Mapping the FMCG funnel from awareness to the second purchase

Prime Hydration launched in 2022 with its audience already assembled on YouTube and TikTok, and inside about a year it was doing retail sales in the hundreds of millions of dollars, with queues outside UK supermarkets. Awareness was never its constraint. The question that decides whether a launch like that becomes a brand is narrower: of the shoppers who put a bottle in the basket once, how many came back for a second one, at full price, in a week with no scarcity story running?

That gap between tried once and bought twice is where most grocery launches die. This lesson walks the funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.View full definition → stage by stage, attaches benchmark ranges for food, beverage and household categories, and marks the four places where a launch usually leaks.

The five stages and what measures each

In subscription software the funnel ends at "signed contract." In FMCG (fast-moving consumer goods) the sale is cheap and frequent, a $4 shampoo, a $6 cereal box, so the funnel has to survive dozens of repurchase cycles rather than one conversion.

1. Awareness: the shopper knows the brand exists.
2. Trial: the shopper buys it for the first time.
3. First-purchase conversion: awareness plus availability turns into a basket addition.
4. Repeat purchase: the shopper buys it again inside a defined window.
5. Habitual repurchase: your brand holds a stable share of that household's category buying.

Each stage is read from a different instrument: brand trackers for awareness, retail scanner and loyalty-card data for trial, and household panels for repeat and loyalty. Nielsen, which sells both the retail measurement and the panel data this funnel is read from, and its competitors are the reason a category buyer at a retailer can see your repeat rate before you do.

Awareness and its ceiling effect

Awareness gets measured two ways: aided ("have you heard of Brand X?" after seeing the name) and unaided ("name the brands you know in this category"). Unaided is the harder and more useful number. In mature categories like laundry detergent or toothpaste, unaided awareness for the category leader can sit near 60 to 80% in the US and Western Europe (estimate, varies by market and survey house). A new entrant typically launches under 5%.

The recurring mistake is buying awareness past the ceiling. If your target already sits at 70% aided awareness, another $2 million of TV moves that number by a point or two, and the shoppers you reachreachThe number of unique people exposed to your message in a given period. Unlike impressions, reach counts each person once, no matter how often they see it.View full definition → still cannot buy you in the store they actually shop. Awareness with no distribution behind it is the first leak, and it is invisible on a media report.

Trial and the first-purchase conversion rateconversion rateThe percentage of visitors or prospects who complete a desired action (purchase, sign-up, contact form), calculated as conversions divided by total opportunities.View full definition →

Trial is the actual first purchase. The bridge metric:

Awareness-to-trial rate = (number of people who tried the product) / (number of people aware of the brand)

Rough ranges from CPG (consumer packaged goods) commentary: 3% to 10% for a new SKU (stock keeping unit) in a competitive food or personal care category, and 10% to 20% for a well-distributed line extension of a brand shoppers already trust.

Trial is driven far more by shelf presence and price than by creative. That is why launch budgets split between media and trade spend: the second buys the facing and the promotional price that turns an aware shopper into a buyer.

Worked example:

A brand spends $3 million on a launch that reaches 10 million shoppers, 40% of whom become aware (4 million). Of those, 6% try it: 240,000 buyers. At $5 a unit, trial revenue is $1.2 million against $3 million of spend. Trial almost never pays for a launch. The launch pays only if enough of those 240,000 come back.

Repeat purchase, the stage that predicts survival

Repeat purchase rate = (triers who buy again) / (total triers)

Treated as estimates from new-product-development literature and panel providers: a repeat rate below roughly 30 to 35% in food and beverage warns that the SKU will not hold distribution. Above 40 to 50% is healthy for a new packaged food or household product. Trial can be bought with coupons, sampling and creator seeding. Repeat cannot, because it reports whether the product tasted right, worked, and felt worth the shelf price without a discount attached. Retailers use repeat, not trial volume, to decide whether a new listing survives its first 12 to 18 months.

Two things break this measurement in practice.

The window has to match the category's purchase cycle, not the calendar. Twelve weeks is two or three cycles for a chilled drink and reads as a decent repeat rate. For a specialty condiment or a sunscreen bought twice a year, the same 12 weeks reads near zero, and an SKU gets judged a failure before its second purchase was ever due. Set the window at two to three purchase cycles for that category and say so on the slide.

Then there is the promo-contaminated cohort. If 70% of your trial arrived on a two-for-one, your week-12 repeat rate mixes shoppers who have seen the real price with shoppers who never have. Split repeat by whether the first buy was on deal. The full-price cohort is the honest number, and it is usually 10 to 20 points below the blended one.

Penetration and repeat combine to drive brand share, which the panel houses' own explainers set out (Kantar on brand growth measurement) in terms accessible to non-technical readers.

Loyalty and share of category requirements

The last stage is a pattern, not a purchase. Marketers track share of category requirements (SCR):

SCR = (units of your brand bought by household) / (total category units bought by household)

A loyal household might buy your yogurt 70% of the time and two rivals the rest. Exclusive loyalty is rare in FMCG; most categories run on the "polygamous loyalty" documented by Byron Sharp in How Brands Grow, where even market leaders' buyers regularly buy competitors.

So do not design a campaign around 90% loyalty. Moving SCR from something like 15% to 25% across a buyer base over several years is a strong result, achieved mostly by mental availability (being thought of at the moment of purchase) and physical availability (being easy to find and buy).

Where the second purchase decides the payback

Divide launch spend by triers and you get a per-trier figure, which the acquisition lesson prices properly as cost per incremental household. What the funnel adds is sensitivity: how much the repeat rate moves the payback date.

Take the 240,000 triers above and assume $2 of gross contribution on a $5 unit (illustrative, ambient branded food). Recovering $3 million needs 1.5 million units of contribution. At a 35% repeat rate, 84,000 households come back and buy, say, eight units a year: 672,000 units, about $1.34 million a year, so payback lands somewhere past year two. Lift repeat to 50% and 120,000 households buy 960,000 units, roughly $1.9 million a year, and payback arrives inside about 18 months. Same media plan, same trial number, a year of cash difference. That is why 15 points of repeat rate is worth more than 15 points of reach, and why the household value the sibling lesson models is unreadable until repeat has stabilised.

Two leaks show up specifically at the second purchase. The first is supply. The second trip happens on a fixed schedule, and if the facing is empty or the store never restocked, the habit does not form and the shopper substitutes back to what they bought before. Genki Forest, the Chinese sugar-free sparkling water brand founded in 2016, scaled hard through convenience-store distribution and then invested in its own production capacity rather than staying dependent on contract manufacturers; for a fast-growing SKU, a supply gap during the repeat window is a marketing loss, not just an operations one.

The second is cannibalisation. A line extension can post excellent trial while household penetration for the brand does not move, because the buyers are yours already, switching SKU. Read trial and penetration together, or you will fund a launch that reshuffles your own shelf.

🎬 [VIDEO: "How Brands Grow: The Byron Sharp Marketing Framework Explained" - youtube.com - a walkthrough of penetration, loyalty, and mental/physical availability concepts underlying FMCG funnel benchmarks]

Key takeaways

• The FMCG funnel runs awareness, trial, first purchase, repeat and habitual repurchase, and it has to survive many repurchase cycles rather than one conversion.
• Repeat purchase rate is the best single predictor of whether a launch holds shelf space: estimates put healthy CPG launches at 40 to 50%, with below 30 to 35% a warning sign.
• Set the repeat window at two to three purchase cycles for the category. A 12-week default flatters fast-turn drinks and condemns slow-cycle products before their second purchase is due.
• Split repeat by whether the first purchase was on promotion. The full-price cohort is the number a retailer's category buyer will eventually see.
• Awareness has a ceiling; past roughly 70% aided in the target group, additional brand media moves less than trade spend that puts the pack where the aware shopper already shops.
• Loyalty in FMCG is rarely exclusive: track share of category requirements and aim at moving it by points, not at single-brand devotion.
• Fifteen points of repeat rate can pull launch payback forward by roughly a year on identical trial volume, which is the strongest argument for spending on product, price and availability at the second purchase rather than on more reach.