Promotional Mechanics: Choosing Between TPR, BOGO, Bundle & Bonus Pack

The most common mistake in promotional planning is starting with the mechanic ("Let's do a 20% TPR") rather than the objective ("We need to acquire 500 new households this quarter"). Start from the objective and you reach for a coupon when you need trial, a multi‑buy when you need loading, and a display when you need to intercept shoppers who were not planning to buy. Start from habit and you run TPR for all four, then wonder why the trade spend never pays back.

A disciplined mechanic selection framework starts with four fundamental promotional objectives:

Trial: Getting consumers who have never bought the brand to make their first purchase. Best mechanics: sampling, coupon (reduces risk of trying), BOGOF (the "free" unit lowers trial barriers), display (intercepts non‑planners).

Loading/Stocking: Getting existing buyers to purchase more units per occasion. Best mechanics: multibuy (3‑for‑2, 3 for $10), BOGO variants, bonus packs. These force multi‑unit purchase.

Switching: Pulling volume from competitive brands. Best mechanics: TPR + display (intercepts competitor buyers in high‑traffic areas), a coupon aimed at rival‑brand buyers, competitive bundling. A plain TPR wins some switchers too, but most of its money goes to shoppers who were buying you anyway.

Loyalty/Frequency: Increasing purchase frequency among existing buyers. Best mechanics: loyalty card offers, continuity programs (buy 10 get 1 free), personalized digital offers.

The sandbox scores the same four jobs on its own numbers. At its default settings (a high‑low account, a balanced shopper base, 20 percent funded), each mechanic delivers this much of each job, indexed so the mechanic that delivers most scores 100:

Brand switching (packs won from rival brands):

• Feature + Display: 100, BOGO: 89, TPR: 58, Multi‑buy: 43, Coupon: 25, Display: 16

Pantry loading (packs stockpiled):

• BOGO: 100, Feature + Display: 81, TPR: 79, Multi‑buy: 45, Display: 12, Coupon: 9

Trial (new triers):

• Feature + Display: 100, Display: 49, BOGO: 40, Coupon: 28, TPR: 28, Multi‑buy: 17

Loyalty (extra consumption in the base you already own):

• BOGO: 100, Multi‑buy: 80, Feature + Display: 78, Coupon: 61, Display: 54, TPR: 36

Index = Units the mechanic delivers on the job / Units the best mechanic delivers on it x 100

The index says who delivers the most, and the sandbox does not crown on it. Each job has a target, and among the mechanics that reach it, the one that costs you least wins:

Best mechanic for a job = the cheapest mechanic that reaches the job's target

At the default, Feature + Display and BOGO both clear the switching target of 4,000 packs, and Feature + Display costs you less. On loyalty only Multi‑buy adds 1,000 consumption packs without loading more than 2,500 into pantries, so it wins although BOGO adds more consumption. No mechanic reaches the loading target of 6,000 here.

The indices move with the shopper base and the retailer, so read them off the sandbox for your own context. The sandbox also puts a plain TPR ahead of Multi‑buy on loading, the opposite of the usual field list above: on this pack the TPR's bigger bump stockpiles more packs, even though Multi‑buy asks each shopper for three.

A mainstream biscuit brand, on the same $4.99 pack the sandbox runs, was promoting 10 times a year, all identical 20% TPR with no display support. Average event ROI: about -73%, the number the Temporary Price Reduction card works out for exactly that event on exactly this pack, where a full‑price pack earns the brand $1.36 of its $3.46 Net Sales. New buyer acquisition from promotions: 120 households per event.

The new trade manager redesigned the calendar using the mechanic selection framework:

Events 1‑2 (Jan‑Feb): Digital coupon targeting lapsed buyers. ROI: -40%. New HH acquisition: 280 per event.
Events 3‑4 (Mar‑Apr): 2‑for-$8 multibuy. ROI: -44%. Consumption increase: +12% among participating households.
Events 5‑6 (May‑Jun): Display‑only (no price cut) at high‑traffic locations. ROI: -35%. New HH acquisition: 190 per event.
Events 7‑8 (Jul‑Sep): TPR 15% + end‑cap display. ROI: -46%. Competitive defense during summer category peak.
Events 9‑10 (Oct‑Dec): BOGOF on gift packs for holiday trial. ROI: -55% (accepted as the cost of trial). New HH acquisition: 420 per event.

Average event return moved from about -73% to about -44%, the equal‑weighted average of the five new event types, so roughly 29 points on the same total trade spend. Every one of the five still lost money, because each genuinely new pack earns the brand only $1.36, so the redesign shrank the losses and the brand was still paying for its new households. Even the display‑only events lost, unlike the sandbox's single $1,800 display. High‑traffic locations across the chain cost about $2.09 for every new pack they brought, against the $1.36 that pack earns, where the sandbox's one display at one account costs $0.64 a new pack. New buyer acquisition doubled. Nothing was added to the budget; it was pointed at the right mechanics for the right objectives. Two of the five replacements stop running a price cut with nothing behind it: the display‑only events, and the TPR that now runs with an end‑cap display. Together those two account for just under half of the 29 points. The display‑only pair is the largest single contributor at about a quarter of the whole move.

Connecting to the Pack Roles Framework and the Pack-Price Matrix: mechanic selection is one half of the decision, the other half is pack role. The brand above doubled new‑buyer acquisition by matching mechanics to objectives, but the same uplift would have been even stronger if the mechanic‑pack fit had been checked upstream. Using digital coupons to recruit new buyers (Events 1‑2) works best on Entry packs, which loyal buyers do not routinely stock. Display‑only (Events 5‑6) works on any pack, but it is wasted on Routine packs, where being seen is not what holds sales back. BOGOF on gift packs (Events 9‑10) suits In/Out packs, the limited‑time promotional packs, far better than Routine packs. The Pack‑Price Matrix sets out these pairings in one place. Choosing mechanics by objective without also checking each pack's role still costs you 10‑20 percentage points of ROI across the portfolio.

Sophisticated trade teams plan their annual promotional calendar with mechanic variety built in. Rather than running 12 identical TPR events, they sequence mechanics to serve evolving objectives throughout the year:

Q1 (post‑holiday reset): Coupon + sampling to re‑engage lapsed buyers from holiday gifting
Q2 (spring growth): Multibuy to build consumption frequency as warm weather drives category occasions
Q3 (summer peak): Display + moderate TPR to capture seasonal shoppers and maximize in‑store visibility
Q4 (holiday / competitive): BOGOF for gift‑pack trial, competitive TPR to defend against seasonal entrants

This mechanic sequencing prevents the consumer fatigue that comes from seeing the same "20% off" tag every month. It also ensures the promotional calendar is strategically coherent, each event has a defined role in the brand's annual growth plan.