CPQ work is product catalog curation, pricing rule enforcement, discount approval, quote assembly, and contract hand-off. Strkr ships a CRM core with products as a first-class object and quote assembly tied to the deal, so sales reps generate accurate quotes without jumping into a separate CPQ tool.
CPQ buyers typically land on one of three stacks: a dedicated CPQ tool (Salesforce CPQ, DealHub, PandaDoc, QuoteWerks, Oracle CPQ) that sits alongside the CRM, a bolt-on quote tool (Proposify, Qwilr) with contract storage on the CRM, or Google Docs plus Excel pricing worksheets. Each stack has friction. Strkr ships a CRM core where product and quote are first-class objects. Review Strkr Products at /product/products for the product and quote capability.
Most CRMs have a product field on the deal with a dropdown of 11 to 42 values. The field captures what sold but has no concept of SKU, pricing tier, bundle structure, upgrade path, or configuration options. The sales rep improvises quotes in a Google Doc. Strkr ships a product catalog with full SKU structure, pricing tiers, bundles, upgrade paths, and configuration rules.
Pricing policy (standard discounts, volume tier breaks, promotional pricing, deal registration overrides) often lives in a sales playbook that reps interpret. Over quarters the policy drifts. Strkr ships pricing rules as a first-class object with approval thresholds, auto-approvals for standard discounts, and routing for non-standard discounts.
Without CPQ reps rebuild quotes in Google Docs or Excel for each deal. The branding is inconsistent, the pricing is error-prone, and the terms vary. Strkr ships quote assembly from the product catalog with branded templates, auto-pricing per the pricing rules, and standard terms attached.
Non-standard discount approvals usually route through Slack messages or email forwards to the sales manager and the CRO. The approval takes a day or two during which the deal cools. Strkr ships discount approval as a first-class workflow with routing rules (dollar thresholds, discount percent thresholds, product-line triggers) and parallel approver notification.
Product bundles (platform plus module plus support, or usage-based plus committed pricing plus add-ons) have specific pricing math that reps often get wrong when assembling quotes manually. Strkr ships bundle logic in the product catalog so bundle pricing calculates automatically with the discount routing applied.
The quote the customer signed and the contract legal drafts commonly have different terms (list price versus discounted price, standard terms versus negotiated terms, bundle configuration versus itemized configuration). Strkr ties quote to contract through the deal so the executed contract reflects the signed quote exactly, with any amendment tracked explicitly.
Strkr ships a tunable CPQ schema with Product, Pricing Rule, Quote, Line Item, Discount, and Bundle as first-class objects. The sales ops lead can rename or extend anything. The default lands close to where mid-market B2B teams typically settle.
A product carries SKU, display name, product family, pricing (list price plus pricing tiers), configuration options (versions, modules, usage units), upgrade and downgrade paths, dependencies, and status (active, legacy, deprecated). The product drives quote assembly.
A pricing rule captures the standard discount tiers (volume breaks at 10, 50, 100 users), the approval thresholds (reps can approve up to 10 percent, managers up to 20 percent, CRO up to 35 percent, VP above), promotional pricing periods, and deal registration overrides. The rules drive automatic approval routing.
A quote ties to the deal with line items, calculated totals, applicable discounts, validity date, and signature status. The quote generates a branded PDF for customer delivery with electronic signature attached.
A line item ties to the quote and the product with quantity, unit pricing (list times discount), extended pricing, applied discount percentage, and discount justification. Each line item connects back to the product catalog for pricing accuracy.
A discount captures the percentage requested, the approval status, the approver assigned, the justification (competitive pressure, strategic account, volume commitment), and the status. The discount drives the approval workflow routing.
A bundle captures the component products, the bundle pricing (either sum of discounted components or standalone bundle price), the required dependencies, and the optional add-ons. Bundles streamline quote assembly for common product combinations.
Quote communication requires precise commercial language with the right pricing math. Strkr AI drafts with retrieval scope that pulls from the deal context, the product catalog, prior successful quotes for similar customers, and the pricing rules.
Strkr AI drafts the quote cover narrative with the customer context, the proposed value, the pricing rationale, and the next step. The sales rep reviews and sends with the line item breakdown attached.
When a non-standard discount routes for approval Strkr AI drafts the justification memo with the competitive context, the strategic account rationale, the volume commitment, and the proposed deal shape. The sales manager reviews with faster turnaround.
For existing customers Strkr AI drafts the upsell proposal with the current product configuration, usage trends, and recommended expansion (additional seats, premium module, support tier upgrade). The account manager reviews and sends.
For renewing customers Strkr AI drafts the renewal quote with the current configuration, any applicable annual price adjustment (CPI tie, legacy grandfather, promotional roll-off), and the renewal terms. The account manager reviews and sends 90 days before renewal.
For deals where the customer is actively evaluating a competitor Strkr AI drafts the competitive pricing memo with the proposed discount tier, the value framing, and the deal shape recommendation. The sales rep uses the memo in internal pricing conversation.
For deals requiring executive approval Strkr AI drafts the one-page executive summary with the customer context, the proposed deal shape, the strategic rationale, and the ask for approval. The CRO reviews before granting the discount override.
Strkr ships views shaped around CPQ operating cadence. The cards below are the views a sales ops lead, deal desk analyst, and sales manager open first on Monday morning.
The open quotes pipeline surfaces every quote delivered to a customer with validity date, aging, and customer activity signals (viewed, downloaded, forwarded, no activity). Quotes approaching validity expiration trigger follow-up outreach workflow.
The discount approval queue surfaces discount requests routed to each approver with SLA tracking. Requests aged past SLA trigger an escalation workflow. The sales manager and CRO work their respective queues daily.
The product mix analytics view surfaces products closed-won by segment, by period, with volume trends. The sales ops lead uses the view for the quarterly product strategy review with product management.
The discount tier analytics view shows average discount applied by rep, by segment, by product line. Reps consistently discounting above median flag for sales management review. Pricing policy drift surfaces before it compounds.
The quote conversion view tracks quote-to-signed conversion rate by product line, discount tier, deal size, and sales rep. The sales ops lead uses the view to spot patterns in which quote structures convert.
The CPQ KPI cockpit surfaces average quote cycle time (deal to signed quote), average discount depth, quote conversion rate, and discount approval SLA performance. The sales ops lead uses the cockpit for the monthly operating review.
Most mid-market B2B teams run a generic CRM plus a dedicated CPQ tool (Salesforce CPQ, DealHub, PandaDoc, QuoteWerks, Oracle CPQ) for quote generation. The comparison below is Strkr versus that two-tool stack.
| Feature | Strkr | Generic CRM plus dedicated CPQ tool |
|---|---|---|
| Product catalog as first-class object | Yes with SKU, pricing, configuration. | In the CPQ tool. |
| Pricing rules with approval routing | Built-in with threshold-based routing. | In the CPQ tool. |
| Quote assembly | Branded templates from product catalog. | In the CPQ tool. |
| Bundle pricing | Automatic from catalog structure. | In the CPQ tool. |
| Discount approval workflow | Native with SLA tracking. | In the CPQ tool. |
| Contract hand-off | Quote to contract to signed in one tenant. | Sync between CPQ and CRM. |
| Discount tier analytics | Standard report by rep and segment. | In the CPQ tool. |
| Monthly cost of stack | $29 to $119 per seat. | CRM seats plus $300 to $2,400 per month CPQ. |
| Data model consolidation | One system of record. | Two tools, sync lag. |
The playbooks below are patterns Strkr onboarding sees across CPQ deployments.
A 180-employee SaaS company ran Salesforce plus Salesforce CPQ for the quote stack with $9,500 per month in combined tooling. Strkr onboarding ran a 32-business-day migration consolidating onto Strkr for CRM and CPQ. Monthly spend dropped by 68 percent and quote cycle time dropped from 7 days to 2 days.
A 240-employee professional services firm had never had formal CPQ with quotes written in Google Docs. Pricing drift had gotten severe with 42 percent average discount across the deal portfolio. Strkr onboarding ran a 28-business-day migration landing the product catalog, pricing rules, and approval workflow. Average discount dropped to 24 percent in the first full quarter with zero reduction in close rate.
A 420-employee devtools company had 11 bundle variants and reps assembled bundle quotes by hand with high error rates. Strkr onboarding ran a 32-business-day migration landing the bundle logic in the product catalog with automatic bundle pricing. Bundle quote accuracy went from about 70 percent correct to 99 percent correct.
A 90-employee SaaS company priced on committed usage plus overages. Quote math had both the committed-plus-overage structure plus annual discount tiers. Strkr onboarding ran a 24-business-day migration landing the usage-based pricing rules with annual commitment math and overage projection. Reps delivered accurate quotes without the deal desk reviewing every one.
An 85-employee professional services firm sold engagements with configuration options (service tier, project duration, team composition, geography). Each quote was a Google Doc rebuild. Strkr onboarding ran a 22-business-day migration landing the engagement configuration in the product catalog with automatic quote assembly. Quote drafting time dropped from 2 hours to 20 minutes per quote.
Book a 30 minute call. We will walk through the product catalog, the pricing rules, and the quote assembly flow with your actual product mix and pricing policy. See /product/products for Strkr Products CPQ capabilities.
Strkr integrates with every major billing platform through its REST and GraphQL API, outbound webhooks with HMAC signing, and the published OpenAPI spec. For Stripe, Chargebee, Zuora, and Maxio the typical integration hands off the signed quote to the billing platform for invoice generation and recurring billing. The quote line items map to billing SKUs with the configured pricing applied. The engineering sprint runs one to two weeks per billing platform.
The pricing rules object captures the standard discount tiers (volume breaks, promotional pricing, deal registration overrides) and the approval thresholds (reps can approve up to 10 percent, managers up to 20 percent, CRO up to 35 percent, VP for anything higher). When a rep applies a discount within the self-approval threshold the quote proceeds. Above the threshold the approval request routes to the next approver with the AI-drafted justification memo. SLA tracking per approver surfaces bottlenecks. The admin configures the thresholds per the firm pricing policy.
Yes. The pricing structure in the product catalog supports fixed per-unit pricing, tiered pricing (volume breaks), committed-plus-overage (base commitment at discounted rate plus overage at list), usage-based pricing with projected volumes, and hybrid models. Quote assembly handles each pricing structure with the right math. For usage-based pricing the quote shows projected monthly cost based on the committed usage plus the expected overage pattern. For teams on Strkr Products at /product/products the full CPQ capability sits in the same tenant as the deal pipeline.
Strkr runs flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial. For a 20-person sales team on Pro the monthly spend runs $1,180 for seats plus $49 for AI Enhancement. Salesforce CPQ typically runs $75 to $300 per user per month on top of Salesforce. DealHub runs $45 to $85 per user per month. PandaDoc runs $19 to $65 per user per month. Oracle CPQ runs enterprise pricing. Strkr sits well below the dedicated CPQ tools because CPQ is a native capability.
When a quote signs the deal advances to contract stage with the quote terms carried forward. The contract draft pulls from the clause library (via the Strkr contract management surface) with the quote-specific commercial terms (pricing, product configuration, start date) pre-populated. On contract execution the deal advances to the billing hand-off with the agreed terms. The billing platform integration (Stripe, Chargebee, Zuora, Maxio) receives the executed quote structure for invoice generation. The whole flow stays in one tenant with the audit trail preserved.
Strkr is HIPAA compliant with a BAA available on request, GDPR and CCPA compliant today, and SOC 2 Type II is in progress with a target of 2026-Q4. For quote governance the audit log captures every quote draft, every pricing adjustment, every discount approval, and every signature event with timestamp, user, and action. The audit log serves as evidence for revenue recognition review and internal audit. SSO (SAML and OIDC) is live on Scale tier through Clerk, MFA is live across all tiers, and Verified Domains are live on Scale tier.
No sales call, no migration consultant, no four-month implementation. Enter your card, get 14 days of the full Pro tier, cancel any time before day 14 with zero charge. Spin up a workspace, import your CSV, and have something useful before lunch.
