CPG manufacturers manage retailer accounts across mass, grocery, drug, club, convenience, foodservice, and e-commerce channels. The commercial motion runs on broker networks, trade promotion spend, and syndicated data analysis. Strkr ships a CPG-specific CRM with retailer workflow, broker scoring, trade spend tracking, and AI drafting for buyer meetings.
CPG commercial teams run a motion generic CRMs do not fit. The pipeline is retailer-driven. The daily operation is broker-coordinated. The economics turn on trade spend ROI. The strategic conversation runs on syndicated data. The pain points below are what Strkr onboarding hears from CPG manufacturers in the $25M to $420M revenue range across food, beverage, personal care, household, and health and wellness categories.
Mass retail (Walmart, Target, Kroger, Albertsons) requires EDI, scan-based trading, category management conversation, and planogram cycles. Specialty grocery (Whole Foods, Sprouts, Fresh Thyme) requires brand story, local sourcing, visual merchandising. Club (Costco, Sam's, BJ's) requires pack-size reconfiguration, limited SKU, and demo-driven velocity. Strkr ships retailer-tier-specific workflow with the right process per channel.
CPG manufacturers work with 20 to 80 broker partners covering specific retailer accounts in specific geographies. Each broker handles the day-to-day retailer interaction. Coordinating across brokers, measuring broker performance, and ensuring consistent brand execution is a weekly task. Strkr ships a Broker object with territory, retailer coverage, performance metrics, and commission tracking.
Trade spend (TPR, ads, display, demos, slotting fees, free fill, trade allowances) typically runs 15 to 25 percent of CPG wholesale revenue. Tracking commitment versus actual, by retailer, by brand, by SKU, by promotion event is a weekly operational task. Strkr ships a Trade Spend object with commitment, actual spend, deductions, and ROI calculation.
Category managers and sales leads run every buyer conversation around syndicated data (Nielsen, IRI, Circana, SPINS). The data typically lives in Tableau, PowerBI, or syndicated vendor dashboards. Account records live in the CRM. The two do not reconcile. Strkr integrates syndicated data through the webhook spec and prints velocity, share, and distribution on the Retailer Account card.
Retailers deduct from CPG invoices for trade spend, slotting, markdowns, chargebacks, co-op advertising, and merchandising. Monthly deductions can run 8 to 18 percent of invoice value. Not every deduction is 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.
A new SKU launch requires authorization at each retailer with distribution tracking by SKU-store combination. The ramp runs over 60 to 180 days with ongoing follow-up. Most CPG teams run this on an Excel sheet. Strkr ships a Distribution Expansion workflow with target-versus-actual authorization and store-level distribution tracking from syndicated data.
Strkr ships a CPG-specific schema with Retailer Account, Buyer, Broker, SKU, Distribution, Trade Spend, Deduction, Syndicated Data, and New SKU Launch as first-class objects.
A Retailer Account captures the banner (Kroger, Albertsons, Target, Walmart, Costco, Whole Foods, 7-Eleven, Amazon), parent organization, channel, trade terms, category assignments, buyer rotation, and commercial contact structure. The schema drives retailer-specific workflow and syndicated data mapping.
A Buyer captures the category buyer with category authority, tenure, decision style, brand-fit assessment, and category philosophy. The schema tracks buyer continuity when buyers move between retailers (common in CPG).
A Broker captures each broker partner with territory, retailer coverage, team roster, performance metrics (distribution velocity, promotion execution, retailer satisfaction), and commission structure. The schema drives broker coordination and quarterly scorecard review.
A SKU captures the product with UPC, GTIN, case pack, pricing, launch date, and lifecycle status. A Distribution record ties the SKU to a Retailer with authorization status, stocked status (from syndicated data), store count, and velocity. The schema drives the distribution gap analysis.
A Trade Spend record captures retailer, promotion period, type (TPR, ad, display, demo, slotting, feature), committed spend, actual spend, deductions linked, and ROI calculation. The schema drives the trade spend planning and effectiveness analysis.
A Deduction captures retailer, invoice reference, amount, reason code, validity assessment, dispute workflow, and resolution. The schema drives the deduction management workflow with automatic linking to trade spend commitments.
A New SKU Launch captures the target retailer list, per-retailer authorization status, per-retailer launch date, store-count ramp, and velocity trajectory from syndicated data. The schema drives the launch management workflow across the ramp window.
CPG communication runs on category context, syndicated data grounding, and buyer-specific framing. Strkr AI drafts in the voice of a CPG sales lead with the data context the buyer expects.
Strkr AI drafts the semi-annual line review for each retailer with category performance update, brand velocity, new SKU proposals, trade promotion plan, and strategic recommendations grounded in syndicated data. The sales lead tunes the strategic framing. The deck lands at consistent quality across buyers.
For new SKU launches Strkr AI drafts the authorization request to each buyer with brand context, product fit for the buyer category, projected velocity from comparable SKU performance, trade terms, and launch support plan. The sales rep tunes and sends.
After each promotion Strkr AI drafts the effectiveness recap with committed spend, actual spend, sales lift from syndicated data, and ROI calculation. The sales rep sends to the retail buyer which supports the next promotion negotiation.
Strkr AI drafts the quarterly broker scorecard with distribution velocity by retailer, promotion execution quality, retailer satisfaction, and commission earned. The broker lead reviews and shares. The scorecard conversation stays data-grounded.
When syndicated data shows a SKU authorized at a retailer but not stocked at enough stores Strkr AI drafts the outreach with distribution gap data, comparable store performance, and expected incremental revenue. The outreach is specific instead of generic.
For invalid retailer deductions Strkr AI drafts the dispute communication with the deduction reference, evidence supporting the dispute, and specific resolution request. The deduction manager approves and sends. Dispute win rates improve.
Before a senior buyer meeting Strkr AI drafts the pre-meeting brief with the retailer context, category performance, brand share trend, open issues, trade spend status, and recommended ask. The CRO or VP of Sales walks into the meeting with the full context.
CPG commercial leaders run on weekly syndicated-data-grounded reviews. Strkr ships a cockpit that pulls retailer performance, broker activity, trade spend, distribution, and new SKU ramp onto one view.
The retailer section shows share, velocity, and distribution by top retailer with trend comparison. The VP of Sales sees which retailers are gaining and losing share with the drivers.
The trade spend section shows committed 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 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 drive results.
The deduction section shows open retailer deductions ranked by amount with validity assessment. The deduction manager works the invalid-flagged deductions for dispute.
The new SKU section shows active launches with authorization status by retailer, ramp timeline, and expected revenue velocity. The brand marketing partner uses the view in launch planning.
The comparison below is Strkr's CPG posture versus a typical consumer-goods-specific CRM applied to a mid-size CPG manufacturer.
| Feature | Strkr | CPG-specific CRM typical posture |
|---|---|---|
| Retailer-tier workflow | Mass, specialty, club, convenience, foodservice, e-commerce. | Generic account. |
| Broker network scoring | Territory, performance, commission. | Separate tool. |
| Trade spend management | Commitment, actual, deduction linking. | Separate TPM tool. |
| Syndicated data integration | Nielsen, IRI, Circana, SPINS webhook. | Manual Excel. |
| Distribution gap analysis | SKU-retailer with revenue estimate. | None. |
| Deduction management | Validity assessment and dispute workflow. | Separate AR tool. |
| New SKU launch tracking | Authorization and ramp by retailer. | Spreadsheet. |
| AI drafting for line reviews | Syndicated data grounded. | None. |
| Pricing | Flat per seat. | Enterprise contracts typical. |
The playbooks below are patterns Strkr onboarding sees across CPG deployments.
A $32M premium snack brand sold through 24 broker partners across 180 specialty grocery and natural channel accounts. The brand VP of Sales wanted broker performance visibility and trade spend tracking by retailer. Strkr onboarding ran a 20-business-day migration with SPINS data integration. Trade spend ROI lifted 24 percent as effectiveness tracking replaced intuition-based planning. Broker renewal cycle improved as scorecards gave concrete feedback.
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 plus broker-coordinated workflow for specialty. New SKU authorization at Walmart went from a 6-month cycle to 4 months as the pitch landed data-grounded with Nielsen data on comparable SKU performance.
A $68M household goods brand ran trade spend management in Excel and retailer accounts in Salesforce. The CFO wanted trade spend consolidated with retailer management for better planning and reduced trade spend overrun. Strkr onboarding ran a 28-business-day migration consolidating both into Strkr. Trade spend overrun dropped from 11 percent average to 3 percent as visibility supported discipline.
A $240M food brand sold 60 percent through retail and 40 percent through foodservice (distributor, operator, cafeteria). Strkr onboarding configured channel-specific workflows with foodservice distribution 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 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. 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. For Nielsen, IRI, Circana, SPINS, and NielsenIQ the integration lands in one to two engineering sprints.
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. Trade spend reconciliation that previously ran in Excel runs natively in Strkr with the view consistent across the organization.
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.
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 industry-cloud premium. Repsly, StayinFront, and similar 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 New SKU Launch object tracks authorization status by retailer with target authorization date, actual authorization date, store count stocking, and velocity ramp from syndicated data. For 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.
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 different commercial models (SKU-level distribution for retail versus menu penetration for foodservice). Cross-channel reporting rolls up for commercial leadership while channel-specific execution stays appropriate.
Strkr is HIPAA compliant with BAA on request (relevant for health and wellness CPG), 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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