ROAS, return on ad spend, is the revenue generated by advertising divided by the cost of that advertising, usually expressed as a ratio or a multiple — a ROAS of 4 means $4 of revenue for every $1 of ad spend.
Definition
ROAS, return on ad spend, is the revenue generated by advertising divided by the cost of that advertising, usually expressed as a ratio or a multiple — a ROAS of 4 means $4 of revenue for every $1 of ad spend. It measures the efficiency of media spend specifically, and it is the target that automated bidding systems optimise toward when told to.
ROAS is straightforward for immediate-revenue businesses but tricky in iGaming, where a player's value accrues over months. A day-one ROAS will look poor because the first deposit is only a fraction of lifetime value; a 180-day ROAS is more meaningful but only measurable for older cohorts.
So iGaming teams work with a projected ROAS based on modelled LTV, and a target ROAS that reflects the acceptable payback period rather than immediate break-even.
In context
Operators define ROAS carefully: which revenue (gross stakes, net gaming revenue, or margin after bonus and payment costs), over which window, and whether it includes only the directly attributed players or an incrementality-adjusted figure. Feeding a bidding algorithm a target ROAS based on first-deposit value alone will make it chase cheap minimum deposits; feeding it a value signal weighted toward projected LTV steers it toward better players, which is why sending deposit-tier or predicted-value events on the postback matters.
ROAS and CAC/LTV describe the same economics from different angles: ROAS is revenue-over-spend for the ad channel, while LTV-to-CAC is value-over-fully-loaded-cost for the customer. A campaign can show an acceptable ad-only ROAS and still be unprofitable once affiliate commissions, bonus cost and team overhead are included.
Practitioners therefore treat platform-reported ROAS as a media-efficiency indicator, not a profit measure, and reconcile it against a full contribution-margin view before deciding to scale.
Worked example
A paid-social campaign reports a platform ROAS of 3.5 on first-deposit value. Adding bonus cost, payment fees and the modelled LTV multiplier, the projected 180-day contribution ROAS is 1.4 — thin but positive.
The team keeps it running at current budget but does not scale until the LTV projection is confirmed by the cohort maturing.
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