back to the latest Reel instead of introducing a second keyword, which kept reporting simple.
One comment automation per Reel, all using the DROP keyword, same DM body, 30 second delay.
Public reply: "Sent to your DMs. Check requests if you do not see it."
DM copy: "Early access cart for the drop: [shop link]. Password EARLY works until 10am IST. Reply SIZE if you need the fit guide."
A follow-up automation fired only on paid plans when someone replied SIZE, sending a size chart image and link to returns policy.
Roughly 4,200 trigger comments across the three Reels.
About 3,100 unique DM conversations started by automation.
Shopify reported 680 orders tagged with the early access UTM in the DM link within 48 hours.
The team still answered about 90 manual threads about shipping to non-serviceable pincodes. Automation did not remove support; it removed copy-paste.
They would cap the follow-up SIZE bot to one message instead of two, because a few customers felt nagged.
They would publish the keyword in the Reel caption text, not only spoken audio, after seeing misspellings like DORP.
They would pause the automation two hours after sellout to avoid sending dead links.
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