Drag-and-drop builder
Mobile-first canvas. Drag ad units onto a page, drop blocks into ad units. Inline rich-text editing, hover preview on every placement, AI co-pilot on every field.
An ad server, made of listicles
Drag-and-drop builder where every block is a first-class ad unit — versioned, A/B-tested, bandit-optimized, deployable across pages. Built for media buyers who think in ad units, not paragraphs.
April 2026 update
By Linda Chen · Reviewed by R. Patel, MBA
Built to plug into
The four pillars
Mobile-first canvas. Drag ad units onto a page, drop blocks into ad units. Inline rich-text editing, hover preview on every placement, AI co-pilot on every field.
Every block is a versioned ad unit. Place it on five pages, A/B-test it once, and the winning variant compounds everywhere it lives. RPM rolls up by ad unit, slot, and CTA button.
Thompson Sampling on RPM with CTR cold-start. Sticky page assignment, 5% allocation floor, AI-generated challengers every round.
Sub-50ms click ID, sub1–sub10 passthrough with per-button overrides, currency-normalized postbacks, outbound forwarding to anything.
The mental model
If you've spent a year staring at an ad server, this maps cleanly. Every block in a listicle is a first-class ad unit — its own version history, its own A/B tests, its own bandit arms, its own RPM.
One winning unit deploys across every page that places it. Edit once, propagate everywhere. Roll up by ad unit, by slot, by traffic source. The drag-and-drop builder is just the friendly front end on top of an ad-server data model that already knows what an ad unit, placement, creative version, line item, fill, and reporting dimension are.
No new vocabulary to learn. The nouns you already use, on listicles instead of banners.
AI at every step
The co-pilot knows your pages, your ad units, your integrations, your analytics, and your audit log. It writes through the same role and domain scope as a human teammate.
The co-pilot can
Build
Generate full pages, ad units, and qualifiers from a one-line brief.
Diagnose
Decompose RPM drops by sub-ID, geo, device, version, arm.
Optimize
Propose the next experiment with hypothesis and predicted lift.
Compose
Headlines, CTAs, hero images, FTC-aware disclosures on demand.
Explain
Plain-English Bayesian rationale for every concluded experiment.
Operate
Pause, archive, promote winners across pages — with one approval.
Migrate
Paste a competitor URL, get a tenant-owned page in your template.
Onboard
A 3-question intake produces the first published page.
Every variant compounds
Thompson Sampling on RPM, CTR-warmed cold-starts, and a 5% allocation floor so no arm ever starves. Visitors stick to a variant for the session. Concluded experiments promote the winner and AI drafts the next three challengers — automatically.
$42.10 · 86%
$28.40 · 11%
$19.80 · 3%
https://offer.partner.com/click ?clickId={cid} &payout={payout} &sub1={sub1} # button override &sub2={sub2} # from landing &sub3={geo_state} &source=tlb
POST /postback ?clickId=cid_8f3a… &payout=42.10 ¤cy=USD &conversionType=sale → accepted · normalized · forwarded to · google_ads_capi (200) · meta_capi (200) · leadrouter_webhook (200)
Built for the integration layer
Click tokens mint in single-digit milliseconds. HMAC-verified inbound postbacks normalize currency, dedupe by configurable rule, and re-fire to your downstream stack — Google Ads CAPI, Meta CAPI, lead routers, anything with a URL.
Trust default
Vertical-aware disclosure library, AI-tuned per offer, required block in every template.
Trust default
Geo-detected banner, consent state cookie, AI-generated privacy policy from real data flows.
Trust default
Cloudflare + FingerprintJS + AI-clustered heuristics. Filtered traffic excluded from arms.
Register a domain in the morning. Run paid traffic to a polished, self-optimizing page by dinner. Free to start.