CPG companies run on retailer relationships, broker networks, trade promotion spend, and syndicated data analysis. Generic CRMs skip the industry-specific capability. Strkr ships a CRM shaped for CPG with retailer workflow, broker scoring, trade spend tracking, and syndicated data integration.
CPG companies manage retail distribution across mass, grocery, drug, club, convenience, foodservice, and e-commerce channels. Each channel has specific buyer dynamics, trade terms, promotion planning, and syndicated data analysis requirements. The pain points below are what Strkr onboarding hears from CPG manufacturers in the $20M to $500M revenue range.
Each mass or grocery retailer has specific category structure, buyer rotation cycles, trade terms, trade promotion requirements, planogram cycles, and distribution expansion processes. A generic account record cannot handle the complexity. Strkr ships a Retailer Account with retailer-specific workflow configurations and distribution tracking by SKU.
CPG companies work with 20 to 60 broker partners covering specific retailer accounts in specific geographies. Each broker handles the day-to-day retailer interaction. The CPG company needs to coordinate across brokers, measure broker performance, and ensure consistent brand execution. Strkr ships a Broker object with territory, retailer coverage, performance metrics, and commission tracking.
Trade spend (TPR, ads, display, demos, slotting fees, free fill) typically runs 15 to 25 percent of CPG wholesale revenue. Tracking commitment versus actual, by retailer, by brand, by SKU is a complex ongoing task. Strkr ships a Trade Spend object with commitment, actual spend, deductions, and ROI calculation by promotion event.
CPG category managers and sales teams run every buyer conversation around syndicated data (Nielsen, IRI, Circana, SPINS, NielsenIQ) showing category performance, share trend, brand velocity. The syndicated data lives in a sidecar tool with manual export to buyer-facing decks. Strkr integrates with syndicated data feeds through the webhook spec and prints retailer-level and category-level performance on the Account card.
A new SKU launch requires authorization at each retailer with distribution tracking by SKU-store combination (which SKU is on-shelf at which stores). The distribution ramp runs over several months. Strkr ships a Distribution Expansion workflow tracking authorized-versus-stocked status by retailer-SKU combination.
Retailers deduct from CPG invoices for trade spend, slotting, promotional allowances, markdowns, chargebacks, and merchandising. Monthly deductions can run 8 to 18 percent of invoice value. Not all deductions are valid. Contesting invalid deductions requires evidence and a defined workflow. Strkr ships a Deduction object with reason, amount, validity assessment, dispute workflow, and resolution tracking.
The default CRM schema fits B2B SaaS but not CPG. Strkr ships a tunable schema with Retailer Account, Buyer, Broker, SKU, Distribution, Trade Spend, Deduction, and Syndicated Data as first-class objects.
A Retailer Account captures the banner (Kroger, Albertsons, Target, Walmart, Costco, 7-Eleven), parent organization, channel (mass, grocery, drug, club, convenience, foodservice, e-commerce), trade terms, category assignments, buyer rotation, and commercial contact structure. The schema drives retailer-specific workflow configurations.
A Buyer captures the buyer at the retailer with category authority, buying tenure, decision style, brand-fit assessment, and category philosophy. The schema tracks buyer continuity when buyers move between retailers (common in CPG) or categories.
A Broker captures the broker partner with territory, retailer account coverage, representative team, performance metrics (distribution velocity, promotion execution, retailer satisfaction), and commission structure. The schema drives broker coordination and performance review.
A SKU captures the product with UPC, GTIN, case pack configuration, suggested retail pricing, cost structure, launch date, and lifecycle status (active, phase-in, phase-out, discontinued). The schema drives the SKU-level distribution tracking.
A Distribution record ties a SKU to a Retailer Account with authorization status, stocked status (based on syndicated data), stocking stores count, and velocity. The schema drives the distribution expansion workflow and the gap-closing opportunity view.
A Trade Spend record captures the retailer, promotion period, promotion type (TPR, ad, display, demo, slotting, feature), committed spend, actual spend, deductions linked to the promotion, and ROI calculation based on sales lift versus baseline. The schema drives the trade spend planning and effectiveness analysis.
A Deduction captures the retailer, invoice reference, deduction amount, reason code, validity assessment, dispute workflow status, and resolution. The schema drives the deduction management workflow with automatic linking to the trade spend commitment where applicable.
CPG communication is category-driven, data-grounded, and relationship-based. Strkr AI drafts in the voice a CPG sales lead or category manager would use with syndicated data context and retailer-specific framing.
For semi-annual line reviews Strkr AI drafts the presentation outline with category performance update, brand velocity, new SKU proposals, trade promotion plan, and strategic recommendations. The sales lead tunes the strategic framing. The deck lands grounded in syndicated data with consistent quality across buyer meetings.
For new SKU launches Strkr AI drafts the authorization request to each buyer with brand context, product fit for the buyer's category, projected velocity based on comparable SKU performance, trade terms, and launch support. The sales rep tunes and sends. The pitch lands tailored to each buyer rather than generic.
After each trade promotion Strkr AI drafts the effectiveness recap with committed spend, actual spend, sales lift from syndicated data, and ROI calculation. The sales rep sends the recap to the retail buyer which supports the next promotion negotiation and the broker performance review.
Strkr AI drafts the quarterly broker scorecard with distribution velocity by retailer, promotion execution quality, retailer-reported satisfaction, and commission earned. The broker lead reviews and shares. The scorecard conversation stays data-grounded rather than opinion-based.
When syndicated data shows a SKU authorized at a retailer but not stocked at enough stores Strkr AI drafts the outreach to the buyer or broker with distribution gap data, comparable store performance, and expected incremental revenue. The outreach is specific and data-grounded instead of generic.
For invalid retailer deductions Strkr AI drafts the dispute communication with the deduction reference, the evidence supporting the dispute, and the resolution request. The deduction manager approves and sends. Dispute win rates improve because the challenge is specific and documented.
For retailer category reviews Strkr AI drafts the category perspective with syndicated data showing category growth, segment dynamics, brand share trend, and the recommended category role for the brand. The category manager tunes and presents. The retailer sees the brand as a category thought partner.
CPG commercial leaders run on weekly syndicated-data-grounded reviews. Strkr ships a CPG cockpit that pulls retailer performance, broker activity, trade spend, and distribution onto a single view.
The retailer performance section shows share, velocity, and distribution by top retailer with trend comparison to the prior quarter. The VP of Sales sees which retailers are gaining and which are losing share.
The trade spend section shows committed trade spend versus actual for the current period by retailer with variance flagged. The sales finance partner uses the view in the monthly spend review.
The distribution gap section shows SKU-retailer combinations where the SKU is authorized but not stocked at enough stores. Each gap flags the potential revenue if the gap closed. The sales lead works the top 20 gaps each quarter.
The broker section shows each broker performance with distribution velocity, promotion execution, and retailer satisfaction. The VP of Sales sees which brokers are driving results and which need coaching or replacement.
The deduction section shows open retailer deductions ranked by amount with validity assessment (valid, likely valid, likely invalid, invalid). The deduction manager works the invalid-flagged deductions for dispute.
The new SKU section shows new SKU launches with authorization status by retailer, launch timeline, and expected revenue ramp. The brand marketing partner uses the view in the launch planning review.
The comparison below is Strkr's CPG posture versus a typical trade spend management or consumer goods cloud applied to a mid-size CPG manufacturer.
| Feature | Strkr | CPG-specific tool typical posture |
|---|---|---|
| Retailer account workflow | Retailer-specific configurations. | Generic account. |
| Broker network tracking | Territory, coverage, performance. | Separate tool. |
| Trade spend management | Commitment, actual, deductions, ROI. | Separate TPM tool. |
| Syndicated data integration | Nielsen, IRI, Circana webhook feed. | Manual Excel import. |
| Distribution tracking | SKU-retailer with gap view. | Spreadsheet. |
| Deduction management | Validity assessment and dispute workflow. | Separate AR tool. |
| Buyer continuity | Follow buyer across retailers. | Separate account only. |
| AI drafting for line reviews | Syndicated-data grounded. | None. |
| Pricing | Flat per seat. | Enterprise annual contracts typical. |
The playbooks below are patterns Strkr onboarding sees across CPG deployments.
A $42M premium snack brand sold through 18 broker partners across 240 retailer accounts with heavy specialty grocery concentration. The brand VP of Sales wanted broker performance visibility and trade spend tracking by retailer. Strkr onboarding ran a 24-business-day migration with syndicated data integration from SPINS. Trade spend ROI lifted 24 percent as effectiveness tracking replaced intuition-based planning.
A $120M beverage brand sold through Walmart, Target, Kroger, Albertsons, and Costco with direct account management plus broker coverage for specialty. Strkr onboarding configured retailer-specific workflows for the mass retailers plus broker-coordinated workflow for specialty. Distribution gap identification improved and new SKU authorization at Walmart went from a 6-month cycle to 4 months as the pitch landed data-grounded.
A $68M household goods brand ran a mix of trade spend management in Excel and retailer accounts in Salesforce. The CFO wanted trade spend consolidated with retailer management on one surface for better planning. Strkr onboarding ran a 28-business-day migration moving both into one tenant. Trade spend overrun dropped from 11 percent average to 3 percent as better visibility supported discipline.
A $240M food brand sold 60 percent through retail (grocery and mass) and 40 percent through foodservice (distributor, operator, cafeteria). Strkr onboarding configured channel-specific workflows with the foodservice distribution model and retail buyer dynamics kept distinct. Cross-channel reporting rolled up for the CEO view. Channel-specific sales execution improved as the workflow stopped forcing one model onto two different channels.
Book a 30 minute call. We will walk through the CPG schema, the retailer workflow, and the trade spend tracker with your actual channel mix and broker network.
Strkr integrates with every major syndicated data provider through its REST and GraphQL API, outbound webhooks with HMAC signing, and the published OpenAPI spec. The typical setup pulls retailer-level and category-level velocity data on a weekly cadence. For Nielsen, IRI, Circana, SPINS, and NielsenIQ the integration lands in one to two engineering sprints. Syndicated data prints on the Retailer Account card and on the SKU-level distribution view. The data feeds AI-drafted buyer presentations and distribution gap analysis.
The Trade Spend object captures commitment, actual spend, and ROI by promotion event. The Deduction object captures retailer deductions with reason code and automatic linking to the trade spend commitment where applicable. The deduction manager works invalid-flagged deductions through a dispute workflow with AI-drafted dispute communication. For CPG companies the trade spend reconciliation typically runs the second week of each month with Strkr providing the view that previously lived in Excel.
Yes. The Broker object captures each broker partner with territory, retailer account coverage, representative team, performance metrics, and commission structure. For complex broker networks (national broker plus regional broker plus specialty broker) Strkr supports multi-broker coverage per retailer with primary and secondary assignment. The quarterly broker scorecard runs on consistent definitions across the network which supports better broker-performance conversations.
Strkr prices flat per seat at $29 Starter, $59 Pro, and $119 Scale per user per month with a 14-day trial. For a 48-person CPG commercial team on Scale the monthly spend runs $5,712 for seats plus $49 for AI Enhancement. Salesforce Consumer Goods Cloud typically runs $150 to $300 per user per month plus implementation partner retainer and often an industry-cloud premium. Repsly, StayinFront, and other CPG-specific tools run $75 to $200 per user per month. Strkr sits competitive to lower on seat price and adds the AI drafting and syndicated data integration.
The Distribution Expansion workflow tracks authorization status by retailer-SKU combination with target authorization date, actual authorization date, store count stocking, and velocity ramp. For new SKU launches the workflow runs across the target retailer list in parallel with per-retailer status visible. Strkr AI drafts the authorization request to each buyer with buyer-specific framing. The sales rep works the queue over the launch window to drive authorization at target retailers.
Yes. The admin configures channels (grocery, mass, drug, club, convenience, foodservice distributor, foodservice operator, e-commerce) with channel-specific workflow configurations. The Retailer Account versus Foodservice Account distinction supports the different commercial models (SKU-level distribution for retail versus menu-level penetration for foodservice). Cross-channel reporting rolls up for the commercial leadership while channel-specific execution stays appropriate to each.
Strkr is HIPAA compliant with BAA on request (relevant for health and beauty CPG with PHI touches), GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. Integration tokens live in AWS KMS, platform credentials live in AWS Secrets Manager. The audit log captures every record read, record write, and AI call with 90-day default retention tunable per tenant to retailer master data agreement requirements. SSO (SAML and OIDC) is live on Scale tier through Clerk, MFA with TOTP plus text-based verification is live across all tiers, and Verified Domains are live on Scale tier.
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