Frequently Asked Questions

Omniscia scores your ad creatives before you launch. Upload a video ad set and the platform analyses visual diversity, hook structure, audio patterns, narrative angles, and format mix — then tells you exactly which creatives are too similar, which categories are weak, and what to fix.

It works across Meta, Google Ads, and TikTok. Every analysis feeds into Cortex, our intelligence engine, which correlates creative scores with real ROAS, CTR, and CPA data from linked campaigns. Helix, the 5-layer trend model, reads emerging pattern shifts across the network so you can see what's moving before it shows up in your own ad manager. The result is a closed-loop flywheel: every analysis, every linked campaign, and every user on the network sharpens the model for everyone. No other platform combines pre-launch creative scoring, cross-platform intelligence, ML-driven trend analysis, and real performance correlation in one system.

Omniscia supports MP4, MOV, AVI, and WebM. Videos can be any length — frames are extracted more densely in the first 6 seconds (the hook zone) since that's what matters most for ad performance. No minimum or maximum duration requirement.

Upload all the creatives you plan to run together in the same campaign or ad set. The minimum is 2 files, and the maximum depends on your plan: 5 on Trial, 15 on Starter, 25 on Pro, and 30 on Agency. Research shows 5–15 creatives is the optimal range. Fewer than 5 limits a platform's ability to find winners, while more than 15–20 causes creative dilution. For most advertisers, 8–12 diverse creatives is the sweet spot.

Most analyses complete in 1–3 minutes depending on the number and length of your videos. Frame extraction and AI visual analysis are the most time-intensive steps. All plans include priority processing for faster results.

Your ad set is scored across 6 categories: Visual Diversity, Hook Variety, Angle Coverage, Format Mix, Audio Diversity, and Text & CTA Variety. Each category scores 0–10. The weighted average gives your overall score. Default weights are 25%, 20%, 20%, 15%, 10%, 10%.

Those defaults are just the starting point. As users link real campaign data, Cortex learns which categories actually correlate with ROAS and replaces the defaults with empirical weights. Visual fingerprinting uses CLIP 512-dim embeddings to compare creatives at a perceptual level, not just pixel similarity. Your score is also ranked against the network — you'll see your percentile position (e.g. "Top 22% of the network") so you can see where you stand relative to other analyses. Scores of 7.0+ are considered good. Below 5.0 means significant clustering risk.

Effective creatives is the number of truly unique ads in your set after removing near-duplicates. Meta's Andromeda algorithm assigns a Creative Similarity Score to every ad in your account. When it detects creatives that share visual style, hook structure, or audio patterns, it groups them under a single Entity ID. Clustered ads compete for the same audience segment — you're paying multiple times to reach the same people. Ads with a similarity score above 60% trigger delivery suppression. You could launch 20 creatives and see only 5–6 get meaningful impressions.

For Meta analyses, Omniscia estimates how many Entity IDs Andromeda is likely to assign your ad set based on hook-fingerprint similarity and visual clustering inside your upload. The Andromeda Insights panel shows the estimated Entity ID count, hook fingerprint analysis (Andromeda weights the first 3 seconds disproportionately), branch coverage (which creative dimensions you've covered vs. where you have gaps), and a Readiness Score measuring how well your set aligns with Andromeda's delivery requirements.

The similarity matrix compares every pair of videos in your set across visual, audio, and hook attributes. Each cell shows a combined similarity score from 0 (completely different) to 1 (nearly identical), weighted 45% visual, 30% audio, and 25% hook similarity.

Pairs above 0.7 are flagged red — these videos will likely be clustered by ad platforms, meaning they compete for the same audience instead of expanding your reach. The matrix also explains why each pair is similar. Click any cell to see a detailed side-by-side comparison.

Every Lens analysis can include your landing page URL. Omniscia scrapes the page for offers, urgency signals, trust indicators, social proof, and CTA verbs — then scores how well your ads align across 5 dimensions: headline match, offer alignment, CTA verb alignment, urgency alignment, and trust signal coverage.

If your landing page has a "20% off first order" offer but none of your ads mention it, you'll know. Each analysis creates a persistent snapshot, so you can track how alignment changes over time. Ad-to-LP alignment is one of the tighter correlations in Cortex data — when the ad and page don't tell the same story, post-click conversion usually takes the hit.

Each recommendation tells you what's wrong, which video is affected, how to fix it, and the expected score shift. When Cortex has enough data, recommendations also show the ROAS change observed on linked accounts that fixed the same category — a reference point from real data, not a promise about your result.

Recommendations are ranked using a Thompson Sampling multi-armed bandit. When Cortex data is available, the bandit prioritises fixes with the strongest historical impact on linked campaigns — not just the largest score gap. Start with critical recommendations (red) first — these are similarity flags that indicate wasted budget. Then work through warnings (yellow) and suggestions (blue). Re-upload your revised set and compare scores. Aim for 7.0+ overall before launching.

Cortex is Omniscia's intelligence engine. It aggregates data across 4 tiers: platform metrics (ROAS, CTR, CPA from Meta, Google Ads, TikTok), creative analysis outputs (scores, attributes, similarity), ML model outputs (fatigue risk, trend analysis, weight calibration), and external signals (market trends, competitor activity). Each linked campaign contributes ~80 data columns to the model.

Cortex retrains weekly. Every user's anonymised data sharpens the model for everyone on the network — that's the network-effect flywheel. Your percentile benchmarks ("Top 22% of the network") are computed against the full Cortex dataset. The Cortex dashboard shows every learning event, weight adjustment, and correlation discovery. Data quality safeguards include minimum $50 spend, 7-day minimum duration, outlier trimming, SHA-256 deduplication, and statistical significance filters.

After 30+ linked campaign-analysis pairs, Cortex switches to personalised weights: 70% your data, 30% global. At that point, scoring, recommendations, and trend analyses are calibrated to your specific audience and creative patterns.

Helix is the 5-layer trend-analysis engine behind Signal. It's not a generic time-series model — each layer adds a distinct capability:

1. Quality weighting — prioritises high-reliability data sources
2. Adaptive smoothing — filters noise without lagging real shifts
3. Lifecycle curves — tracks how trends mature, peak, and decay
4. Cortex correlation — cross-references trend output against real ad performance
5. Macro context — factors in seasonality and market-level patterns

The result: Helix flags emerging patterns in the network before they show up in your own ad manager. Trends where the model's reading aligns with real Cortex-linked campaign data are marked separately, so you can weight what's supported by real performance over what's still pattern-level signal.

Omniscia reads the patterns that usually run ahead of fatigue — frequency creep, CTR decay, CPM inflation, engagement drop-off — and flags at-risk ads early. The model is a Random Forest (20-stump ensemble) trained on historical fatigue events across Meta, Google Ads, and TikTok. On accounts with enough linked data, flagged ads typically show clear fatigue inside 5–7 days, which gives you room to prepare replacements before performance drops. It's a pattern read, not a guarantee.

On top of that, survival analysis (Kaplan-Meier curves + Cox proportional hazards) estimates ad longevity — how many days of runway a creative has left before fatigue risk crosses the threshold. Works across Meta, Google Ads, and TikTok. Every fatigue event on the network feeds back into Cortex and sharpens the model for everyone.

When you publish an ad through Launch, Omniscia suggests budget and duration ranges based on your creative scores, historical performance on linked accounts, and Cortex pattern analysis. Budget priors use a Thompson Sampling multi-armed bandit: each bracket carries a probability distribution from observed outcomes, so suggestions are ranked by real historical performance — not rules of thumb.

Each creative needs roughly $50 and 7 days to produce a reliable read. The suggestions are structured around a platform's learning phase (~50 conversions/week) and flag clustering before you put budget behind ads that would cannibalise each other. When Cortex data is available, budget suggestions are calibrated to your account's specific performance patterns.

Signal is Omniscia's intelligence pipeline. It monitors 32+ curated sources — industry reports, platform announcements, market research, competitor moves — and distils them into actionable insights. Each insight is classified into one of 6 types: trend shift, market movement, platform update, competitive intelligence, creative pattern, and audience behaviour.

Multi-source consensus checking means Signal only surfaces insights confirmed by 2+ independent sources. Source reliability is tracked over time — sources that produce consistently accurate signals get weighted higher. Helix powers the trend-analysis layer, and Cortex-validated trends are cross-referenced against real ad performance data so you can separate signal from noise.

Forge is Omniscia's creative direction engine. It generates data-backed briefs from your Lens scores, Pulse trends, and linked campaign outcomes — synthesising Cortex insights, audience segments, and Signal trends into actionable creative directives with clear rationale. Rather than generic templates, Forge produces direction grounded in your specific performance data. Forge feeds structured context directly to Scia, so your AI strategist's recommendations are always informed by fresh creative direction. Available on all plans.

Vault is your analysis history, consolidated under Lens in the sidebar. Organise analyses into folders, search by name or date, sort by score or recency, and perform batch operations (delete, move, export). Pin important analyses for quick access. Available on all plans.

Omniscia Nexus unifies Meta, Google Ads, and TikTok into a single Cortex model. Creative fingerprinting matches the same ad across platforms automatically using perceptual hashing + CLIP 512-dim embeddings. If you run the same creative on Meta and TikTok, Cortex recognises it as one asset and correlates performance from both platforms.

This means your scores, fatigue-risk flags, and recommendations draw on cross-platform data. A creative fatiguing on Meta might still have runway on TikTok — Cortex catches that. One intelligence model, three platforms, zero manual mapping.

Yes — and it's where Omniscia gets powerful. Connect Meta, Google Ads, or TikTok and the platform correlates your creative scores with real ROAS, CTR, CPC, and spend data. This feeds Cortex, so category weights adapt to what actually moves performance for your audience, recommendations are ranked by historical impact on linked accounts, fatigue-risk detection compares new ads against your own fatigued creatives, and trend analyses calibrate to your account.

Meta is available on all paid plans. Google Ads and TikTok require Pro+. After 30+ linked campaign-analysis pairs, you unlock personalised Cortex weights tailored to your specific performance patterns. Connect your accounts from Nexus.

Scia is Omniscia's AI creative strategist, available on all plans including the free trial. It knows your full analysis history, scoring patterns, and Cortex intelligence data. Forge builds creative direction briefs from your real performance data, so Scia gives specific, data-grounded recommendations — not generic advice. Ask it questions like "What should I change in my next ad set?" or "Which of my angles perform best?"

Yes. Agency includes full API access (1,000 req/hr) — pull scores, reports, fatigue data, trends, and competitor intelligence into your own tools. API keys support read-only and read-write scopes for programmatic analysis submission, campaign management, and Scia queries.

Authenticate with an API key (generated from your Profile page) via the X-API-Key header. Keys support separate read and write scopes, and you can generate up to 10 active keys per account.

Each plan includes monthly credits. Credits are used for video analysis (10 credits each), image analysis (2 credits each), and Intel deep analysis (10 credits each). Everything else — Scia, Forge, Signal, ad set compositions, Launch — is unlimited. Your credits reset each calendar month.

Trial: 300 credits, Starter: 300, Pro: 1,500, Agency: 15,000. If you run out, you can purchase top-up packs or overage credits at your plan's rate — or upgrade for more included credits.

Trial (free, 14-day Starter trial, no card required). 300 credits, 15 ads/set, 5 Intel brands. Full Starter access during the trial — every product unlocked, including Google Ads, TikTok, Slack, Cortex Simulator, Scheduled Reports, and Priority Processing.

Starter ($99/mo). 300 credits/month, 15 ads/set, 5 Intel brands. All features unlocked.

Pro ($299/mo). 1,500 credits/month, 25 ads/set, 12 Intel brands. All features unlocked.

Agency ($1,499/mo). 15,000 credits/month, 30 ads/set, 40 Intel brands, 15 seats ($79/extra). All features plus enterprise: team sharing, white-label, API, bulk upload, dedicated support, auto top-up.

Annual billing saves 20% across all paid tiers.

Team collaboration is available on Agency plans. Create a company from your Profile page and invite team members with granular roles: Owner (full control), Admin (manage members, approve reports, configure white-label), Editor (run analyses, submit for review, comment), and Viewer (read-only access).

Editors can submit reports for approval before they go to clients. Admins and owners review from the Approvals queue. Anyone on the team can comment directly on reports. You can also share individual reports via a public link. Agency includes 15 seats ($79 per additional).

Agency plan users can fully rebrand Omniscia's reports with their own identity — brand name, logo, primary colour, and footer text. These apply to shared report pages, PDF exports, and custom reports. You can optionally hide all Omniscia branding entirely, so everything looks like it came from your own platform. It's built for agencies who share reports with clients.

Yes. Go to Profile > Change Plan to upgrade, downgrade, or cancel at any time. Upgrades take effect immediately — you pay the prorated difference and get a proportional share of the new tier's analyses. Downgrades and cancellations are scheduled for the end of your current billing cycle. Refunds are not available — see our Refunds Policy for why — so we recommend the 14-day free trial first, and starting on a lower tier when you do subscribe.

Your uploaded content is encrypted and stored on secure servers, used only for your analysis and playback. Only you (and your team members on a team plan) can view your uploads — no Omniscia staff have access to your raw creative files. Content can be deleted at any time from Lens, and deletion is permanent and immediate. We never use your video or image content for training or share it with third parties.

When you link ad performance data to an analysis, only the AI's analytical outputs are stored separately to train Cortex — things like classified creative attributes ("visual style: UGC", "hook type: question") and aggregated performance metrics. No video frames, audio, images, transcripts, or personal information is ever included. This anonymised data persists after account deletion to preserve model integrity but contains zero identifiable content.

AI providers (Anthropic Claude, Google Gemini, OpenAI Whisper) process your content via zero-retention API calls — they do not store or train on your data. For full details, see our Trust & Security page and Privacy Policy.

Most tools tell you what happened. Omniscia tells you what's happening — the creative that's fatiguing, the audience you're doubled up on across Meta and TikTok, the score that's drifting while CPA still looks fine. Not a prediction engine. A closer read of the data you already have. Here's what sets it apart:

• Pre-launch creative scoring — scores ad sets before you launch, not after.
• Network-effect intelligence — every user's anonymised data sharpens the model for everyone on the platform.
• Percentile benchmarks — know where you rank ("Top 22% of the network"), not just your raw score.
• Real performance correlation — Cortex learns from actual ROAS, CTR, and CPA. Not AI opinions. Real numbers.
• 5-layer Helix trend model — a purpose-built pattern engine, not a generic time-series model.
• Cross-platform intelligence — Meta + Google Ads + TikTok unified in one model. One creative, three platforms, automatic matching.
• Cortex-validated trends — Signal trend output cross-referenced against real ad data so you can weight what's supported by real numbers.
• Closed-loop flywheel — every feature feeds every other feature. Analyses train Cortex. Cortex sharpens scoring. Scoring sharpens recommendations. Recommendations sharpen your next analysis.
• Fatigue-risk detection — ML surfaces the patterns that historically precede fatigue by 5–7 days on accounts with enough data. Prepare replacements, don't react.
• Personalised intelligence — after 30+ linked campaigns, Cortex calibrates to your specific audience and creative patterns (70% your data, 30% global).