Menu Intelligence
LTO Analysis: What Your Limited-Time Offer Actually Added
“Our LTO sold well. But did it grow the business, or did it just cannibalize the core menu?”
An LTO's own sales number is the least informative fact about it. The questions that decide whether it worked are comparative: how much of its volume came out of the core menu it sat next to, whether it brought in customers who would not have visited otherwise, what it did to check sizes, and whether anything it built survived after it left the menu. Quantiiv answers each one from transaction data, separating the LTO's genuine contribution from the sales it merely relabeled.
The same analysis powers the decision every strong LTO eventually forces: promote it to the permanent menu, bring it back seasonally, or retire it. That decision should rest on incrementality and customer behavior, not the raw sales figure, because the raw figure flatters almost every LTO ever run.
Sound Familiar?
The launch recap counts sales, not incrementality
The LTO did $X in revenue is the headline in every recap deck, and it says nothing about where that revenue came from. If most of it traded out of adjacent core items, the promotion mostly reshuffled the menu at a higher cost of goods.
Nobody knows who bought it
An LTO that recruited new and lapsed customers is a growth lever worth repeating. One bought almost entirely by existing regulars swapping out their usual order is a different, much less valuable thing. Without customer-level analysis the two look identical.
The keep-or-kill decision arrives with no evidence
When the LTO window ends, someone has to decide whether it earns a permanent slot. That conversation usually runs on anecdote and the flattering sales number, which is how menus accumulate items that never justified their place.
How Quantiiv Answers It
- 1
Measure incrementality against a clean baseline
LTO-period performance is weighed against a fair picture of what the business would have done without the offer, so the lift credited to the LTO is what actually exceeded business as usual rather than the sales that were coming anyway.
- 2
Quantify cannibalization item by item
Basket and substitution analysis shows which core items lost volume while the LTO ran, and how much. The LTO's net contribution is its sales minus what it took from the menu around it.
- 3
Identify who bought it
Where customer identity is available, buyers split into new, lapsed, and existing customers, and existing buyers split into those who added the LTO versus those who swapped into it. This is the difference between recruitment and reshuffling.
- 4
Track trial, repeat, and what lingers
Strong LTOs show repeat purchase within the window and leave something behind: recruited customers who keep visiting, or category interest that persists. Both effects are measurable in the months after the offer ends.
- 5
Deliver the keep, repeat, or retire verdict
The readout ends in a recommendation with its evidence: net incremental sales, cannibalization cost, customer recruitment, and repeat behavior, framed against what a permanent slot on the menu would need to earn.
Why Quantiiv
Net contribution, not gross sales
Every LTO read is stated net of cannibalization and against a real baseline, which is frequently half or less of the number in the launch recap, and is the number the decision should use.
Customer-level recruitment measured directly
Because analysis reaches identifiable customers, the LTO's recruiting power, the thing most brands run LTOs for, is measured rather than assumed.
Frequently Asked Questions
How do you measure LTO cannibalization?
Compare core-item sales during the LTO window against their expected path from pre-period trend and comparable stores or periods without the offer, then confirm with basket-level substitution: which items disappeared from baskets where the LTO appeared. The volume core items lost below expectation is the cannibalization cost to net against the LTO's sales.
What makes an LTO successful?
Net incremental contribution and what it leaves behind. A successful LTO adds sales beyond what it takes from the core menu, brings in customers who were not already visiting, or builds repeat behavior that outlasts the window. An LTO can sell out completely and still fail all three tests.
When should an LTO become a permanent menu item?
When its measured performance clears the bar a permanent item must meet: sustained demand beyond novelty, net-positive contribution after cannibalization, and a role in baskets or customer routines the existing menu does not already fill. Seasonal re-runs are often the better call for items with strong but time-bound appeal.
Can you measure LTO performance without a loyalty program?
The incrementality and cannibalization reads come from transaction data alone, so yes. Customer recruitment analysis is deeper where loyalty or digital-order identity exists, and any customer-level finding is reported with the share of sales it actually covers, so the evidence base is always explicit.
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Read moreStop Fighting Your Data.
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