Foreplay
Swipe library plus competitor research via Spyder. The inspiration standard.
You're a creative researcher whose process starts with browsing inspiration and competitor ad libraries, and you live on Chrome and mobile.
Foreplay is the swipe-file standard for creative researchers. Save winning ads, organise inspiration boards, and track competitor activity via Spyder. Its strength is research and inspiration; analytics and per-account scoring sit elsewhere. Omniscia takes the swipe one step further: every creative you analyse gets scored, fingerprinted, and read against your own performance data, and competitors monitored in Intel are scored on the same scale, so you compare apples to apples.
Moving from swipe-only into analytics with the Lens Analytics product. Track closely.
Swipe library plus competitor research via Spyder. The inspiration standard.
You're a creative researcher whose process starts with browsing inspiration and competitor ad libraries, and you live on Chrome and mobile.
The closed loop that turns inspiration into scored, performance-correlated creative.
You want the swipe to flow into actual scoring against your own performance data. Foreplay's Lens Analytics is new and does not yet correlate against your Meta, Google, and TikTok results. Omniscia scores every creative, fingerprints it across platforms, and lineages it to the brief that produced it.
An honest read on what Foreplay genuinely does better than Omniscia today. Verified against their homepage on 2026-04-26.
Only the rows where capability differs are shown. Parity rows are hidden. See the full comparison for everything.
Reads on creative quality before any budget is spent.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Pre-launch creative scoring (6-cat + clustering)Visual diversity, hook variety, angle coverage, format mix, audio diversity, text and CTA. Scored before any spend. | ✓ | — |
| Cross-platform creative fingerprinting (same creative across Meta, Google, TikTok)Auto-link the same creative running on Meta, Google, and TikTok via perceptual hash + audio fingerprint + CLIP embedding. | ✓ | — |
| Audio MFCC fingerprint clusteringSonic similarity across an ad set surfaces sound-driven clustering Meta delivery is sensitive to. | ✓ | — |
| CLIP visual similarity matrix512-dim ViT-B-32 embeddings per keyframe (24 keyframes per video); cosine similarity matrix flags overlap before delivery throttles it. | ✓ | — |
| Hook-section fingerprinting (first 3 seconds)Hook frames pinned and analysed as one block. The first 3 seconds drive Meta Andromeda audience matching, so hook-section fingerprints flag repetition the algorithm punishes. | ✓ | ◐Lens hook transcription |
| Network percentile benchmarks (your score vs network and vertical)Percentile rank (0 to 100) against the network and your vertical, surfaced inline on every score so a number is never read in isolation. | ✓ | — |
| Sample-size + confidence inline on every readEvery forward-looking number names the N and confidence band that produced it. No hand-waved ROAS lifts. | ✓ | — |
| Landing page alignment (5-dimension scoring)Scores ad message vs landing page across headline match, CTA verb alignment, offer alignment, urgency alignment, tone match, and trust signal coverage. Surfaces missed-opportunity callouts when LP signals are absent from ad copy. | ✓ | — |
Reading what shipped, across Meta, Google, and TikTok.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Cross-platform unified (Meta + Google Ads + TikTok native)One model reading all three platforms; not three siloed dashboards stitched together. | ✓ | ◐ |
| Survival-analysis fatigue prediction (Cox PH model)Multi-day lead time on fatigue risk, modelled per asset and per platform. | ✓ | — |
| Cross-platform ROAS / CTR / CPA pattern analysis with confidenceRead patterns across Meta, Google, and TikTok with sample-size and confidence shown alongside. | ✓ | — |
| Per-creative performance read (spend, impressions, longevity)Asset Impact panel surfaces per-creative spend, impressions, and longevity inside each campaign on Meta and Google — which variant kept earning impressions, which one stalled. TikTok per-creative breakdown is not yet wired in by sync. | ◐Meta + Google | — |
AI strategist + data-backed briefs + trend extraction.
| Capability | Omniscia | Foreplay |
|---|---|---|
| AI strategist with full data context (Scia)Chat assistant that sees every Lens score, every Nexus correlation, every Intel finding for your account. | ✓ | — |
| Data-backed brief generation (Forge directives)Briefs cite the campaigns, scores, and competitor reads that produced them, with confidence inline. | ✓ | ◐AI brief writing |
| Creative lineage / ancestry trackingGenealogy DAG linking iterations of the same idea; see which ancestor variant carried the win. | ✓ | ◐manual board threading |
| Real-time trend feed + Helix 5-layer extraction32+ source feed (research, ad libraries, social, news) with a 5-layer extractor for hook / format / angle / sonic / cultural trends. | ✓ | ◐inspiration feed |
Watching the rivals, on the same scoring scale as your own work.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Competitor monitoring + scoring on the same scaleWatched brands run through the same Lens scoring you use on your own creatives. Apples to apples. | ✓ | ◐Spyder |
| Performance tier inference from ad longevityIndustry-standard proxy: longer-running ads in a competitor library are typically the winners. Surfaced as tiers, never invented ROAS. | ✓ | ◐duration shown, no scoring |
Models that retrain on your account, not just industry averages.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Per-user Cortex retraining (private weights)After 30+ linked campaign-analysis pairs, your weights start retraining off your own outcomes and drift from the global defaults — up to a 30% shift per recalibration cycle. Private to your account. | ✓ | — |
Publishing, governance, white-label, scheduled reports.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Cross-platform publishing (Meta + Google + TikTok)Push approved ads to all three platforms with Cortex-informed priors. | ✓ | — |
| Approval workflow + team governanceReviewer queue, audit trail, role-based permissions, agency-multi-client mode. | ✓ | ◐ |
| White-label + public API + scheduled reportsBrand the dashboard, hit the v1 API, send weekly PDF reports to clients on a schedule. Agency-tier. | ✓ | ◐public API for ad data |
Where competitors lead. Generation, swipe libraries, editors, creator marketplaces are not the lane Omniscia plays in.
| Capability | Omniscia | Foreplay |
|---|---|---|
| Swipe-file inspiration libraryA curated library of winning competitor ads to riff on. Foreplay and MagicBrief lead; Omniscia treats inspiration as a research input, not a stored library. | — | ✓category standard |
| Large curated reference ad library (10M+ ads)A searchable corpus of historical ads to browse, save, and reference. MagicBrief leads with 12M+ ads. Omniscia surfaces competitor activity through Intel rather than storing a static library. | — | ✓107M+ ads (54M live) |
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