Editorial Review
When Gambling Advertising Works, What Counts as Success?
This editorial review examines recent research on gambling promotion and proposes a practical framework for judging campaign performance. It separates exposure, changes in behaviour and consumer outcomes, then asks how commercial returns should be assessed alongside them.
A gambling advertisement that brings someone back to a betting website may count as a commercial success. That tells us little about whether the visit was welcome, whether any bet followed, or whether the person could afford it. The same event can look different to a marketing director, a customer and a regulator.
That tension deserves more attention than the familiar argument about whether advertising works. A company can reasonably want adults who already gamble to choose its service. Public policy must also consider people who did not seek the promotion, including those trying to reduce their gambling. Counting registrations alone cannot reconcile those interests.
Recent research covered in our reports on gambling advertising and help-seeking searches and branding in Premier League YouTube highlights approaches this problem from different directions. Read together, the studies encourage better questions about exposure, behaviour and harm. They do not make those three things interchangeable.
Reading the evidence
Three questions a conversion count cannot answer
Exposure, behaviour and harm need separate measures.
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Exposure
What did the audience encounter?
Record the promotion and where it appeared.
Still unknown: whether anyone placed a bet.
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Behaviour
What activity actually changed?
Distinguish visits, wagers and switching providers.
Still unknown: whether total gambling increased.
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Consumer outcomes
What did it mean for the person?
Assess harm and interpret requests for support in context.
Still unknown: whether more help seeking reflects more harm or better access to support.
To assess cause, ask what would have happened without the promotion.
Existing gambling interest and advertising targeting can complicate the comparison. An observed association alone does not establish what an advert caused.
Visibility is the beginning of the question
A University of Nottingham preprint examined gambling branding in selected football highlights on YouTube. Gambling brands occupied roughly a third of the sampled Premier League footage, compared with under 2% of the World Cup footage. Much of the Premier League branding appeared around the pitch rather than on the front of shirts.
This was a study of what appeared on screen, not what viewers subsequently did. The sample was selected rather than representative of an entire competition. Its authors could not establish how many viewers were children, and the pre-roll adverts recorded reflected one personalised viewing experience. The work had not been peer reviewed in the version examined here. Its broader figures for unhealthy products must not be mistaken for gambling-only exposure.
The practical question for a sponsor is therefore larger than the prominence of its most recognisable placement. For a regulator, it is whether a restriction changes what audiences encounter across a viewing session. A policy can remove a visible symbol while leaving other routes of exposure open. Measuring the whole experience would make that distinction harder to obscure.
A behavioural signal needs careful interpretation
In Policy & Internet, Chris Vargo, Toby Hopp and Harsha Gangadharbatla combined two observational studies. One linked advertising spending across 41 US states from 2014 to 2023 with Google Trends data for 116 gambling-related help-seeking queries. Higher spending was associated with greater search interest. The other combined surveys and recorded digital activity from 419 eligible mobile-platform users, finding associations between advertising exposure and gambling engagement.
Those findings do not establish that advertisements caused addiction. Searches are indicators of concern or help seeking, not diagnoses. A visit to a gambling website does not confirm a wager. People already interested in gambling may receive more adverts, while targeting and other differences can complicate causal interpretation.
The study also found no statistically significant association between sports-betting legal status and help-seeking searches in its adjusted models. That narrow result is not evidence that legalisation has no consequences. The advertising measure covered several gambling categories; the legal-status measure concerned sports betting.
For decision-makers, the useful response is neither a causal claim the evidence cannot sustain nor dismissal because certainty is incomplete. It is to specify which unresolved questions would change a marketing decision, then collect evidence capable of answering them.
The offer matters as well as the audience
Advertising is not one uniform intervention. A logo beside a pitch, an invitation to open an account and money offered to encourage further play differ in content and immediacy. Restrictions or evaluations that combine them into a single category may miss the part doing the most work.
A randomised study published in 2020 illustrates the value of narrowing the question. Researchers assigned 171 regular online gamblers to simulated monetary inducements or a control condition. Inducements increased money wagered and perceived loss of control, without a demonstrated effect on time spent gambling. However, the simulated offers lacked the conditions attached to real promotions, and the experiment concerned a single session. It does not establish the long-term effect of every bonus or sponsorship.
This is also a reason to avoid defending all promotion through the least intrusive example, or criticising every format through the most aggressive one. An evidence-based policy should be specific about the behaviour it seeks to influence and the mechanism it intends to restrict.
Performance needs more than a conversion count
A more credible evaluation would start by separating customers switching between providers from customers increasing their total gambling. Both may generate new business for an operator, but they answer different questions about the market's effect on consumers.
That distinction creates a difficult measurement problem. One operator's account data cannot reveal everything a customer does elsewhere. A campaign's apparent success may partly reflect activity that would have happened anyway. These limitations should shape claims made about performance, rather than disappear from the presentation when a result is favourable.
There is also a competitive question. If operators raise advertising bids to retain or win the same players, each may find spending commercially necessary even when much of the resulting activity simply moves between brands. That could resemble an advertising arms race: acquisition costs rise without an equivalent increase in underlying demand. Media owners may benefit from stronger bidding, while operators’ returns depend on the value and durability of the customers gained. This is a scenario to test, not a finding established by the studies discussed here. Evaluation should distinguish provider switching, additional gambling and the cost of generating either.
Our view is that campaign reviews should pair commercial outcomes with consumer outcomes. Did spending rise beyond the customer's previous pattern? Did complaints or requests to stop marketing increase? Were people who had asked for a break reached again? Such indicators need context: a request for help may reflect improved awareness and access to support. Treating fewer requests as automatic evidence of safer gambling could reward the wrong behaviour.
Measures should also be examined across different groups. A reassuring average can conceal a campaign whose gains are concentrated among customers already showing signs of difficulty. Privacy safeguards and independent scrutiny would be essential to making this analysis credible.
A scorecard with a stopping rule
For a marketing director, a useful balanced scorecard would pair incremental acquisition and cost with evidence that player-protection controls work. Protection measures should be conditions for continuing a campaign, rather than points that revenue can outweigh in an average. Live marketing blocks operate continuously; the weekly review checks whether they worked.
Worked example · one campaign
Commercial targets met. Protection checks failed.
All figures and internal targets below are hypothetical, not operator data or industry benchmarks.
| Measure | Result | Decision rule |
|---|---|---|
| Incremental first-time depositors (FTDs), estimated against a holdout group | +120 | Commercial target: +100. Assess the estimate’s uncertainty before increasing spend. |
| Acquisition cost per incremental FTD | €150 | Commercial ceiling: €180. This measures acquisition cost, not lifetime profitability. |
| Marketing messages delivered despite an active responsible-gaming (RG) block | 2 | Zero permitted. Stop the affected automated marketing flows and resolve the failure. |
| RG follow-ups completed by the internal deadline, including risk reassessment | 18/20 | Internal target: 20/20. Complete the two overdue reviews and take appropriate action. |
Decision: do not scale yet
Correct the marketing-block failure and address the overdue reviews before reconsidering expansion. Commercial performance cannot override an RG block.
For remote operators covered by Britain’s customer-interaction code, preventing marketing and new bonuses when strong indicators of harm are identified is already a requirement. The code also requires evaluation of interventions. The dashboard above is our editorial example, not a prescribed regulatory template.
A lifetime-value ceiling or churn among high spenders would need careful interpretation: neither establishes safer gambling by itself, and leaving one operator may mean playing elsewhere. Britain’s high-value-customer guidance emphasises individual risk assessment and protection from commercial pressure. A dashboard should support those judgements, with a named owner for each unresolved issue.
Make the standard of success explicit
Regulators face a related obligation. If a restriction is intended to reduce exposure, that should be measured. If its purpose is to reduce harmful gambling, changes in advertising visibility are an intermediate result rather than the final verdict. Evaluations need a stated outcome, an appropriate comparison and enough time to distinguish a lasting change from a temporary adjustment.
Operators, meanwhile, should be able to explain why a campaign remains acceptable when its commercial and consumer outcomes diverge. That explanation requires more than pointing to compliant wording or the absence of proven harm from one advertisement.
The most useful question is what happens when a promotion performs exceptionally well. Our answer is that success requires incremental commercial value, functioning player-protection controls and scrutiny of customer outcomes. If a campaign fails the protection checks, strong conversion figures are a reason to investigate its effects, not to increase its budget.