POASTargetsbyCategory:RealisticBenchmarksforUKEcommerce2026

Asking "what's a good POAS" is like asking "what's a good gross margin" — the answer is entirely category-dependent. A POAS of 2.0:1 is exceptional for a low-margin food and drink brand, average for a beauty brand, and underperforming for a high-margin niche skincare line. This article gives realistic POAS target ranges for the major UK ecommerce categories, with the cost structures and competitive dynamics that drive each range. Use it to set your own targets and to call out any agency claiming "industry-standard POAS targets" without a category caveat.

For background on POAS itself, start with our POAS framework explainer. For category-blind metric comparisons, see POAS vs MER vs ROAS.

Why category-blind POAS targets are meaningless

The maths is simple. POAS is contribution margin per ad pound. Contribution margin is shaped by:

• Gross margin (varies 25–75% across UK ecommerce categories)
• Return rate (varies 4–35%)
• Average order value (varies £15–£300+)
• Fulfilment cost as % of order (varies 3–15%)
• Repeat purchase rate / LTV (varies enormously)

Two brands hitting the same ROAS will deliver wildly different POAS depending on these inputs. A blended "industry-standard POAS target" treats all of these as equivalent. They aren't.

This is why agencies claiming a one-size-fits-all POAS benchmark are either oversimplifying or selling you something. The right POAS target for your business depends on your category, your margin structure, your return profile, and what you need the business to throw off in cash.

Apparel and accessories

Realistic POAS range: 1.4 – 2.4

The defining characteristic of apparel POAS is the return rate problem. Returns in UK apparel typically run 15–35%, with fashion-forward and high-end brands at the upper end. Every returned order is revenue that comes back out, plus processing costs that stay out, plus depreciation on items not returned to sellable condition.

Gross margins are usually 50–60% — healthy in absolute terms, but the return rate eats a disproportionate share. A brand running 25% returns at 55% gross margin has an effective contribution margin closer to 35% once return processing is factored in.

What separates top-quartile from bottom-quartile: the top-quartile apparel brands have either solved the return rate (better sizing tools, virtual try-on, better product descriptions) or have segmented their bid logic to recognise that low-return SKUs deserve aggressive bids while high-return SKUs need defensive ones. Most apparel agencies miss this — they bid the catalogue uniformly and let the return rate quietly destroy margin.

Premium apparel (high AOV, low return rate) can run profitably at 1.6–2.0 POAS. Fast fashion (low AOV, high return rate) usually struggles to sustain anything above 1.3.

Beauty and skincare

Realistic POAS range: 1.8 – 3.0+

Beauty has the best POAS economics of any major UK ecommerce category in 2026. Gross margins of 65–75%, return rates of 4–10%, strong repeat purchase behaviour, AOV often boosted by routine-stacking and subscription. The maths is generous.

What it costs you to compete: Beauty is one of the most competitive auctions on Google. CPCs are high. The category is dominated by well-resourced incumbents (Estee Lauder, L'Oreal, plus the DTC scale-ups). Bid pressure is sustained.

What separates top-quartile from bottom-quartile: the top-quartile beauty brands lean into LTV and predicted-value bidding. They acquire first-time customers at first-order POAS of 1.0–1.4 because the lifetime POAS is 4.0+. Bottom-quartile beauty brands refuse to spend below 2.5 first-order POAS and lose market share to brands willing to play the long game.

Niche premium skincare (high AOV, low competition, high margin) can sustain 2.5–3.5 POAS. Mass beauty (high competition, more price sensitivity) usually targets 1.8–2.4 first-order with subscription dynamics pushing lifetime POAS materially higher.

Supplements and wellness

Realistic POAS range: 0.8 – 2.5 (first order) / 2.0 – 4.5+ (lifetime)

Supplements is the category where the difference between first-order POAS and lifetime POAS matters most. Subscription-based wellness brands are buying lifetime value, not first orders. A first-order POAS of 0.8 — apparently losing money — can be a 4.0 lifetime POAS if 65% of customers subscribe to a 6-month repeat.

The single biggest determinant of POAS performance in supplements is whether the bidding signal includes predicted lifetime value. Brands that pipe LTV predictions into Google Ads bid logic outperform on lifetime POAS by 50–150% versus brands optimising on first-order POAS.

What separates top-quartile from bottom-quartile: top-quartile supplements brands have an LTV prediction model integrated into their Google Ads conversion values. Bottom-quartile brands either don't track LTV well enough to use it as a signal, or refuse to bid above first-order break-even — capping their growth artificially.

One-off supplements (single-purchase brands, no subscription mechanic) need to operate at first-order POAS of 1.8+ to be sustainable. Subscription supplements can profitably acquire at first-order POAS as low as 0.6–0.8 if the repeat dynamics are strong.

Home goods and furniture

Realistic POAS range: 1.6 – 2.8

Home goods has stable, mid-tier POAS economics. Gross margins of 40–55%, AOV often high (£80–£300+), return rates lower than apparel (5–15%) but with much higher per-return cost (large items, freight, often non-recoverable items like ex-display furniture).

The defining challenge: long consideration cycles. A customer researching a sofa for six weeks before purchase generates a lot of branded research traffic that converts at high rates and inflates ROAS without representing genuine new customer acquisition.

What separates top-quartile from bottom-quartile: top-quartile home brands isolate branded search religiously and look only at non-branded POAS as their core success metric. Bottom-quartile home brands let branded research traffic inflate their numbers and over-spend on PMax because the blended POAS looks healthy.

Premium furniture (£500+ AOV, low return rate) can hit 2.5–3.5 POAS sustainably. Mid-tier homewares (£40–£120 AOV) typically run 1.8–2.4. Fast-moving consumable home goods (cleaning, paper, low margin) struggle above 1.6 unless margin is supplemented by subscription or bundle dynamics.

Food and drink

Realistic POAS range: 1.2 – 2.0

Food and drink runs the tightest POAS economics in mainstream ecommerce. Gross margins of 35–45%, often combined with cold-chain or fragile packaging costs that push variable cost-of-fulfilment to 10–15% of order value. Returns are usually zero — but waste and breakage cost money in the same way.

The category is also disproportionately discount-driven. Many food and drink brands rely heavily on first-order discounts (often 20–30%) to compete with supermarket pricing. These discounts come straight off contribution margin.

What separates top-quartile from bottom-quartile: top-quartile food and drink brands have figured out subscription. Once a customer is on a monthly recurring order, the unit economics shift dramatically — the same brand can profitably acquire at lifetime POAS of 2.5+ even when first-order POAS is 0.8. Bottom-quartile brands are stuck in transactional models with thin margins and aggressive discounting.

Premium ambient food brands (chocolate, coffee, snacks) can run 1.5–2.0 POAS. Chilled and fresh food typically operates at 1.0–1.6. Alcoholic drinks have unique excise duty considerations that compress POAS further — often 1.0–1.4 in practice.

Lifestyle, gifts, and other categories

Realistic POAS range: 1.5 – 2.4

A blend of dynamics depending on subcategory. Gifts often benefit from gifting AOV uplift (£40–£80 typical) and low return rates, but suffer from extreme seasonality. Lifestyle/wellness products (non-supplement) sit between beauty and home goods on most economics. Pet supplies often run more like food and drink (tight margins, frequent purchase).

The honest answer: lifestyle is too heterogeneous to give a single useful benchmark. The framework matters more than the number. Take your specific gross margin, return rate, fulfilment cost, and LTV dynamics, work backwards from break-even, and set a target that delivers the cash you need.

How to set your own POAS target

Don't pick a number from a benchmark table. Work backwards from what the business needs.

Step 1: Calculate your true contribution margin per order

Net sales minus COGS minus shipping minus payment fees minus return cost. Express as a percentage of revenue.

Step 2: Calculate your overhead absorption rate

Total fixed overheads (rent, staff, software, etc.) divided by total contribution margin. This tells you what proportion of contribution margin needs to flow to fixed costs before any profit drops to the bottom line.

Step 3: Set the break-even POAS target

The POAS at which advertising contributes enough margin to cover its share of fixed overheads. For most brands this is 1.2 – 1.6. Below this, you're losing money on ads. Above this, you're contributing to the business.

Step 4: Set the growth-funding POAS target

The POAS at which advertising generates enough surplus margin to fund growth investment (inventory, new SKUs, hiring). Usually 1.8 – 2.5 depending on growth ambitions.

Step 5: Set the cash-throwing POAS target

The POAS at which the business is genuinely profitable after all overheads, growth investment and dividend reserves. Usually 2.5+ for non-subscription, 2.0+ for subscription.

Different campaigns can be assigned different targets depending on their commercial job. New customer acquisition campaigns can run at growth-funding POAS. Profit-protection campaigns should run at cash-throwing POAS. This is the foundation of our BOI™ framework — see BOI™ explained for the full methodology.

The dangerous targets

Three POAS target patterns to avoid:

1. The category-blind blended target

"Let's set 3x POAS across the account." Treats every SKU as equivalent. Mathematically over-rewards low-margin bestsellers and under-rewards high-margin niche lines. The classic source of "ROAS up, margin down" stories.

2. The aspirational stretch target

"We want 4x POAS even though we've never hit it." Aspiration without operational backing usually leads to undisciplined bid management — chasing the target by cutting spend, which can hit the target but at much lower volume. The right question is whether the target is achievable at current spend, not whether it sounds impressive in a deck.

3. The "industry standard" anchor

"X agency told us their clients average 3x POAS so we should too." Ignores everything specific to your category, margin structure and growth ambitions. Industry averages are a sanity check, not a target.

Frequently asked questions

Next steps

Want help setting POAS targets that reflect your specific category, margin structure and growth goals? We work with ecommerce brands spending £10k+/month and build POAS targets from the P&L backwards, not from generic benchmarks.