Dec 2025 - Jan 2026 Sales Performance Dashboard
Black Buddha NJ productId-Level Performance | Dec 2025 - Jan 2026
| Rank | Product Name | Size | Units Sold | Revenue | Weekly Velocity | Contribution % | Dec→Jan Growth |
|---|
1g Pre-Roll vs 3.5g Flower Analysis | Units, Revenue & Velocity Metrics
Velocity measures how fast a product sells, expressed as units sold per week. It's the single most important demand signal in cannabis retail.
For Dec 2025 - Jan 2026: 8 weeks (Dec 1, 2025 - Jan 31, 2026). A product that sold 130 units has velocity of 10 units/week.
Price-Velocity Relationship | Optimal Pricing Bands | Over/Under Performers
Interpretation: For every $1 increase in 1g price, velocity changes by -0.18 units/week. The weak R² means price explains only 3.2% of velocity variation—strain/brand matters more than price.
Interpretation: For every $1 increase in 3.5g price, velocity changes by 0.00 units/week. Product quality and strain reputation drive sales more than price point.
| Product Name | Size | Avg Price | Weekly Velocity | Expected Velocity | Performance |
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| Product Name | Size | Avg Price | Weekly Velocity | Expected Velocity | Performance Gap |
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More stores = more velocity. Target stores where similar products perform well. Impact: Each new store can add 2-5 units/week to total velocity.
Eye-level placement, end-caps, and point-of-sale positioning dramatically impact velocity. Action: Negotiate better placement with top-tier stores first.
Budtenders drive 60-70% of purchase decisions. Action: Product training sessions, sample programs, and incentive spiffs increase recommendations.
Price within the optimal band ($10-13 for 1g, $30-38 for 3.5g). Caution: Deep discounts boost short-term velocity but train customers to wait for sales.
The $10-13 band offers best balance of velocity with margin. Most 1g SKUs priced $13-16 see velocity drop-off.
This band delivers highest velocity. Products priced $45+ see significant velocity reduction. Consider repositioning premium strains.
Products significantly outperforming price expectations should receive increased distribution and visibility.
SKUs with velocity <50% of expected should be evaluated: price reduction, reformulation, or discontinuation.
Flower ($34-$46) & Pre-Roll ($11-$16) Price Tiers | NJ Market Analysis
Within ±1 Standard Deviation Price Tier | Flower: $34-$46 | Pre-Roll: $11-$16
BB Flower Revenue: $410,791 | Rank #20 of 227 brands in tier
These brands rank higher than BB in the $34-$51 tier
Upper half of tier with room for quality positioning:
Underserved segment with room to capture share:
Focus on outpacing competitors in the $34-$51 tier with targeted promotions and increased distribution.
BB must increase volume significantly or differentiate on premium positioning to compete effectively.
Monitor competitor pricing and promotions. React quickly to competitive pressure in key accounts.
Invest in strain exclusivity, packaging, and budtender education to justify premium positioning.
PPI Scoring | Value Analysis | Strategic Repositioning Opportunities
The Price-to-Performance Index (PPI) measures how well each SKU balances pricing strategy with market performance. Higher scores indicate better overall value delivery.
What it measures: How close the SKU's price is to the market tier average (±1 SD).
Why 30%: Price is important but not dominant—consumers accept price variance for quality. This weight rewards competitive pricing without penalizing premium positioning too heavily.
What it measures: How fast the SKU sells relative to the best performer in its size category.
Why 35%: Velocity indicates consumer demand and shelf efficiency. High velocity = faster inventory turns, lower holding costs, and proven market appeal.
What it measures: The SKU's total revenue contribution relative to the top earner in its category.
Why 35%: Revenue is the ultimate business outcome. This weight ensures we prioritize SKUs that actually drive the top line, not just those that are "efficiently priced."
Combined formula:
High-performing SKUs priced below tier average. Consider price increases.
SKUs priced significantly above tier with lower performance.
Your top PPI products are proven winners. Expand distribution to more stores, negotiate better shelf placement, and protect pricing—don't discount these.
These SKUs are close to top performance. Small improvements in velocity (more visibility) or price optimization can push them into the top tier.
Determine if the issue is price (too high?), placement (wrong stores?), or product (strain appeal?). Run targeted promotions to test demand elasticity.
Products scoring below 40 consume resources without adequate return. Discontinue or deeply discount to clear inventory and focus on winners.
Retail Partner Analysis | Dispensary Performance by SKU Size | Dec 2025 - Jan 2026
Store Velocity = Total units sold at that store ÷ 8 weeks. It measures how productive each retail partner is for Black Buddha products.
High Velocity Store (>50/wk): Strong demand, good placement, educated staff. Protect this relationship.
Medium Velocity (20-50/wk): Potential for growth. Investigate barriers—assortment, placement, or staff training.
Low Velocity (<20/wk): Underperforming. May need promotional support or product mix adjustment.
| Priority | Store | Issue Identified | Recommended Action | Current Revenue |
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| Store Name | Tier | Revenue | Units | SKUs | Weekly Velocity | Dec→Jan Growth |
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All Black Buddha NJ SKUs | Sortable & Searchable | Dec 2025 - Jan 2026
| Product Name ↕ | Size ↕ | Revenue ↕ | Units ↕ | Velocity ↕ | Avg Price ↕ | Contribution ↕ | PPI Score ↕ |
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Understanding Your Dashboard Metrics | How to Drive Business Decisions | Critical Insights
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| Total Revenue | Sum of (Units Sold × Price) across all SKUs and stores for the period | Track quarter-over-quarter growth. Set revenue targets by channel and product line. | ≥10% QoQ growth |
| Total Units | Count of all individual products sold (1g or 3.5g packages) | Compare to revenue to understand average price realization. High units + low revenue = pricing opportunity. | Growing alongside revenue |
| MoM Growth % | (Current Month - Prior Month) / Prior Month × 100 | Identify seasonality, promotional impact, and market momentum. Negative trends require immediate action. | Positive or stable |
| Revenue Contribution % | SKU Revenue / Total Revenue × 100 | Focus resources on top contributors. Bottom 20% of SKUs often contribute <5% of revenue—consider rationalization. | Top 10 SKUs = 50%+ revenue |
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| Revenue Share by Size | Category Revenue / Total Revenue × 100 (e.g., 3.5g Flower share) | Understand which format drives your business. Allocate marketing spend proportionally—or inversely to grow underperforming segments. | Flower typically 70-80% |
| Units Share by Size | Category Units / Total Units × 100 | Compare to revenue share. Higher unit share + lower revenue share = lower-priced entry products (intentional?) or pricing issue. | Align with strategy |
| Revenue per Unit | Category Revenue / Category Units | Proxy for average selling price. Track over time—declining RPU may indicate discounting pressure or mix shift to lower-priced SKUs. | 3.5g: $38-45 | 1g: $12-16 |
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| Weekly Velocity | Units Sold / Number of Weeks in Period (8 weeks for Dec-Jan). Measures sell-through speed independent of price or revenue. | The #1 demand signal. High velocity proves consumer pull, justifies shelf space, and gives negotiating leverage with retailers. Compare SKU velocity to category average to identify over/under performers. | 3.5g: >3 units/wk | 1g: >5 units/wk |
| Price Tier (±1 SD) | Mean Price ± 1 Standard Deviation across all products in category | Defines the "competitive zone." Pricing outside this band requires justification (premium quality or promotional strategy). | 3.5g: $34-51 | 1g: $10-20 |
| R² (Price-Velocity) | Coefficient of determination from linear regression of Price vs Velocity | Low R² (<0.3) means price has little impact on velocity—compete on quality/brand. High R² means price-sensitive market—compete on value. | <0.3 is typical for cannabis |
| Expected Velocity | Predicted velocity based on regression: Intercept + (Slope × Price) | Baseline for performance. Over-performers beat expectation (scale them!). Under-performers miss expectation (fix or cut). | Actual ≥ Expected |
| Performance Gap % | (Actual Velocity - Expected Velocity) / Expected Velocity × 100 | >+50% = Star performer (expand distribution). <-30% = Problem SKU (investigate pricing, placement, or product issues). | ±30% is normal variance |
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| Market Rank (in Tier) | Position among brands within ±1 SD price tier, sorted by revenue | Track rank movement over time. Improving rank = gaining share. Declining rank = competitive pressure requiring response. | Top 20 in tier |
| Brands Outperformed | Count/list of brands with lower revenue in same price tier | Identify vulnerable competitors to target. These brands are losing—understand why and exploit their weaknesses. | Growing list over time |
| Competitive Pressure | Brands with higher revenue in same tier (immediate threats) | Study their strategies. What stores do they dominate? What's their pricing? Can you displace them in key accounts? | Monitor top 5 threats |
| White Space | Price segments with low competition or high demand + low supply | Opportunity zones for new SKU launches or repositioning. First-mover advantage in underserved segments. | Validate with test launches |
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| PPI Score | (Price Score × 0.30) + (Velocity Score × 0.35) + (Revenue Score × 0.35) | Single metric for SKU health. Use for portfolio decisions: invest in high PPI, fix or cut low PPI. Rank all SKUs quarterly. | Portfolio avg >60 |
| Underpriced SKUs | High velocity + price below tier average | Immediate margin opportunity. Test price increases of 5-10%—if velocity holds, capture the upside. | Review quarterly |
| Overpriced SKUs | Low velocity + price above tier average | Either reduce price to drive volume OR invest in brand/quality perception to justify premium. Status quo = slow death. | Action within 30 days |
| Metric | Definition & Calculation | How to Use for ROI | Target/Benchmark |
|---|---|---|---|
| Store Tier | Platinum (Top 6), Gold (Next 10), Silver (Remaining) based on revenue rank | Prioritize account management time. Platinum = high-touch, regular visits. Silver = periodic check-ins, promotional focus. | Platinum = 50%+ revenue |
| SKUs Carried | Count of unique Black Buddha products sold at store | Low SKU count + high revenue = efficient. Low SKU + low revenue = expand assortment. High SKU + low revenue = rationalize. | 5-10 SKUs for focused stores |
| Store Velocity | Store Units / Weeks in Period | Benchmark stores against each other. Low velocity stores may have placement issues, staff training gaps, or wrong product mix. | Platinum: >50 units/wk |
| Dec→Jan Growth | (Dec Revenue - Nov Revenue) / Nov Revenue × 100 | Declining stores need immediate outreach. Determine if issue is store-wide (market) or BB-specific (fixable). Prioritize by tier. | Positive or flat |
Definition: The rate at which inventory sells, measured in units per week.
Key insight: Velocity is demand-driven, not supply-driven. A product can have high revenue but low velocity (few units at high price) or low revenue but high velocity (many units at low price). Both scenarios require different strategies.
Target velocities vary by product category and price point:
Impact: High | Each new store adds incremental velocity. Prioritize stores where your category performs well but you're not present. Use competitor gaps as entry points.
Impact: High | Eye-level placement can increase velocity 20-40%. End-caps and checkout placement drive impulse purchases. Negotiate placement during slow periods when retailers are flexible.
Impact: Medium-High | 60-70% of cannabis purchases are influenced by budtender recommendations. Invest in training sessions, product samples, and incentive programs (spiffs).
Impact: Medium | Stay within optimal price bands. Test price elasticity with small adjustments (5-10%). Deep discounts boost velocity short-term but erode brand value.
Impact: Medium | Targeted promotions (BOGO, bundle deals) spike velocity. Best used strategically to gain trial or clear slow inventory—not as ongoing strategy.
Impact: Long-term | Consistent quality drives repeat purchases—the foundation of sustainable velocity. Monitor reviews, returns, and customer feedback for quality signals.
A top-6 store losing momentum threatens 10%+ of total revenue. Action: Same-week outreach, identify root cause, deploy promotional support or rep visit within 5 business days.
Your best sellers slowing down signals market shift or competitive pressure. Action: Check competitor pricing, verify distribution hasn't narrowed, assess if product quality is consistent.
Selling more but earning less = price erosion or mix shift to lower-margin products. Action: Audit promotional activity, review price compliance with retailers, analyze category mix change.
An emerging brand climbing the ranks is taking share. Action: Identify which stores they're winning, what their price positioning is, and whether to compete head-on or differentiate.
Proven winner not yet at full distribution. Action: Prioritize expanding to remaining stores. Use performance data as sales proof to buyers.
Leaving money on the table. Action: Test 5-10% price increase. If velocity stays within 10%, you've found margin. Roll out across all stores.
Hidden gem with high demand but limited assortment or new account. Action: Expand SKU offering, increase visit frequency, potential to move to Gold/Platinum tier.
Rival brand losing share in a store where you're present. Action: Aggressive promotional push to capture their lost velocity. Strike while they're weak.