See which ad wins before you spend a dollar.

An ad forecasting tool. You pick an audience, describe your ad — channels, budget, and optionally your actual ad copy — and Mimic creates thousands of simulated buyers, shows them your ads, and projects the outcome in a few seconds: click-through rate, conversions, revenue, ROAS, and CPA.

Underneath it is an agent-based simulation. Each simulated buyer has an individual personality, behavioral profile, channel preferences, and a position in a social network, and responds to your creative according to established behavioral-science models rather than a black-box average.

No. Benchmark tools tell you what the average advertiser saw. Mimic models your combination of audience, creative, and channel mix. The same ad copy produces different forecasts for different audiences, because each audience processes persuasion differently. That is a deliberate, tested property of the engine, not a side effect. VERIFIED

The behavioral core rests on published, peer-reviewed foundations — personality, for example, uses the Big Five framework (Costa & McCrae, 1992). SOURCED

The catalogue contains 92 audiences across three libraries:

The Google and Meta presets mirror the audience types you would actually buy on those platforms, so a forecast maps directly onto a real media plan.

Each audience is an 18-parameter psychographic profile: five personality traits, five behavioral metrics, six channel affinities, plus age and description.

No. Leave it blank and Mimic models a neutral creative, which is useful for comparing audiences and channels on a level playing field.

But providing your real headline and body text is where the tool earns its keep, because creative quality drives large, realistic swings in the forecast. In verification, an identical ad moved from ROAS ≈ 0.45 with a neutral creative to ROAS ≈ 4.1 with a strong creative — a clear offer plus proof. That is roughly a 9× conversion swing from copy alone. VERIFIED IN SIMULATION

On seven persuasion parameters — salience, value proposition, argument quality, source credibility, clarity, relevance, and emotional tone — scored per audience segment, because the same ad lands differently with a skeptical deliberator than with an impulse buyer.

Five: social media, email, display, search, and influencer. Every channel is simulated as an independent single-channel ad, which gives you clean per-channel attribution in the results.

Headline KPIs — impressions, clicks, conversions, CTR, CVR, revenue, ROAS, CPA — a per-channel breakdown, and a conversion curve over the ad duration.

Through a transparent cost bridge. Your budget converts to impressions using per-channel effective CPMs, and conversions convert to revenue using a value-per-conversion figure you set yourself.

Two CPMs are sourced from 2025 industry benchmarks: social/Meta feed at $13.48 (Triple Whale, 2025) and display at $2.80 (WordStream GDN report). The remaining 3 — search, email, influencer — are proprietary to Mimic and are labeled as such in the product. MODELED ROAS and CPA follow the standard definitions in Farris et al., Marketing Metrics.

It is verified against a pre-registered two-platform calibration protocol: a fixed neutral creative is delivered to every audience, and the simulated click-through ranking is correlated against each audience's known propensities. Audiences that should click more do click more in the simulation, and creative quality measurably moves outcomes. VERIFIED

No, and we won't pretend otherwise. The verification above establishes internal believability — differentiated, propensity-ordered, literature-consistent outputs — which is verified in simulation. Absolute real-world accuracy, meaning whether your ad hits exactly this CVR, can only be settled by live field data, and empirical field calibration is part of the ongoing program.

Treat forecasts as a rigorous planning and comparison tool — which audience, channel, and creative should I bet on, and roughly what should I expect — not as a guarantee of specific dollar outcomes.

Yes. Every simulation is seeded: the same inputs produce the same forecast, run after run, so you and a colleague can check each other's numbers exactly. Change any input — copy, audience, budget, channel — and the forecast changes for a reason you can point to.

No. Every simulated buyer is synthetic, and every simulated response is generated from our proprietary audience profiles and cognitive architecture — not from tracking data, purchased data, or any individual's records. Nothing about real people enters or leaves the system.

Remarkably little. The whole system — engine, audience libraries, web UI — is dependency-free by design. If you can use a web form, you can run a simulation.

Yes — three JSON endpoints:

Everything the web wizard does, the API does, so Mimic drops into your own planning tools.

The engine ships with a 101-test automated harness covering every layer: audience schema integrity, population verification — a generated crowd is checked against its own segment-mix, behavioral-mean, and trait-correlation targets — action-model properties, targeting math, and end-to-end API smoke tests. Alongside it runs a standing calibration verification script that re-runs the two-platform protocol against the engine. VERIFIED

Cross-channel attribution for blended ads — multi-touch versus adstock weighting — is a deliberately deferred modeling decision.

They change who is reachable and how many, but not how the simulated population behaves. Behavioral deltas by sex and geography are a v2 item.

Fine-grained local geography narrows the audience size estimate, but the behavioral model runs at national composition in this version.

Search, email, and influencer CPMs are not sourced benchmarks. Sanity-check them against your own media costs before relying on the money figures. MODELED

Per the Nielsen Local TV Report 2024–25, with an expansion path to all 210 markets.