54% of your content catalogue
gets under 100 views a month.
Upload subscriber data, ad revenue reports, or content analytics. Get churn root cause, ad viewability analysis, and content ROI intelligence in under 30 seconds.
₹82.9L/month
OTT ARR Recovery
Discovery + catalogue fix
₹1.3Cr/month
Ad Revenue Uplift
RPM ₹8.2 → ₹15.8
₹3.8L → ₹8.3L/month
YouTube Revenue
90-day plan
₹48L/year
Content Waste Cancelled
600 dead titles
Real Pain → AI Solves It
Your team faces these every week.
OpsOracle names them and fixes them.
Actual AI output from real media, OTT and digital publishing data. Upload your report and get this analysis in under 30 seconds.
The Pain
Our OTT platform has 2.1M subscribers but monthly churn is 8.4%. We're spending ₹2.8Cr/month on new content but top 10 titles account for 81% of watch time. CFO says content spend is too high but content team says we need more.
Raw data signal
Total subscribers: 2.1M | Monthly churn: 8.4% (176K subs) | ARPU: ₹149 | Monthly content spend: ₹2.8Cr | Top 10 titles watch time: 81% | Total catalogue: 3,400 titles | Titles with < 100 views/month: 1,840 (54%) | Avg session: 38 minutes | Churn cohort: 72% of churners watched < 3 titles in last 30 days | New content premiere views (week 1): avg 68K
OpsOracle AI Output
1,840 titles with < 100 views/month are consuming licensing and storage cost with zero engagement return. 72% of churners watched < 3 titles in their last 30 days — they didn't leave for competitor content, they left because OpsOracle didn't surface content they'd watch. The problem is discovery, not catalogue size. More content that nobody watches doesn't fix an engagement problem.
[THIS WEEK] Action
Immediate: cancel renewal of bottom 600 titles (< 50 views/month) — estimated ₹48L/year saving. Redirect ₹48L to content discovery engine: personalized 'What to Watch This Week' notification sent every Monday based on watch history. For 72% low-engagement churners: trigger a 'We picked 3 shows for you' email at day 21 of their subscription (before likely cancellation at day 30).
Expected impact: Cancel 600 titles saves ₹48L/year. Personalized discovery increases avg titles watched from 3.1 to 5.2 per month for at-risk cohort — reduces churn from 8.4% to 5.8% = 52,920 fewer churners/month × ₹149 ARPU = ₹78.8L ARR recovered monthly. Net: +₹82.9L/month on same content budget.
The Pain
Our digital news platform has 4.8M monthly unique users but ad revenue is ₹1.4Cr against an industry benchmark of ₹3.2Cr for our traffic level. Ad team says it's CPM rates but page RPM is only ₹8.2 vs industry ₹18.
Raw data signal
Monthly UVs: 4.8M | Ad revenue: ₹1.4Cr | Industry benchmark: ₹3.2Cr | Page RPM: ₹8.2 | Industry RPM: ₹18 | Avg session pages: 1.4 | Bounce rate: 74% | Ad viewability: 38% | Header bidding: No | Ad density: 2.1 ads/page | Page load time: 6.8 seconds | Mobile traffic: 84%
OpsOracle AI Output
Page RPM of ₹8.2 vs ₹18 industry = 54% revenue gap. Root cause: 38% viewability (industry norm 68%) means 62% of your ad impressions are never seen — advertisers pay CPM for eyeballs, not page loads. Page load time of 6.8 seconds on 84% mobile traffic means most ads load below the fold after the user has already scrolled past. No header bidding means you're leaving the highest bids on the table.
[THIS WEEK] Action
Priority 1: reduce page load from 6.8s to < 3s (lazy load images, defer non-critical JS) — viewability moves from 38% to 58%. Priority 2: implement header bidding (Google Ad Manager + Prebid.js — 3-week setup) — increases effective CPM by 35–60% through auction pressure. Priority 3: increase session depth from 1.4 to 2.2 pages with a 'Related Stories' module — doubles ad inventory per session.
Expected impact: Viewability 38% → 58% improves effective RPM by 53%. Header bidding adds 40% CPM uplift. Session depth 1.4 → 2.2 adds 57% more impressions. Combined: RPM from ₹8.2 to ₹15.8. Revenue: ₹1.4Cr → ₹2.7Cr/month. Gap to benchmark closes by 76% — all without any additional traffic.
The Pain
We have a YouTube channel with 1.2M subscribers and 4.8M monthly views but advertiser revenue is ₹3.8L/month. An influencer with 400K subscribers in our niche earns ₹9L/month. What are we doing wrong?
Raw data signal
Subscribers: 1.2M | Monthly views: 4.8M | Revenue: ₹3.8L | RPM: ₹7.9 | Content: 3 videos/week avg | Avg video length: 8.4 minutes | Watch time per view: 3.2 minutes (38%) | CTR: 3.1% | Niche: business and finance | Competitor: 400K subs, ₹9L/month | Competitor RPM est: ₹22.5 | Competitor avg length: 18 minutes | Sponsor deals competitor: 4 active
OpsOracle AI Output
Your competitor earns ₹22.5 RPM vs your ₹7.9 because: (1) they produce 18-minute videos — longer watch time = more mid-roll ads (each mid-roll requires 8+ min video minimum, 15+ min unlocks 2 mid-rolls). Business/finance niche commands 2.8× premium CPM vs general content — you're getting niche RPM for short-form inventory. (2) 4 active sponsor deals likely add ₹4–5L to their ₹9L/month. Your 3.8L is purely AdSense with no sponsorships.
[THIS WEEK] Action
Shift to 15–18 minute format for your top 5 topics (pick highest-view subjects). This enables 2 mid-rolls per video. At 4.8M monthly views × higher RPM with mid-rolls, estimated RPM increases from ₹7.9 to ₹14.2. Simultaneously: pitch 3 finance brands (Zerodha, ET Money, Groww) for dedicated sponsorship spots — ₹1–2.5L per integration. Start with 1 per month.
Expected impact: Format switch: RPM ₹7.9 → ₹14.2 = revenue ₹3.8L → ₹6.8L/month. One sponsorship at ₹1.5L/month = ₹8.3L total. Reaching competitor's ₹9L is achievable in 90 days without buying a single subscriber.
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