Dating Ads Traffic: Buy Dating Traffic by Country

Dating traffic is paid inventory for dating apps and sites, where the conversion is usually a registration and sometimes a first subscription. Buying dating ads traffic here means popunder, push and native, a price you set for each market, and targeting down to device, operating system and connection type.

View available traffic
2.6B
impressions available a day
243
countries with available traffic

Formats that work for dating

Popunder, push and native for dating offers

What is comparedPopunder adsPush adsNative ads
BillingPer thousand impressionsPer clickPer click
Volume for datingThe largestDepends on the baseSmaller, but engaged
CreativeNothing to designAn icon and two short linesA photo and a headline
Moderation riskNone, there is no creativeHighest, the icon is the creativeHigh, the photo carries it
Works here forCheap registrations at scaleReactivating a warm baseOffers that need a face and a line

Why buy traffic on Youtarget

A self-serve DSP with its own traffic and RTB access to external supply.

  • Targeting that goes deep

    Country, city, device, OS, browser, connection type, carrier, set separately per campaign and changed while it runs.

  • Retargeting on your own events

    Audiences are built from the events you report: a visit, a registration, a paid order. A campaign targets them or excludes them.

  • Optimisation on your data

    Send conversions back with a postback and the system bids towards them instead of towards clicks.

  • Automated rules on triggers

    Set a trigger once and the campaign acts on it: a weak zone gets switched off, the bid for a country or an hour gets moved.

  • Statistics down to the source

    Traffic-source level reporting in real time, so a placement that spends without converting is visible the same day.

  • CPM, CPC and CPA

    Pick the model that matches the offer, and switch it without rebuilding the campaign.

  • Blocklists and allowlists

    Exclude a source or keep only the ones that work, at campaign level, as the picture clears.

  • Antifraud on the platform side

    Bots and invalid clicks are filtered out before they are billed, so the numbers you optimise on come from people.

Available popunder traffic by country, the main format for dating

CountryAvailable impressionsRec. CPM
India607M$0.19
Indonesia336.6M$0.62
United States142.2M$1.21
Egypt119.8M$0.60
Philippines80.8M$0.70
Japan80.6M$0.62
Russia70.8M$2.14
France61.3M$0.74
Brazil60.8M$0.39
Bangladesh53.8M$0.50

Volumes and bids are pulled from the platform and updated daily. See the full table with filters

Dating is the vertical where audience composition matters more than anything else. The same offer with the same creative performs completely differently depending on the age, gender and device mix a source delivers, and most of a campaign's work is finding sources whose mix matches the offer.

The second thing to know is that registrations are easy and retention is not. If you are paid per registration, the advertiser is watching what happens after it, and traffic that registers and disappears stops being accepted regardless of volume.

Finding the right audience before the right creative

Two sources in the same country can differ several times in registration rate for the same offer, and the reason is almost always composition rather than quality: one delivers a mix the offer matches, the other does not.

So the first optimisation pass is by source and device, not by creative. Split from the start, give each source enough clicks to be readable, and rank them by cost per registration. Only then start testing what to say.

When a country underperforms across every source, that is a market signal: the offer, the language or the price does not fit. When it underperforms on some sources and works on others, it is a targeting signal, and targeting is much cheaper to fix.

What it costs to start

Dating is forgiving on the way in. Registration is a cheap conversion and the funnel is two steps long, so the minimum deposit of $50 buys a genuine test rather than a sample. In a Tier 3 market it can return enough sign-ups within a day to separate a working source from a dead one.

The catch is that registrations are not what you are paid for. Advertisers count active users, and a source can deliver a hundred sign-ups that never open the app again. Before scaling anything, wait until the advertiser has judged the cohort, not until your own dashboard looks good.

Creatives and what moderation rejects

Push is where creative work matters in this vertical, because the headline and the icon carry the whole message. Concrete beats vague: a city, an activity, a number.

What gets rejected: explicit imagery, fake message and match notifications, and anything imitating a system alert. Beyond policy, notification-style creatives collect clicks from people who thought they were closing an alert, and those users do not register.

Rotate creatives before performance decays rather than after. In dating the same audience sees a large volume of similar ads, and a creative that worked for two weeks rarely works for a third.

Registrations, subscriptions and what the advertiser sees

A registration is cheap to produce and easy to over-optimise. If your payout is per registration, remember the advertiser is measuring the next step (activity, messages, a subscription) and their acceptance of your traffic depends on it.

Ask which post-registration metric they track and get it back by source if possible. A source with a slightly higher cost per registration and much better retention is the one worth scaling, and you cannot see that from your own numbers alone.

If the payout is per subscription, expect a longer feedback loop and set the click threshold per source before launch, the same way you would in a finance campaign.

Landing pages that survive cold traffic

A visitor from popunder had no prior intent, so the first screen has to establish what the service is and what the first action costs: nothing, in most dating funnels. Make that explicit.

Use profiles and copy that are plausible for the target market. Photos and names that read as foreign undercut the entire premise, and in this vertical the premise is the product.

Registration should be one step. Every additional field between the click and the account costs a share of conversions that the small payout cannot afford.

Frequency, device and connection targeting

Cap frequency early. Dating audiences are heavily shared between advertisers, and without a cap the most active users absorb impressions and stop responding.

Split Android and iOS into separate campaigns. Volume, price and behaviour differ enough that a blended report hides which platform is actually paying.

Connection type is worth testing separately: mobile-carrier traffic and Wi-Fi traffic in the same country often produce different registration rates, and both are targetable parameters rather than guesses.

Dating and sweepstakes: similar mechanics, different discipline

Both are high-volume verticals with small payouts, one-step conversions and heavy audience overlap, so the buying discipline is the same: caps, splits, cost per conversion.

The difference is what happens after the conversion. A sweepstakes entry is complete on submission; a dating registration is the beginning of a relationship the advertiser evaluates. That makes dating more sensitive to audience composition and less forgiving of volume without quality.

If you have run sweepstakes, the transferable part is the process. The new part is caring about what happens after the form.

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Dating traffic: frequently asked questions

Dating traffic is paid traffic for dating apps and sites, where the conversion is usually a registration and sometimes a first subscription. On Youtarget it is available in popunder, push and native formats with per-country bidding.

Popunder for volume and finding responsive countries and sources, since it needs no creative. Push for scaling, because the headline and icon can be tested. Native when the offer needs framing rather than an impulse.

Because audience composition differs: age, gender and device mix. In dating that is the dominant variable, which is why the first optimisation pass should be by source and device rather than by creative.

Yes. Volume, click price and user behaviour differ enough that mixing them in one campaign hides which platform is paying. Run them as separate campaigns and compare cost per registration.

They are measuring what happens after the registration: activity, messages, subscriptions. Traffic that registers and disappears eventually stops being accepted, so ask which post-registration metric they track and optimise sources against it.

Explicit imagery, fake match or message notifications, and anything imitating a system alert. They also perform badly in practice: clicks from users who thought they were closing an alert do not turn into registrations.

The conversion is cheap and immediate, so data arrives fast and tempts you to scale on it. What arrives slowly is the advertiser's opinion of that data. Dating is the vertical where the gap between your numbers and the payout you actually receive is widest. Source-level splits matter most here: two sources in one country can differ by an order of magnitude in user quality.

Other verticals

The same platform, a different offer and a different set of rules.

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