What is a good roas for facebook ads

ROAS without context is meaningless. A 2x ROAS on cold acquisition is excellent if your LTV is 5x AOV; a 5x ROAS on retargeting is mediocre if your incremental lift over baseline is zero. The headline ROAS number needs to be paired with funnel stage and customer-economics context to be useful.

Cold acquisition ROAS typically runs 1.5x-3x for healthy DTC. Below 1.5x and you're burning capital on customer acquisition; above 3x and you're probably under-spending (more aggressive bidding would absorb more profitable demand). The 'right' cold ROAS depends on LTV - if LTV is 4x AOV, then 1.5x acquisition ROAS is profitable on the first 6-12 months of customer life.

Retargeting ROAS typically runs 4x-8x. The higher number reflects warm audiences with pre-existing intent. But high retargeting ROAS can mislead - much of it is incremental-vs-baseline questionable. Customers who'd have purchased anyway get retargeted; their conversions get credited to the ad. Pair retargeting ROAS with incrementality testing if you can.

Brand-awareness campaigns often run 0.5x-2x ROAS by design - the goal is reach and recall, not direct conversion. Reading those campaigns as ROAS failures is a category error. Use cost-per-thousand-recall or reach-uplift metrics for awareness campaigns.

B2B SaaS and Fintech run higher medians (3.5x and 4.2x respectively) because the high LTV makes higher CPAs sustainable. A B2B SaaS company with $30k ACV can afford a $1k CAC, which produces a 30x first-touch ROAS even on relatively expensive campaigns.

DTC ecommerce sits in the middle (2.6x median) - reasonable LTVs but high competition for the audience pushes CAC up. Top quartile DTC brands hit 4.2x by either operational excellence (high AOV, strong repeat-purchase) or category-specific tailwinds (niche category with low advertiser competition).

Home goods runs lower (2.4x median, 3.9x top quartile) - high-AOV considered purchase with longer consideration windows. The ROAS looks weaker because much of the conversion happens beyond the 7-day attribution window, missing the actual conversion event in Meta's reporting.

Beauty and fitness are middle-of-pack with variance dominated by category saturation. Brands in saturated sub-categories see lower ROAS; brands in unsaturated micro-niches see higher.

Three levers, in priority order. First: improve creative quality and volume. A top-quartile hook delivers 2-3x the ROAS of median creative on the same audience. Most ROAS gaps are creative gaps; ad-level optimization gets diminishing returns past a point but creative iteration compounds.

Second: tighten your audience targeting. Broad audiences at scale produce middling ROAS by design - Meta's algorithm optimizes against the broad audience and finds the convertible subset, but at lower ROAS than starting tight. Lookalike audiences (1-3% of high-LTV customers) consistently outperform broad audiences for ROAS-focused campaigns.

Third: improve attribution quality. Vanilla Meta pixel undercounts conversions in the iOS 14+ era. Server-side CAPI implementations recover 10-30% of attribution, which directly improves reported ROAS. Tools like Hyros, Triple Whale, Northbeam, or Elevar all do this. The lift is real even when nothing about the underlying campaigns changes.

Internal: what-is-a-good-ctr-for-facebook-ads, what-is-a-good-cpc-for-facebook-ads.