Trial is a household's first purchase of a brand or product. It is the moment a shopper moves from never having bought to having bought once, and it is what grows household penetration. In TrueLoyal's vocabulary trial is the first buy and retrial is every buy after it.
Every brand's volume comes from two things, which are how many households buy and how much each of those households buys. Trial feeds the first of those. Each new household that buys once adds to household penetration, and penetration is the number most category and retail teams look at first when they ask whether a brand is growing.
Brands drive trial through a familiar set of tools. Sampling, coupons, temporary price reductions, displays, new item launches, shopper marketing, and retail media are all built mainly to get a product into a basket for the first time.
Trial is usually measured through household panel data from Circana or Nielsen, which estimates the share of households that bought at least once in a period. POS data shows that units moved, but it cannot tell a first purchase from a fifth, because it does not know who bought.
A brand with low penetration has a trial problem. Not enough households have ever bought the product, so the job is to reach new shoppers and give them a reason to put it in the cart. That is a very different job from the one facing a brand that has plenty of first-time buyers who never come back, which is a retrial problem.
Knowing which problem you have changes where the money goes. Spending on trial when the real issue is retrial fills a leaky bucket, because each new buyer costs money to acquire and then disappears. Spending on retention when the real issue is trial means working hard on a buyer base that is too small to move the business.
Retailers care about trial too. A line review often asks whether a brand is bringing new households into the category or just moving existing ones around, and evidence of real trial helps a brand defend its facings.
A snack brand launches a new item at a grocery chain with a sampling program and an introductory price. Panel data shows household penetration rising over the first three months, which tells the brand the launch is generating trial. The brand will need later reads to see whether that trial turns into retrial.
Counting trial as growth before retrial shows up. A strong launch can produce a spike in first purchases that looks like momentum in the sales figures, but if those households do not come back the volume fades once the promotion ends. Trial only becomes growth when enough of those first-time buyers buy again.
Where TrueLoyal fits: With receipt scanning, a member scans a receipt from any store and the brand sees who bought, where, and what. That lets a brand follow its opted-in members from a first purchase to the ones after it, keeping in mind that members skew toward the brand's most engaged buyers.
Trial is a household's first purchase of a product. Retrial is every purchase that household makes after that first one. Trial grows household penetration, while retrial grows buying rate.
Most brands measure it with household panel data from providers like Circana or Nielsen, which estimates how many households bought at least once in a period. Panel data is an estimate built from a sample, so brands should read it as a directional estimate.
It means too few households have ever bought the product. The brand's priority is reaching new shoppers and giving them a reason to buy for the first time.
Yes, in the short term it usually adds volume. Over time the sales only hold if a meaningful share of those first-time buyers come back, which is why trial and retrial have to be read together.
Retrial is every purchase a household makes of a brand after its first one. Many teams call it repeat purchase, and it is usually discussed together with trial as trial and retrial. Retrial drives buying rate, which is how much each buying household purchases over a period.
Household penetration is the percentage of households in a market that bought a brand at least once in a given period. It answers how many people are buying rather than how much they are buying.
Buying rate is how much each buying household purchases of a brand or category over a set period, usually a year. It is measured in units, dollars, or purchase occasions per buying household. Together with household penetration it explains where a brand's volume comes from, because penetration times buying rate equals volume.
Incremental volume is the sales a brand gained because of something it did, beyond what it would have sold anyway. It is the part of a promotion's or program's volume that would not have happened without it. The question behind it is incrementality, which asks whether a sale was caused by the brand's action or would have happened regardless.
Shopper marketing is the marketing a brand does to influence people at or near the point of purchase, inside a retailer's store or on its website. It covers in-store displays, retailer circulars, digital coupons, sampling, and the media a retailer sells against its own shopper audience. It is usually planned jointly with the retailer and paid for out of trade or shopper budgets.
Syndicated data is market data that a research company collects once and sells to many subscribers. In consumer goods it usually means retail sales data and household panel data from providers such as Nielsen and Circana. It is the shared source of truth that brands, retailers, and brokers use when they talk about category performance.
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