<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Case Study: Driving FMCG Sales with JioStar During IPL 2025]]></title><description><![CDATA[<p dir="auto"><strong>Executive Summary</strong></p>
<p dir="auto">FMCG brands that advertised on JioStar during TATA IPL 2025 delivered a +5.7% average sales uplift across 4,400+ stores, 40+ brands, and 15 categories (Aintu Inc. study). Performance improved with cross-screen mixes (TV + digital), higher investment tiers, and richer formats (video + display). The findings position JioStar’s IPL inventory as a scalable sales-activation lever, not just a reach vehicle.</p>
<p dir="auto"><strong>Business Objective</strong></p>
<p dir="auto">Convert seasonal IPL reach into measurable store-level sales for FMCG portfolios while identifying the optimal media mix (screen, spend tier, and format) to guide future playbooks.</p>
<p dir="auto"><strong>Context &amp; Challenge</strong></p>
<ul>
<li>
<p dir="auto">IPL spikes attention but fragmentation (TV vs. digital, urban vs. rural, modern trade vs. GT) makes it hard to tie ads to scans.</p>
</li>
<li>
<p dir="auto">Marketers need proof of incrementality beyond vanity metrics and a mix model that scales across categories.</p>
</li>
</ul>
<p dir="auto"><strong>Intervention</strong></p>
<p dir="auto">Brands ran IPL-timed campaigns on JioStar with varied mixes:</p>
<ul>
<li>
<p dir="auto">Screens: TV only vs. Digital only vs. Cross-screen</p>
</li>
<li>
<p dir="auto">Formats: Video only vs. Video + display</p>
</li>
<li>
<p dir="auto">Spend tiers: ₹10 cr+ vs. sub-₹10 cr</p>
</li>
</ul>
<p dir="auto"><strong>Measurement Design (Abridged)</strong></p>
<ul>
<li>
<p dir="auto">Sample: 4,400+ stores; 40+ brands; 15 FMCG categories</p>
</li>
<li>
<p dir="auto">Windows: Pre-IPL baseline → IPL flight → short tail</p>
</li>
<li>
<p dir="auto">Method: Matched-store comparisons and pre/post analysis controlling for seasonality; category and region fixed effects to reduce noise</p>
</li>
<li>
<p dir="auto">Primary KPI: Value sales uplift (%) versus matched control</p>
</li>
</ul>
<p dir="auto"><em><strong>Note: As with all field studies, residual confounders (pricing, trade push, distribution changes) are possible; see Limitations.</strong></em></p>
<p dir="auto"><strong>Results</strong></p>
<p dir="auto"><strong>Headline Impact</strong></p>
<ul>
<li>+5.7% average value uplift across participating brands.</li>
</ul>
<p dir="auto"><strong>Mix That Outperformed</strong></p>
<ul>
<li>Cross-screen (TV + Digital): +6.3% vs Single screen: +5.3%</li>
<li>Higher investment (₹10 cr+): +8.4% vs &lt;₹10 cr: +4.9%</li>
<li>Video + Display: +7.2% vs Video-only: +5.5%</li>
</ul>
<p dir="auto"><strong>Category Notes (directional)</strong></p>
<ul>
<li>
<p dir="auto">Impulse and beverages saw faster week-1 response; home &amp; personal care built steadier, cumulative gains over the flight.</p>
</li>
<li>
<p dir="auto">Stores with digital-led audiences (higher app usage) showed stronger video+display responsiveness.</p>
</li>
</ul>
<p dir="auto"><strong>What Drove the Gains (Interpretation)</strong></p>
<ol>
<li>
<p dir="auto">Cross-screen coherence: TV builds mass salience while digital tightens recency and frequency near the point of purchase.</p>
</li>
<li>
<p dir="auto">Creative surface area: Adding display to video increases product reminders during consideration and replenishment cycles.</p>
</li>
<li>
<p dir="auto">Scale economics: Above the ₹10 cr threshold, brands reach sufficient weekly GRPs/Imps to sustain an always-on presence through the IPL calendar.</p>
</li>
</ol>
<p dir="auto"><strong>Commercial Implications (Back-of-Envelope ROI)</strong></p>
<ul>
<li>
<p dir="auto">If a brand’s IPL-period baseline sales are ₹100 cr, a +5.7% uplift ≈ ₹5.7 cr incremental.</p>
</li>
<li>
<p dir="auto">With ₹8 cr media: ROI = 0.71x gross.</p>
</li>
<li>
<p dir="auto">With ₹10 cr+ (avg. +8.4% uplift): incremental ≈ ₹8.4 cr; ROI = 0.84x gross.</p>
</li>
<li>
<p dir="auto">After trade margins and gross margin (e.g., 40–55%), several portfolios clear positive contribution when creative and retail activation are coordinated (bundles, shelf, coupons).</p>
</li>
</ul>
<p dir="auto"><em>Recommendation: model contribution ROI using brand-specific margins and pass-through; the media mix is close to break-even on gross and typically positive on contribution with in-store support.</em></p>
<p dir="auto"><strong>Playbook for IPL 2026</strong></p>
<p dir="auto"><strong>Mix &amp; Investment</strong></p>
<ul>
<li>
<p dir="auto">Anchor on cross-screen; resist TV-only or digital-only unless budget-constrained.</p>
</li>
<li>
<p dir="auto">Target ₹10–12 cr per core brand (or pooled by category) to hit effective weekly frequency.</p>
</li>
<li>
<p dir="auto">Use video + display; deploy display to sustain mid-flight reminders and last-mile nudges.</p>
</li>
</ul>
<p dir="auto"><strong>Audience &amp; Timing</strong></p>
<ul>
<li>
<p dir="auto">Front-load awareness in opening fortnight, then maintain steady weekly pressure; spike again in playoffs/finals.</p>
</li>
<li>
<p dir="auto">Layer retail media (Blinkit, Zepto, Amazon/Flipkart) to capture in-moment demand; synchronize price/promos.</p>
</li>
</ul>
<p dir="auto"><strong>Creative &amp; Merchandising</strong></p>
<ul>
<li>
<p dir="auto">Build two creative lines: (1) Mass salience (TV) and (2) Offer/variant reminders (digital/display).</p>
</li>
<li>
<p dir="auto">Mirror claims and packs on PDPs and store shelves; ensure consistent SKU/hero image and inventory in hot ZIPs.</p>
</li>
</ul>
<p dir="auto"><strong>Measurement</strong></p>
<ul>
<li>
<p dir="auto">Set up geo-split or matched-store tests with MMM/MTA overlays.</p>
</li>
<li>
<p dir="auto">Track incrementality by screen, format, spend tier, and retailer cohorts.</p>
</li>
<li>
<p dir="auto">Define safety KPIs: out-of-stock rate, price parity, and cost-to-serve during spikes.</p>
</li>
</ul>
<p dir="auto"><strong>Risks &amp; Limitations</strong></p>
<ul>
<li>
<p dir="auto">Attribution bleed from concurrent promotions or competitor moves.</p>
</li>
<li>
<p dir="auto">Distribution gaps can cap uplift even with strong media.</p>
</li>
<li>
<p dir="auto">Creative wear-out if weekly rotation is thin; plan 3–4 cutdowns and display variants.</p>
</li>
</ul>
<p dir="auto"><strong>Next Steps</strong></p>
<ol>
<li>
<p dir="auto">Pre-book cross-screen inventory and lock video + display bundles.</p>
</li>
<li>
<p dir="auto">Run a 2-cell experiment (cross-screen vs. single-screen) in matched regions.</p>
</li>
<li>
<p dir="auto">Integrate retail media and JioStar reporting into one incrementality dashboard.</p>
</li>
<li>
<p dir="auto">Align trade plans (fill rates, secondary visibility) to the media calendar to avoid stock-out drag.</p>
</li>
</ol>
<p dir="auto"><em><strong>One-Slide Summary (for leadership)</strong></em></p>
<ul>
<li>
<p dir="auto">Impact: +5.7% avg uplift (peaks: +8.4% at ₹10 cr+, +7.2% with video+display).</p>
</li>
<li>
<p dir="auto">Winner Mix: Cross-screen &gt; single screen; video+display &gt; video-only.</p>
</li>
<li>
<p dir="auto">So What: Treat JioStar IPL as a sales activation channel; pair with retail media &amp; shelf to convert reach to revenue.</p>
</li>
<li>
<p dir="auto">Do Next: Lock cross-screen, spend at scale, add display, run controlled tests, and tie to in-store execution.</p>
</li>
</ul>
<p dir="auto"><a href="https://www.medianews4u.com/fmcg-brands-see-5-7-sales-growth-from-advertising-on-jiostar-during-ipl-2025-report/" rel="nofollow ugc">Visit MediaNews4U</a></p>
]]></description><link>https://community.javis.ai/topic/149/case-study-driving-fmcg-sales-with-jiostar-during-ipl-2025</link><generator>RSS for Node</generator><lastBuildDate>Sat, 02 May 2026 19:51:29 GMT</lastBuildDate><atom:link href="https://community.javis.ai/topic/149.rss" rel="self" type="application/rss+xml"/><pubDate>Tue, 13 Jan 2026 05:11:05 GMT</pubDate><ttl>60</ttl></channel></rss>