Pre-Publish Testing

How a Media Network Saved $75K Before Spending $300K on Distribution

A media network was about to commit $300,000 to a documentary campaign. Before they spent a rupee on distribution, they uploaded the trailer to Vidopix. What Pixi found changed everything.

98%
Prediction accuracy
$75K
Saved in wasted spend
3×
Performance improvement
3 min
Analysis time
⚠
Pixi predicted 42% viewer drop-off at exactly 0:18 — a scene transition moving too fast for audiences to process.
✓
The creative team made a single $0 fix: slowed the transition by 0.5 seconds.
✓
Re-tested with Vidopix. Drop-off fell from 42% to 18%. They launched knowing it would work.
✓
Actual measured drop-off on launch: 43% at 0:19. Prediction accuracy: 98%.
Before vs. After
Original trailer · Drop-off
42% at 0:18s
After fix · Drop-off
18% ↓ 57% improvement
Pixi's exact prediction

"42% of viewers will drop off at 0:18 — the transition from opening scene to title card is too fast. Viewers need more time to process before the cut."

98%
Prediction
accuracy
$75K
Saved before
going live
Emotional Journey · 61s TVC
0–10s
Neutral → High Energy. Sets context but lacks an immediate hook to stop the scroll.
15–40s
⚠ Confusion Spike. Repetitive "What's the matter?" line creates confusion, not intrigue. Mid-section drop-off risk.
45–47s
Positive lift. Smile + Lucknow reveal create brief emotional peak.
50–55s
Weak close. No explicit CTA. Conversion intent score: 1/10.
Channel Recommendation

YouTube: High Fit — longer view tolerance suits story-building. Instagram Reels: Low-Medium — pacing too slow for swipe-feed.

Ad Effectiveness

Bikaji's Celebrity TVC: Strong Recognition, Weak Conversion — Fixed Before the Media Buy

Bikaji had Pankaj Tripathi. They had a ₹300K+ media budget lined up. What they didn't have was certainty that the creative would convert — not just get attention. Vidopix showed them exactly where it broke down.

8/10
Celebrity recall
1/10
CTA effectiveness
3×
Projected ROI lift
post-optimisation
✓
Celebrity affinity is strong — Pankaj Tripathi drives top-of-funnel trust and brand recall.
⚠
78% neutral emotion across the 61s ad — no emotional peaks strong enough to drive action.
⚠
Repetitive dialogue ("What's the matter?") confused viewers and diluted the core message.
✓
Five specific optimisations delivered before the media buy — including adding an explicit CTA and recutting the mid-section.
Consumer Research

5 YouTube Reviews. 12 Product Improvements. 3 Minutes.

Nykaa's Creamy Matte Lipstick had dozens of YouTube reviews sitting untouched — hours of real consumer insight that no team had time to synthesise. Pixi did it in 3 minutes and delivered a product strategy brief.

86.6
Avg sentiment score
12
Actionable recommendations
3 min
vs. 8–10 hrs manually
✓
4 key purchase drivers identified — affordability (₹299–₹329), Vitamin E formula, one-swipe pigmentation, colour-coded packaging.
⚠
4 pain points surfaced — transfer/smudging, centre fade on longer wear, shade perception vs. competitors.
✓
12 specific product and marketing improvements delivered — from formulation tweaks to shade architecture to packaging enhancements.
✓
What would take a research team 8–10 hours arrived in 3 minutes. Every insight traceable to a specific reviewer and timestamp.
Sentiment Across 5 Reviews
Avg Sentiment Score
86.6 / 100
Avg Trust Score
7.8 / 10
Positive Respondents
5 / 5
Avg Frustration Score
3.4 / 10 (Low)
Top purchase driver identified

"The ₹299–₹329 price point drives both trial and repeat purchase. Affordability is the primary entry signal — not shade range."

12
Recommendations
in 3 minutes
Engagement Prediction · 69s Reel
0s
Strong hook. "Free sit-down meal in Japan" — immediate value proposition stops the scroll.
33s
Credibility moment. Specificity builds trust — neutral to curious transition.
46s
Peak intent. "Top-tier cards offer complimentary access" — concrete benefit revealed. Positive spike.
57s
Clear CTA. "Follow for more travel hacks" — explicit instruction, neutral close.
Performance Forecast

Predicted 4,500–12,000 views. 180–400 likes. 30–120 new followers in travel-hack niche. High save/share rate due to actionable credit card hack.

Creator Intelligence

How a Travel Influencer Predicted 2–3× Engagement Before Hitting Post

A travel creator with 15k followers and ~200 likes per video wanted to know — before publishing — whether their Osaka airport Priority Pass reel was worth posting as-is, or needed work. Pixi gave them a full performance forecast in 3 minutes.

High
Hook strength score
4.5K–12K
Projected views
2–3×
Above baseline engagement
✓
Hook rated "High Strength" — "Free sit-down meal in Japan" creates immediate curiosity and stops the scroll.
✓
¥13,600 family saving made explicit — concrete value drives high save and share intent.
⚠
4 optimisation opportunities identified — thumbnail A/B test, hook text variants, and CTA timing adjustment.
✓
Creator published with confidence. Performance matched the forecast band. No guesswork.

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