Standalone quoting software (Salesforce CPQ, Oracle CPQ, Conga CPQ, DealHub) solves the quote problem on top of a six figure implementation. Strkr ships the quoting capability inside the CRM at flat per seat pricing with no implementation partner retainer. See the product detail at /product/products.
Quoting software buyers run three parallel problems. Pricing complexity, approval workflow friction, and signature cycle time. The six pain points below are what Strkr onboarding hears on every intake call with a team searching quoting software.
The firm pricing model has 12 rules. Volume break at 10, 50, 100 seats. Industry discount for healthcare. Partner discount for referrals. Multi year discount at 2 year and 3 year. Minimum margin by product tier. The AE knows four of them. The AE sends quotes outside policy. Strkr pricing calculator encodes the 12 rules as validation and approval triggers. The quote math is correct every time.
A quote needs discount approval over 20 percent. The AE sends the email to the sales manager who is traveling. The quote waits two days. The customer calls asking for status. Strkr approval workflow routes the request through Slack notification, mobile approval, and audit log. The manager approves in 90 seconds on a phone.
The AE builds the quote in Excel. The quote line items, discount applied, and approval status do not land in the CRM deal record. Reporting on average deal size, discount depth, and quote cycle time runs on an Excel export reconciliation. Strkr quote lives as a first class object tied to the deal with the full data in CRM reporting.
The customer wants to buy product A plus feature X plus service Y. The AE does not know if the combination is valid. The AE sends the quote and the implementation team realizes the combination fails. Strkr product configuration encodes compatibility rules so the AE sees valid combinations only. Invalid bundles flag before the quote sends.
A $420,000 deal needs CRO approval over $100,000 and CEO approval over $400,000. The CRO approves. The CEO never sees it. The deal closes and the CEO finds out on the quarterly review. Strkr approval chain configures per threshold with automatic chaining (CRO first, CEO second if value threshold crossed). The approval chain cannot be bypassed.
Salesforce CPQ lists at $75 per user per month on top of Sales Cloud and typically ships with a $120,000 to $380,000 implementation partner fee. Oracle CPQ, Conga CPQ, and DealHub land in similar territory. Strkr quoting is included on Pro at $59 per seat. No separate CPQ subscription. No six figure implementation.
The nine cards below are the capability map a quoting software has to cover. Each is a working surface in Strkr that lands in the default configuration.
The product catalog carries SKU, list price, floor price, cost, tier, feature flag, and bundle membership. Pricing rules (volume break, industry discount, partner discount, multi year, minimum margin by tier) encode as validation and approval triggers.
Product compatibility rules enforce valid combinations. Product A plus feature X plus service Y validates on build. Invalid bundles flag before the quote sends with the compatibility conflict explained.
The pricing calculator runs server side with the catalog pricing, discount application, volume break computation, multi year discount, and total roll up. The math is auditable.
Approval triggers (discount over threshold, non standard terms, extended payment, line total threshold, specific product combinations) route through the approver chain with Slack, Teams, mobile notification. The chain cannot be bypassed.
Strkr AI drafts the scope sections, product descriptions, pricing narrative, and terms from the selected products and the deal context. The AE reviews and tunes two sentences on average.
The e-signature flow sends a branded signature link with the quote rendered and signature capture inline. The customer signs with typed or drawn signature with identity confirmation. The audit log captures signer identity, timestamp, and IP.
Signature event triggers the deal stage advance to Closed Won, the signed quote attaches to the deal record, the scope converts to a project kickoff event, and the invoice workflow fires through the accounting integration.
Reporting on quote to close rate, average quote value, discount depth by product tier, approval cycle time, quote to signature cycle time, and quote version iteration. The data lives in the CRM.
Quote object is a first class CRM object tied to the deal, account, and contact. No separate CPQ tool. No sync bridge. No two tool shuffle. The quote data is deal data.
The seven cards below walk through the Strkr quoting workflow from deal advancement to signature event.
The AE moves the deal to a quote generation stage. The quote object spawns from the deal with the account, primary contact, and deal context pulled in automatically. The AE opens the quote builder.
The AE picks products from the catalog. Compatibility rules validate the selection in real time. Invalid combinations flag with the conflict. The AE adjusts to a valid configuration.
The pricing calculator applies the volume break, industry discount, partner discount, multi year discount, and minimum margin rules automatically. The AE sees the running total with each rule application visible. The AE can request custom pricing which triggers approval.
Strkr AI drafts the scope sections, product descriptions, pricing narrative, and terms from the selected products and deal context. The AE reviews and tunes two sentences on average.
If pricing or terms trigger approval the request routes through the approver chain. Each approver sees the quote detail, the trigger reason, and approves or requests change on mobile. Approval cycle time drops from 11 days email based to under 2 days.
The AE sends the quote through the Strkr e-signature flow. The customer receives a branded signature link with the quote rendered and signature capture. The AE sees recipient view events (opened, read, signature pending).
The customer signs. The signature event triggers deal advancement to Closed Won, signed quote attaches to the deal record, scope converts to project kickoff, invoice workflow fires. The audit log captures the full flow.
Standalone CPQ (Salesforce CPQ, Oracle CPQ, Conga CPQ, DealHub, PROS) was built for enterprise selling in the era before AI drafting. In 2026 the architecture choice creates more cost than value for most mid market teams. The six reasons below are what Strkr onboarding hears on standalone CPQ escapes.
Salesforce CPQ typically ships with $120,000 to $380,000 implementation partner fees over 6 to 18 months. The partner builds the pricing rules, approval chains, and product configuration. Strkr ships the capability self serve with the admin console configuring the pricing rules in days.
Salesforce CPQ at $75 per seat plus Sales Cloud at $165 per seat equals $240 per seat loaded. Strkr Pro at $59 per seat ships the quoting module included. For a 20 rep team the Salesforce CPQ stack runs $57,600 per year. Strkr runs $14,160 per year.
Even native Salesforce CPQ has a complex data model split between Sales Cloud objects and CPQ objects. Reporting across the two requires joins. Strkr quote is a first class CRM object with the full data integrated.
The pricing rules and approval chains in Salesforce CPQ live in a complex admin configuration maintained by a specialized CPQ admin. The admin leaves. The configuration breaks. Strkr pricing rules live in a visual admin console that any firm admin can maintain.
Standalone CPQ ships quote generation but no AI drafted scope, no AI pricing narrative, no AI follow up. Strkr AI drafts scope sections, product descriptions, pricing narrative, and follow up emails from the quote context.
Salesforce CPQ implementation runs 6 to 18 months. For mid market teams the time to value is often longer than the time to the next pricing model change. Strkr quoting goes live in the standard 18 business day implementation.
The comparison below pits Strkr Pro at $59 per seat with quoting included against the standalone CPQ incumbents.
| Feature | Strkr | Standalone CPQ (Salesforce CPQ, Oracle CPQ, Conga CPQ, DealHub) |
|---|---|---|
| Product catalog with pricing rules | Yes with 12 rule default encoding. | Yes with heavy admin configuration. |
| Configuration validation | Compatibility rules on build. | Yes with heavy admin configuration. |
| Pricing calculator with volume break | Server side with audit. | Yes. |
| Approval workflow with chain | Native with Slack, Teams, mobile. | Yes. |
| AI drafted scope and narrative | From selected products. | Limited or absent. |
| E-signature native | Yes with audit log. | Separate signature subscription. |
| Implementation partner required | No. Strkr onboarding runs it. | Yes typical. |
| Implementation timeline | Eighteen business days. | Six to eighteen months. |
| Pricing | $59 per seat on Pro with quoting included. | $75 to $150 per seat plus CRM. |
| Admin complexity | Visual admin console. | Specialized CPQ admin typical. |
The playbooks below are patterns Strkr onboarding sees across quoting software replacement decisions in 2026.
A 42 rep SaaS ran Salesforce Sales Cloud plus CPQ at $240 per seat loaded. The CPQ implementation ran $280,000 over 11 months. Strkr onboarding ran a 32 business day migration consolidating pipeline and quoting into one surface. The CPQ admin role closed. Monthly spend dropped $150 per seat.
A 60 rep hardware OEM sold configured products (base unit plus 180 attachments with 42 compatibility rules). The configuration lived in a custom Salesforce CPQ build. Strkr onboarding configured the product catalog with the compatibility rule encoding. The AE could configure a valid quote in 11 minutes versus 42 minutes on the Salesforce CPQ.
An 18 rep professional services firm ran quoting in Excel templates with no formal pricing rules. Strkr onboarding configured the pricing rules in the admin console (hourly rate by role, fixed fee by scope type, retainer structure) and the AI drafted scope narrative. The AE team shipped consistent quotes from month one.
A 32 rep agency ran Conga CPQ at $125 per seat on top of a legacy CRM. The Conga admin had left 11 months prior and the configuration was increasingly broken. Strkr onboarding ran a 28 business day migration consolidating CRM and quoting into one surface. Monthly spend dropped $140 per seat and the admin burden eliminated.
A 24 rep manufacturer ran DealHub at $85 per seat for the quoting flow on top of HubSpot Sales Hub at $100 per seat. The data flow between the two was a Zapier bridge that broke every two to four weeks. Strkr onboarding consolidated to one surface. The Zapier dependency closed and the quote cycle time dropped 42 percent.
Book a 30 minute call. We will walk through the product catalog, the pricing rules, the approval chain, and the AI drafted scope with your current quoting setup. See the product detail at /product/products.
Strkr quoting covers the core CPQ capability (product catalog with pricing rules, configuration validation, pricing calculator with volume break and multi year, approval workflow with chain, AI drafted scope and narrative, e-signature, deal advancement on signature) with native CRM integration and flat per seat pricing. Salesforce CPQ, Oracle CPQ, Conga CPQ, and DealHub ship with deep CPQ capability for complex enterprise selling scenarios but create a two tool shuffle with the CRM and typically require a $120,000 to $380,000 implementation partner engagement. For most mid market teams the Strkr quoting capability covers the full requirement. For truly complex enterprise selling (300 person sales team, 2,400 SKU catalog with 42 pricing dimensions, deep ERP writeback) the standalone CPQ sometimes still fits better.
Strkr Pro at $59 per seat per month includes the quoting module. The AI Enhancement add on at $49 per month covering 5,000 AI calls flat powers the AI drafted scope and narrative. Salesforce CPQ lists at $75 per user per month on top of Sales Cloud Enterprise at $165 per user per month, loaded at $240 per seat before implementation. Oracle CPQ typically prices $140 to $240 per user per month. Conga CPQ typically prices $100 to $150 per user per month. DealHub typically prices $85 to $125 per user per month. For a 20 rep team the Strkr spend runs about $1,229 per month. The equivalent Salesforce CPQ stack runs $4,800 per month plus the implementation amortization.
The pricing calculator supports list price plus discount matrix (by percentage, by tier, by product), volume break pricing (per unit price adjusts at quantity thresholds), industry specific pricing (healthcare, financial services, education), partner discount, multi year discount (2 year 10 percent, 3 year 15 percent), minimum margin enforcement (prevents sale below cost plus margin threshold), bundle pricing (bundle A plus feature X at bundled rate), and custom pricing with approval. The pricing rules encode in the admin console as a visual rule builder. Changes propagate immediately to new quotes while existing quote drafts retain their original pricing until the AE refreshes.
The approval workflow configures per trigger condition (discount over 15 percent, discount over 25 percent, line total over $50,000, line total over $200,000, non standard terms, extended payment terms, custom legal, specific product combinations). Each trigger routes to the required approver chain (direct manager, sales manager, CRO, CFO, CEO, legal, finance). The chain can be sequential (CRO first, CEO second if value threshold crossed) or parallel (CFO and CRO in parallel, both required). The approval UX runs on CRM notification, Slack notification, Teams notification, and mobile. Approvers can approve, reject, or request change with comments. The audit log captures every step. Approval cycle time typically drops from 11 days email based to under 2 days.
Yes. The quoting module supports flat purchase, subscription (monthly, annual, multi year), usage based (volume tiered, usage overage), and hybrid pricing (flat base plus usage overage). For subscription pricing the quote defines the term, the per period price, the renewal date, and the ramp if applicable (year one at discount, year two at list, year three at list). For usage based pricing the quote defines the included volume, the overage rate, and the measurement period. The subscription or usage structure propagates to the invoice through the QuickBooks or accounting integration.
The median quoting software replacement migration ships in 18 to 32 business days end to end. The sequence is 3 to 5 days of discovery (pricing model review, product catalog inventory, approval chain mapping, AE workflow review), 5 to 8 days of catalog and pricing rule setup (product catalog import, pricing rule configuration, approval chain configuration), 7 to 14 days of pilot with the AE team running the live motion, and 2 to 5 days of full team cutover. For firms migrating off Salesforce CPQ with complex custom pricing rules the migration can run 42 to 60 business days with the Strkr onboarding team sequencing the pricing rule rebuild carefully.
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