Brand‑Safe Synthetic Data for Agencies
Train creative, strategy, and media ops copilots without exposing client data. Generate realistic, compliant datasets that mirror your work: briefs, assets, campaign results, and reporting.
Creative & Copy Corpora
Synthesize brand‑safe versions of briefs, style guides, ad variants, content calendars, and QA annotations to pretrain your internal copilots.
Campaign & Analytics Realism
Generate multi‑table, time‑series datasets that look like real Meta/Google/TikTok campaigns, GA events, CRM stages, and ROAS cohorts—without PII.
Privacy by Design
Differential privacy, template‑level redaction, k‑anonymity, and channel‑specific masking. Ideal for client approvals and legal review.
What Agency Data Do We Synthesize?
- Ad campaign logs by channel (Meta, Google, TikTok): impressions, spend, CPC/CPA, creative IDs, ad set structure.
- Web analytics events (GA‑style): sessions, sources/mediums, goals, funnels, UTM breakdowns.
- CRM pipelines: MQL → SQL → Opportunity stages with timestamps and revenue attribution.
- Content assets: briefs, headlines, long‑form copy, alt text, brand voice tokens, editorial calendars.
- QA checklists and annotations: brand compliance notes, accessibility checks, campaign launch runbooks.
- Client reporting artifacts: weekly rollups, commentary, anomaly explanations, next‑action plans.
Workflows This Unlocks
- Train a brand‑specific creative copilot on synthetic briefs and past work (no client data required).
- Validate your reporting stack end‑to‑end using realistic, high‑variance synthetic traffic and campaign data.
- Build a media QA bot that flags pacing, naming, UTM, and budget allocation issues before spend is wasted.
- Rapid pitch personalization: synthesize vertical‑specific decks and case‑study patterns aligned to your voice.
- Design SKUs and guardrails for productized services using synthetic workload simulations.
How It Works for an Agency
1) Seed & Templates
We start with empty templates or a small, redacted sample. Define schemas by channel (ads, web, CRM, content) and brand voice tokens.
2) Generate & Balance
Produce statistically realistic, multi‑table datasets with edge cases, seasonality, and anomalies for robust model behavior.
3) Validate & Approve
Apply differential privacy tests, redline sensitive fields, and route for client/legal review. Then ship to training or QA sandboxes.
Compliance & Client Safety
- PII never required: we operate on redacted schemas or synthetic seeds.
- DP, k‑anonymity, and channel‑aware masking configurable per client contract.
- Clear review artifacts for brand, legal, and security sign‑off.
Representative Agency Use Cases
- Multi‑location retail: simulate store‑level lift and local campaign mix.
- DTC ecommerce: model SKU‑level cohorts, LTV, and attribution scenarios.
- SaaS: synthesize trial → paid funnels with product telemetry rollups.