Subscription depth is defined as the size of the discount a brand attaches to a recurring order, which indicates how hard it is finding repeat purchase. It is the first thing to read when you research competitors in food and beverage, because a consumable business is decided by the second order rather than the first. Around 70% of carts are abandoned across ecommerce, and in consumables the sharpest hesitation is committing to a quantity of something untasted [Baymard Institute, 2025]. This guide covers five publicly observable repeat-purchase signals and what each one reveals.
- Read repeat-purchase signals first, because consumables are decided by the second order.
- Treat a deep subscription discount as evidence that retention is being bought.
- Map bundle architecture, since bundles name the products a brand trusts for retention.
- Compare variants against six months ago to see which experiments failed.
- Use reviews per month per product as an order-velocity proxy within one brand.
- Check retail distribution, as wholesale presence changes a competitor economics.
- Read the ad library for which claims and occasions a brand pays to promote.
Omniconvert has measured store performance across the CROBenchmark dataset of 7,000+ websites in 15+ industries, against 248+ audit criteria, over 13 years in eCommerce [CROBenchmark Report 2026, Omniconvert]. In consumables the diagnostic signals cluster around retention rather than acquisition, which is the opposite of where most competitor research spends its time.
How to research competitors in food and beverage: start at the second order
The habit carried over from other categories is to start with ads, because ads are visible and interesting. In food and drink that is the least informative place to begin, since a brand can run excellent acquisition and still be failing, and failing quietly, because every cohort buys once and leaves.
What is observable instead is how hard the brand is working to make somebody order again. That shows up in four places on the website and one off it, all public, none of them requiring a tool.
The general method across verticals is in the DTC competitor research stack, and the apparel version, where the signals are drop cadence and markdown timing instead, is how to research competitors in fashion.
The Repeat-Rate Tells, in order
The first is subscription depth, and it is the most direct. Record the discount, the minimum commitment, the cancellation terms and whether the saving is framed per order or per unit. A brand whose product sells itself twice does not need to pay much for the second order, so a deep standing discount is a confession.
The second is bundle architecture. Which products appear together, at what price per unit, and which one is positioned as the anchor. Bundles are a brand own statement about which items it believes create a habit, and they are usually built from retention data you do not have and can therefore read for free.
The third is variant churn. Compare the flavours or formats on sale now against the same pages six months ago, using an archive. A brand quietly retiring several variants a year is running a high failure rate, and the survivors are the revenue.
The fourth is review cadence, which is the best public velocity proxy in this category. Count reviews arriving per month per product rather than total reviews, and track it. Within a single brand that rate moves with order volume, so it shows which products are accelerating and which are fading. Pricing and offer analysis sits alongside it in how to analyse a competitor pricing and offers.
The fifth is retail distribution, and it reframes everything above. A brand stocked in supermarkets is running a different business: its direct site may be a shop window, its pricing is anchored by retail, and its real dependence on repeat direct orders may be slight.
| Signal | What it reveals | Where to read it |
|---|---|---|
| Subscription depth | How hard repeat purchase is | Product page offer box |
| Bundle architecture | Which products build habit | Collection and bundle pages |
| Variant churn | Which experiments failed | Archived category pages |
| Review cadence | Order velocity by product | Review dates per product |
| Retail distribution | Whether direct is the real channel | Stockist page, retailer sites |
| Ad claims and occasions | Which positioning is funded | The public ad library |
What the creative adds, once the retention picture exists
Run the brand through the Meta Ad Library and read two things. Which occasion the creative is built around, since in food and drink the occasion is usually the positioning. And how long each creative has been running, because longevity is the closest public proxy for something working.
In this category the occasion split is unusually revealing. A brand advertising breakfast and a brand advertising post-workout are selling comparable products into different habits, and habit is what determines whether the second order happens. The method for reading creative survival is in how to find which competitor ads are actually working.
Unexpected cost has been the most frequently cited reason shoppers abandon a purchase for as long as Baymard Institute has measured it, at around 70% average cart abandonment [Baymard Institute, 2025], and in consumables the equivalent friction is a minimum order quantity of something the shopper has never tasted. Note how each competitor handles that: a trial size, a single unit, or a reluctant case of twelve.
The way food and drink teams get this wrong is by benchmarking against the loudest brand in the category. Somebody picks the competitor with the best creative and the most visible media presence, builds a quarterly tracker around them, and sets internal targets off that comparison. What the tracker never captures is that the chosen brand is stocked in three supermarket chains, so its direct site is a brand asset rather than a business, and its willingness to run thin direct margins makes no sense to copy. Two quarters of roadmap get spent matching a competitor whose economics are not available to you.
Turning the read into something you can act on
Build the grid before drawing conclusions: three competitors down the side, five signals across the top. Fill it from public sources only and date the sheet, because every cell goes stale and an undated competitor sheet gets quoted for years.
Then look for the column where everybody is weak rather than the cell where you are behind. If none of the three publishes a trial size, that is an opening. If all three are discounting subscriptions heavily, the category has a retention problem and the brand that solves it with product rather than price takes the market.
Shopify merchant guidance has pushed structured subscription and product data across sales channels for years, which is part of why these signals are readable from outside at all [Shopify, 2026]. The quarterly rhythm for this work is in how to run a quarterly competitor audit.
AliveCor used Omniconvert to run a structured A/B testing programme and achieved +21% conversion rate, +5% revenue per visitor, and 94% statistical relevance across their experiments. [Omniconvert, AliveCor case study] That is a testing result from another category, and the transferable discipline is to treat a competitor finding as a hypothesis rather than a decision: run the trial size as a test before you rebuild the range around it.
What to do this week
- Compare subscription terms. Three competitors, side by side. Discount, commitment, cancellation.
- Pull the archived category page. Six months back. List the variants that disappeared.
- Count reviews per month per product. On their three best sellers and yours.
- Check the stockist pages. Then decide which competitors are actually comparable.
Where your own store sits across all six scored dimensions, including AI visibility and agentic commerce readiness, is what the free eCommerceBenchmark.ai leaderboard entry gives you, and the paid audit report adds the competitor synthesis against named brands in your category and country. Once you know which gap matters, Omniconvert Commander (formerly Nexus) is an AI for eCommerce growth engine that unifies commerce data, prioritises experiments by True Profit, and generates campaigns and creative you approve before they go live, and Omniconvert Explore is the CRO platform for running the test itself. The weekly signal set is in 5 competitor signals worth tracking weekly.
Frequently asked questions
How do you research competitors in food and beverage?
Read the repeat-purchase signals rather than the acquisition ones. Subscription discount depth, bundle architecture, variant churn, review cadence and retail distribution are all publicly observable, and together they tell you whether a competitor second order is working. In a consumable category that is the number that decides the business.
Why does subscription discount depth matter?
Because it prices the brand own confidence in repeat purchase. A product people reorder without prompting does not need a deep standing discount, so an unusually generous subscription offer usually means retention is being bought. That is a weakness you can read from the product page.
What does flavour churn tell you?
Which experiments failed. Compare the variants on sale now against six months ago using archived pages. A brand that quietly retires three flavours a year is running a high failure rate, and the ones that survive every cull are the ones carrying its revenue.
Can review counts substitute for sales data?
As a velocity proxy, better than most alternatives. Reviews arriving per month per product correlate with order volume within a single brand, so tracking the rate over time shows which products are accelerating. It will not give you absolute revenue, and it is more reliable than a third-party revenue estimate.
Why does retail distribution change the picture?
Because a brand with wholesale presence is playing a different game. Its direct site may be a shop window rather than its main channel, its pricing is constrained by what retailers charge, and a direct-only competitor comparing itself with it is comparing against a business with different economics.
What should I check first?
Subscription terms on your three closest competitors, side by side. Discount, minimum commitment, cancellation terms and whether the saving is framed per order or per unit. It takes twenty minutes, it is entirely public, and it tells you how hard each of them is working for the second order.
Twenty minutes on subscription terms
Open three competitor product pages and write down four things from each: the subscription discount, the minimum commitment, the cancellation terms, and whether the saving is framed per order or per unit. That grid takes twenty minutes and it is the most informative thing you will read about the category this month.
If all three are discounting heavily, the category has a retention problem and the opening is product rather than price. If one of them is not, read their product page carefully, because something on it is doing work that the others are paying for.