AdBid in numbers












What is an AI advertising platform?
AdBid is an AI advertising platform where AI agents run paid media end to end: generate creatives, launch campaigns on Meta, Google and TikTok, scale winners, cut losing spend and read revenue signals from one shared operating context.
Every signal in. Every action out.
Ad platforms, attribution, analytics, and warehouse data become one shared context for every agent.
From business goal to the next winning decision.
Six connected branches share context, hand work forward, and turn every result into the next decision.
- 01 · Data AgentConnect every signalMeta, Google, TikTok, attribution, and revenue in one shared operating context.
- 02 · Strategy AgentSet the goal and guardrailsDefine CPA, budget, markets, approvals, and stop-loss rules once.
- 03 · Creative AgentGenerate and localize the next testsTurn performance patterns into new concepts for each market.
- 04 · Campaign AgentLaunch across channelsBuild clean campaign structures and publish to every connected ad account.
- 05 · Media Buying AgentMonitor and move every dollarCatch waste early, pause weak combinations, scale winners inside your rules.
- 06 · Analytics AgentLearn from revenue and LTVClose the loop with downstream value and feed the evidence into the next brief.
There's a new way to make ads that win.
Six steps from the first idea to the next brief, all inside one system that remembers what worked.
Start from a winner, a reference, or a hypothesis
Browse your library and live market feeds by hook, angle and geo. Save the strongest references and turn them into the next test brief in one click.
Catch the next trend before it saturates
Recently launched ads climbing the impressions ranking across Meta and TikTok, so early signals become your next creative opportunity.
Generate static ads at batch scale
Compare Banana, Flux, Ideogram and QWEN on the same concept, evolve the best, and produce hundreds of localized variations in one run.
Scale video production with AI
Turn winning concepts into test-ready variations: translate with lip sync, swap characters, add caption styles and remix scenes for every market.
Know which ads to iterate
Connect your ad accounts to see ROAS, hook and hold rates and retention per creative, then iterate on the top performers instead of guessing.
Improve your win rate
See the creative patterns behind your results. Get straight answers on which ads work, why they work, and what to make next.
Keep one library for uploads, generations, and winners
Uploads, AI-generated assets, localized variants and winner history live together, ranked by real performance instead of scattered across folders and ad accounts.
- Spot early winners before they scale
- Rank creatives by spend, CTR, CPA and ROAS
- Catch creative fatigue before budget leaks
Full autopilot for campaigns, ad sets, ads, and geo scale
AI agents assemble campaign structures, choose when to launch through ABO or CBO logic, apply the right bid approach, localize winning setups into new markets, and keep optimizing live spend against CPA, ROAS, and downstream value.
- Build campaigns, ad sets, and ads in one pass. Set the goal, budget, offer, landing page, geo and creative inputs once.
- Roll out winning structures into new geos. Duplicate the setup, localize texts and assets, keep the rollout consistent.
- Scale winners and cut losing spend fast. Shift into Cost Cap or Bid Cap execution when the economics require more control.
- Keep autopilot visible, reviewable, and safe. Previews, approvals, logs and rollback paths across connected accounts.
Automate ad launch. Optimize on real-time data.
Launch faster, see why ads perform, and scale your best ones.
Revenue intelligence for paid media decisions
Connect campaign actions to attribution, revenue, cohort quality, predictive LTV, and creative health so teams scale what truly works. Free attribution, predictive LTV, KPI monitoring, and an AI analyst that explains what changed before teams waste more budget.
- Get free attribution that connects spend to revenue. Cost, revenue, ROAS and paying users in one view.
- Predict LTV before the spend window closes. Early quality signals show which segments deserve more spend now.
- Ask the AI analyst what changed. Why ROAS moved, which hook family is fading, what geo is outperforming.
- Spot fatigue, KPI drift, and winner patterns before the account spends too long on fading creative.
Workflow examples for growth teams.
No fake numbers. Just the operating patterns teams need: campaign structure, creative testing, attribution, revenue feedback, and rollout decisions.
See all casesBuilt for how each business scales.
What our clients said about working with us.
Illustrative examples — not customer results. Names and figures show the workflow, not measured performance.
What changes when AI agents run your paid media
Burning through the night
- ✕Your ad platforms say ROAS 4x. Your CRM says 2x
- ✕Performance drops and nobody knows why
- ✕You scale spend but profit leaks
- ✕Creatives burn out before you notice
- ✕Campaigns need someone watching them daily
Scaling what works right
- Revenue-Linked Intelligence
- Instant Root-Cause Diagnostics
- LTV-Based Budget Reallocation
- Data-Decided Creative Winners
- Scale Without Headcount
The important questions, answered.
Start with visibility and recommendations. Increase autonomy as the team gains confidence in the rules and decisions.




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Google Analytics
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