Pet Food Trends: Reading the Category Honestly

Pet food trends are easy to find and hard to use. The category is one of the most consistently growing in packaged goods and one of the most crowded with trend commentary, and that commentary is broadly right about direction and nearly useless about magnitude, because most of it does not separate demand growth from shelf growth.

This is what is actually moving in the category, where to get numbers you can put in front of a buyer, and how to test any of it against your own sales.

Key takeaways

• Premiumization is real and price-driven as much as mix-driven. Separate the two before claiming trade-up.
• Fresh and frozen grew from a small base with heavy distribution expansion. Check items per store before reading demand into it.
• The channel shift out of pet specialty into mass, grocery, and ecommerce changes which data source sees your category.
• Price increases have carried a large share of recent dollar growth. Dollar growth without unit growth is inflation, not demand.

Where to get defensible numbers

Circana and NIQ publish category dollar and unit sales with stated market coverage. The American Pet Products Association publishes annual industry spending estimates. USDA and BLS carry input-cost and price-index series that explain a good deal of recent dollar movement. SPINS covers the natural and specialty channel where most premium entries begin.

The BLS series is the one most often skipped and the most clarifying. Pet food carries its own price index, and a category showing strong dollar growth against flat units during a period of double-digit price inflation is not a category trading up. It is a category repricing, and those call for opposite responses.

Pet food trends worth separating

The fourth row deserves emphasis because it is a measurement blind spot rather than a trend. A meaningful share of pet food volume moves through ecommerce and subscription, and syndicated store-level data does not see it. A brand reading only brick-and-mortar syndicated data can watch its category go flat while the category is growing, because the growth left the stores the report covers.

The first row has a name the category uses constantly, and it is worth attaching to the row: pet humanization, or the humanization of pets, meaning owners buying for a dog or cat on roughly the terms they buy for themselves. That is the demand story under fresh and refrigerated formats, short ingredient panels, human-grade claims, and the existence of a premium tier at several dollars per pound in a category where large-bag price per pound used to be the whole conversation.

The half of that term you can measure is the half that reaches a register: which tier gets bought, at what price per pound, how often, and whether the buyer comes back. The other half, whether an owner regards the pet as a family member, is an attitudinal claim that needs a survey or a panel with demographics behind it. Store-level POS reads transactions, not people, so a deck arguing humanization from scan data alone is arguing past its evidence. Run the tier decomposition below and let the buying carry the claim.

Testing premiumization in your own data

The decomposition takes an hour and settles most arguments.

• Bucket every item in the category by price per pound into three or four tiers. Use equivalized pricing, since bag sizes vary enormously.
• Compute unit share by tier for this year and last, in the same stores.
• If unit share shifted toward higher tiers, that is genuine trade-up. If unit share held and dollars rose, that is price.
• Then check distribution: did the premium tier gain items per store? If so, part of the shift is shelf allocation rather than shopper choice.

A worked read. A dry dog food brand saw category dollars up 9 percent and read it as premiumization. Unit share by price tier was flat across all four tiers; average price per pound was up 8.4 percent; and total units were up 0.6 percent. Almost all of the dollar growth was price. Their planned premium line extension was built on a trend that had not happened, and the same data showed the actual opening was a value-tier gap the retailer had opened by cutting two opening-price-point items.

What the category structure means for a brand

Three structural facts shape most entry decisions here.

• Bag size fragmentation makes equivalized pricing mandatory. Comparing a 4 lb to a 24 lb on shelf price is meaningless, and price-per-pound is how both shoppers and buyers evaluate the set.
• Repeat is unusually strong once a pet tolerates a food, which makes trial expensive and retention cheap. That inverts the usual promotional logic: a deep one-time trial offer can be worth more here than in most categories.
• Shelf space is allocated by tier and by life stage, so your competitive set is narrower than the category. Read velocity against the items in your tier and format, not against the category median.

How Scout fits

Scout holds equivalized price, tier, and distribution alongside store-level velocity, which is what the premiumization decomposition above requires and what most brands rebuild by hand each quarter. Because distribution is a separate dimension rather than baked into a total, a tier that grew on facings shows up as facings.

Related: SPINS for pet brands and equivalized volume.