Proda

What it gives you: Store-by-store sell-through, on-hand inventory at each store, regional velocity rankings, promo lift, item-level performance, week-over-week trends.

Once we're plugged in, you can answer:

• Which of the ~400 Sprouts stores are your top 50 — and where do they cluster geographically?
• Which stores went out of stock this week, and how much sell-through did you lose before replenishment?
• Which DMAs are over-indexing? Where should Matthew prioritize in-store demos, sampling, and field marketing?
• Are reorders accelerating week-over-week, or flattening? Early warning on velocity decay before Sprouts considers cutting facings.
• For any promo or buy-down: was it actually profitable per store, or did you just pull volume forward?
• Which flavors have the strongest sell-through in which regions — feeds straight into production planning and the next flavor launch order.

Bottom line: with Sprouts data flowing daily, you stop reacting to last month's velocity report and start managing each store like its own P&L.

What it gives you: Detailed sales by ASIN, search-term to conversion mapping, Subscribe-and-Save behavior, Buy Box win rate, detail-page views, replenishment forecasts.

Once we're plugged in, you can answer:

• Which Amazon search queries actually convert into Proda sales — vs just driving impressions you're paying for?
• What's your real Subscribe-and-Save penetration? That's the metric that predicts long-term Amazon revenue.
• Are you losing the Buy Box on any SKU to a 3P reseller? That's silent margin leakage.
• Which detail pages have weak view-to-cart conversion — meaning the listing or imagery needs work?

What it gives you: Distributor-level sell-in vs sell-through, by retailer chain, by region, by week.

Once we're plugged in, you can answer:

• Where is your inventory sitting in distributor warehouses unsold? (Write-down risk.)
• Which retailers placed orders but aren't selling through — predicts which doors are at risk of being cut.
• When you expand beyond Sprouts, this becomes essential to manage cash and avoid getting stuck with stale inventory at distributors.

What it gives you: Category-level sales across measured retail, market share, head-to-head competitor benchmarking.

Once we're plugged in, you can answer:

• What's the total $ size of the protein soda + functional beverage category by region?
• Your share vs Olipop, Poppi, OWYN, Recess across measured retail.
• Honest take: most useful when you're $10M+ in revenue and pitching new retailers. For a brand at Proda's stage, the scraping layer below covers most of what SPINS would tell you. Skip until a buyer asks for the report.

What it gives you: Same store-level intelligence as Sprouts, multiplied across every retailer you launch into.

Once we're plugged in, you can answer:

• Cross-retailer comparison: "Cherry Lime is your #1 at Sprouts but #4 at Whole Foods — why?"
• Which retailer profile (natural-channel, conventional, club, mass) is the right next move based on actual velocity patterns, not gut feel.
• Negotiation leverage on every category review — you walk in with their own numbers organized better than they have them.

What we capture: Best Seller Rank, price changes, review velocity, A+ content updates, Q&A activity, image and video changes — for every competitor SKU you name.

What you can now answer:

• "Olipop dropped Cherry Vanilla price by 12% on Tuesday — should we match?"
• "Poppi's review velocity tripled this month — what changed in their listing?"
• "Our Cherry Lime BSR slipped 7 spots after the Olipop launch — how much real demand are we bleeding?"

What we capture: Exactly which Sprouts stores carry Proda, week over week. Net new doors, lost doors, regional concentration.

What you can now answer:

• "How many of the 400+ Sprouts stores actually have us this week vs last week?"
• "Which regions are gaining distribution and which are quietly losing it?"
• "Are we expanding store count alongside velocity — or is one outpacing the other?"

This is a question Sprouts can't easily answer for you in real time. We can.

What we capture: Every active ad Olipop, Poppi, OWYN, Recess (or any competitor you name) is running on Meta. Active-ad count over time as a proxy for spend velocity. Creative themes, audience signals, what they're testing.

What you can now answer:

• "Which competitor just tripled their ad spend — and on which message?"
• "What creative angles are competitors testing right now that we should learn from?"
• "Are competitors going hard on the protein angle, the sugar-free angle, the lifestyle angle? What's the white space we own?"

What we capture: Every new review on your SKUs and competitor SKUs. Sentiment, complaint themes, flavor preferences. AI-summarized into "what people love and hate" by brand.

What you can now answer:

• "What complaints are showing up on Olipop that we don't have — what's our positioning angle?"
• "Which Proda flavors are getting glowing reviews vs lukewarm — predicts retail velocity 4-6 weeks before it shows up in sell-through."
• "Are people comparing us to a specific competitor in their reviews? That tells us who our real frame-of-reference is."

What we capture: Search volume for category terms ("protein soda," "sugar free soda," "healthy soda"), competitor brand terms, your own branded search velocity.

What you can now answer:

• "Is the protein-soda category itself growing — or just shifting share between brands?"
• "How fast is unaided demand for 'Proda' growing? Are PR moments and ads creating real branded interest?"
• "Which competitor brand terms are spiking — early signal of a marketing push we should be aware of?"

What we capture: Organic mentions of Proda (and competitors) across Instagram and TikTok. UGC volume, creator pickup, viral content tracking, sentiment.

What you can now answer:

• "Which creator just posted about Proda unprompted — and is that worth a partnership outreach?"
• "Did the Sprouts launch generate the social buzz we expected?"
• "Which competitor is winning on TikTok creator content — is there a creator playbook to copy?"