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Offer walls

The traffic you throw away is still worth money.

Put a wall of paying offers in front of the leads that didn’t sell and the visitors about to bounce — ranked by what actually earns, and matched to what you already know about the person.

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Exit & leftover traffic
Payout-ranked offers
Embed or JSON feed
Offer wall builder showing offers, payouts and targeting rules in a sortable grid
What a wall does

A second way to get paid for the same visitor

The lead sold, or it didn’t. Either way the visitor is still on your page, and they are still worth something to somebody.

The traffic you already paid for

A lead that did not sell, a visitor about to bounce, a thank-you page nobody monetises. That traffic cost you money to acquire. A wall gives it somewhere to go that pays.

A wall you can actually style

List, grid, or carousel, with themes and your own CSS. It sits on a publisher’s page and looks like it belongs there, not like an ad unit someone bolted on.

Sorted by what earns, not what promises

Rank offers by the revenue they have actually produced over the last 30 days. The offer with the biggest advertised payout and no conversions drops down the wall by itself.

Offers matched to the person

Gate each offer on what you already know — debt amount over 10,000, a credit score in a band, a state. A visitor only sees the offers they could plausibly convert on.

Geo blocking that cannot be spoofed

Country comes from the visitor’s IP, resolved on the server. It is not a query parameter a publisher can set or forget, which is the only way a geo block is worth having.

Send the advertiser what you know

Forward the consumer’s own fields into the destination URL — debt amount, credit band, zip. Attribution keys are protected, so nothing in a supplier’s payload can hijack the click.

Payout sorting

The best-paying offer is rarely the best offer

Advertisers quote a payout. What matters is the revenue an offer has actually produced from your traffic. Datahubb ranks the wall on the last 30 days of earnings, so the offer that promises the most and converts the least sinks without you noticing it.

  • Ranked on revenue actually earned, not the advertised payout
  • Precomputed, so sorting the wall costs nothing at serve time
  • Or sort by EPC, CPM, newest — or drag them into your own order
Wall orderby revenue · 30d
OfferPromisedEarned
Debt relief — quiz$2.40$1,914
Auto insurance — quote$3.10$1,180
Solar — eligibility$1.80$742
Home warranty$4.00$96

The best-paying offer on paper is the worst earner — so it sinks.

Shipping it

Two ways to put a wall on a page

Give a publisher a snippet, or give them the data and let them build it. Either way the tracking is the same.

Drop a script tag and a mount div on any page — the wall renders itself
Or take the offers as a JSON feed and render them yourself, in your own markup
Publishers can pass extra fields from the page into the targeting rules
Every wall click chains back to the lead and click that produced it
FAQ

Frequently asked questions

A curated set of third-party offers shown to a visitor, usually at the point they would otherwise leave — a thank-you page, an exit moment, or a lead that nobody bought. They click an offer, the advertiser pays you, and traffic that was worth nothing becomes worth something.

That is what it is for. Offers, walls, targeting, click tracking, and conversion attribution run inside the platform your leads already live in — so wall revenue lands in the same reporting as lead revenue instead of a second dashboard you reconcile by hand.

It sorts on what the offer earned in the last 30 days, not the payout the advertiser advertises. An offer promising $4.00 that nobody converts on sits below one promising $2.40 that people do. The figure is precomputed, so ordering the wall costs nothing at serve time.

Layered. The wall’s own geo rules, then each offer’s geo and zip targeting, then an optional rule tree evaluated against the visitor’s consumer profile — the lead’s payload merged with anything your integrations enriched it with. If a value is unknown, an offer that depends on it is hidden rather than shown on a guess.

No. Country is resolved server-side from the IP address rather than accepted as a parameter, so there is no query string for a publisher to set or forget. If the country cannot be resolved at all, an offer restricted to an allow-list of countries is hidden rather than shown. State targeting is validated against the IP country too — a Californian state code on a Canadian IP is dropped rather than trusted.

Yes. A wall click chains to the click that produced the lead, so a tracker link into a wall into an offer stitches back to one journey rather than three unrelated events. See click tracking for how the chain is built.

Stop letting good traffic bounce for free.

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