Built for teams quoting from a web browser without a CPQ project
Quote on the web, from the record, in a browser, with the deal already attached.
CPQ projects at the enterprise end take 9 to 18 months. The small-team pattern of a Google Docs quote emailed as a PDF loses deals to the race for signature. Strkr's web quoting runs in the browser, pulls products and pricing from the CRM, enforces discounting rules, routes approvals, and hands off to DocuSign or PandaDoc for the signature.
Teams that quote are typically stuck between three bad options. The first is a Google Docs template that the rep copies, edits, and emails as a PDF, which loses attribution, breaks on complex pricing, and leaves no record of what was sent. The second is an enterprise CPQ project (Salesforce CPQ, formerly Steelbrick; Oracle CPQ) that costs 150,000 to 500,000 dollars and takes 9 to 18 months to implement. The third is a standalone quoting tool (PandaDoc Standalone, Proposify, Qwilr) that lives outside the CRM and produces a two-system attribution problem. The pain points below are the ones Strkr's web quoting is designed to fix, with a bias toward keeping the quote on the record where everything else about the deal lives.
The Google Docs quote has no attribution
The signed PDF never joins the opportunity.
A rep sends a Google Docs quote as a PDF attachment. The prospect signs and emails it back. The signed PDF sits in a mailbox for 3 days before someone remembers to attach it to the opportunity. The deal data (quote value, discount, line items) never joins the CRM record. Strkr's web quote lives on the opportunity with every line item, discount, approval, and signature step attached.
CPQ projects run 9 to 18 months
Salesforce CPQ is a 500k-dollar implementation.
Salesforce CPQ (formerly Steelbrick), Oracle CPQ, and the enterprise CPQ products ship capable configuration but require a 9 to 18 month implementation at 150,000 to 500,000 dollars with a specialist partner. For teams that need web quoting now, the CPQ path is a different conversation entirely. Strkr's web quoting covers the common patterns without a CPQ implementation.
Standalone quoting lives outside the CRM
PandaDoc and Proposify produce a two-system problem.
Standalone quoting tools (PandaDoc, Proposify, Qwilr, Better Proposals) ship strong quote builders with limited CRM integration. The quote data lives in the quoting tool, the opportunity data lives in the CRM, and the two systems drift. Strkr's native web quoting runs on the CRM record directly, so quote data and opportunity data stay in sync by definition.
Discounting approval runs on Slack
The 15 percent discount approval takes two days of thread.
When discounting approval runs on a Slack thread or an email chain, the approval takes 1 to 3 days and the audit trail is scattered across tools. Strkr's discount-approval workflow runs on the quote record with approval rules by discount percentage, approver assignment, and audit retention. A 15 percent discount gets approved by the right person in minutes with a reason attached.
Pricing updates break historical quotes
The price list changed and the old quote still shows the old price.
Pricing updates on a Google Docs template system have no concept of versioning: when the price list changes, old quotes still reference the old prices until someone remembers to update. Strkr's pricing engine versions the price list, with each quote referencing the version in effect at creation, so historical quotes stay accurate while new quotes use the current pricing.
E-signature handoff is a manual step
The rep copy-pastes the PDF into DocuSign.
When the quote lives outside the CRM, the e-signature handoff is a manual step: export quote as PDF, upload to DocuSign, add signature fields, send. The round trip takes 20 to 40 minutes per quote. Strkr's web quoting integrates with DocuSign, PandaDoc, and HelloSign for one-click send-to-sign, with the signed document returning to the opportunity record automatically.
What the web quoting ships
Web-based quoting on the CRM record.
The capability cards below are what Strkr's web quoting ships out of the box. The design is biased toward the common quoting patterns (products, pricing, discounting, approvals, signature) without the complexity that drives CPQ projects to 18-month timelines.
Product catalog with pricing
SKUs, descriptions, prices, cost basis.
The product catalog carries SKUs, descriptions, list prices, cost basis, and discounting rules per product. Products support one-time, recurring (monthly, annual, multi-year), and usage-based pricing. The catalog versions on each pricing update, so historical quotes retain the pricing in effect at creation. The admin manages the catalog in the standard CRM admin UI.
Web quote builder
Line items, discounts, totals in a browser.
The quote builder runs in the browser as a line-item editor on the opportunity record. The rep adds products from the catalog, adjusts quantities, applies discounts, adds custom line items for one-off adjustments. The total calculates live with the discount approval status visible inline. The quote is a first-class record attached to the opportunity, not a document that gets exported.
Discount approval workflow
Rules by percentage with named approvers.
Discount rules fire by discount percentage: under 10 percent needs no approval, 10 to 20 percent needs sales manager approval, 20 to 30 percent needs VP approval, over 30 percent needs CFO approval. The approval request routes to the named approver with context: deal value, discount reason, prior deals with this account. The approval or rejection returns with an audit trail attached to the quote.
Multi-year and ramp pricing
Year 1, year 2, year 3 with configurable ramps.
Multi-year contracts support year-by-year pricing with configurable ramps (fixed amount per year, percentage uplift per year, custom per year). The quote displays each year's commitment with the TCV (total contract value) calculated. The pattern handles the common SaaS pricing structures without a CPQ configuration project.
E-signature integration
DocuSign, PandaDoc, HelloSign one-click send.
The send-to-sign flow integrates with DocuSign, PandaDoc, and HelloSign (Dropbox Sign) with one-click send: the quote renders as a signable document with pre-populated signature fields, the e-sign vendor sends the signature request, and the signed document returns to the opportunity record automatically. The round-trip time drops from 20 to 40 minutes of manual work to under a minute of click-through.
Quote versioning
Each revision retains with full history.
When the rep revises a quote (prospect pushes back on pricing, scope changes, additional products added), each version retains with the diff visible. The sales manager reviewing a deal sees the quote history: initial version at list, v2 with 15 percent discount, v3 with scope change, v4 as sent for signature. The pattern replaces the "which version did we actually send" question that defines standalone quoting tools.
Approval audit trail
Who approved what, when, with what reason.
The approval audit trail captures every approval event with approver, timestamp, discount or override requested, reason provided, decision rendered, and reasoning attached. For deals that come under review (quarterly audit, compliance review, dispute resolution), the audit trail provides the full story in one query. The pattern matters for public companies and regulated industries where discount discipline is auditable.
Signed document on the record
The final PDF with the signature attached.
When the signature completes, the final signed PDF attaches to the opportunity record alongside the quote version that was signed. The deal data (final total, line items, discount, signature date, contract terms) populates the opportunity fields automatically. The attribution tracking (which rep, which campaign, which touches) stays intact.
Quote-to-cash handoff
Signed quote hands off to billing cleanly.
The signed quote carries the structured data (line items, prices, start date, billing frequency, contract term) that downstream billing systems (Stripe Billing, Chargebee, Zuora, QuickBooks Online, Xero) consume via API or scheduled export. The pattern eliminates the common failure of a signed quote that requires a re-entry step at the billing system, which produces mismatches that compound over the renewal cycle.
Where Strkr beats standalone quoting or CPQ
Six places the alternatives actually break.
The common quoting alternatives (Google Docs template, enterprise CPQ, standalone PandaDoc) each have specific tradeoffs. The failures below are the ones Strkr's approach fixes by keeping the quote on the CRM record.
Quote on the opportunity record
The deal data lives in one place.
Standalone quoting tools produce a two-system attribution problem. Strkr's web quote lives on the opportunity record, so quote data and opportunity data stay in sync by definition.
No CPQ project required
The common patterns work out of the box.
Enterprise CPQ projects run 9 to 18 months. Strkr's web quoting covers the common patterns (products, pricing, discounting, approvals, multi-year, ramps) without a CPQ configuration project. For teams with highly custom pricing logic (complex bundles, usage-based tiered pricing, carrier-specific margin rules), Strkr may require custom configuration or integration with a vertical CPQ. For the mid-market common patterns, the native approach ships ready.
Approval workflow on the record
Audit trail is a baseline.
Slack-based approval chains lose the audit trail. Strkr's approval workflow runs on the quote with the audit trail attached, which matters for compliance and discount discipline.
Pricing versioning
Historical quotes stay accurate.
Template-based quoting breaks when prices change. Strkr's pricing engine versions the price list, so historical quotes retain the pricing in effect at creation.
One-click e-signature
Send-to-sign without a copy-paste cycle.
Manual DocuSign handoff takes 20 to 40 minutes per quote. Strkr's one-click integration with DocuSign, PandaDoc, or HelloSign drops the round-trip to under a minute.
Quote-to-cash integration
Billing picks up signed quote data automatically.
Standalone quoting tools require manual re-entry at the billing system. Strkr's structured quote data hands off to Stripe Billing, Chargebee, or QuickBooks Online via API, which eliminates the re-entry mismatch.
What this changes operationally
The outcomes of web quoting on the CRM record.
Web quoting changes three operational conversations: the daily close-the-deal rhythm, the quarterly discount-discipline review, and the annual pricing update. The outcomes below are what each conversation looks like with the quote on the record.
Deal velocity accelerates
Quote-to-sign cycle compresses by days.
When quoting runs on the record with one-click e-signature, the quote-to-sign cycle compresses materially. Reported cycle time compression across live customer accounts tracks in the 3 to 7 day range on mid-market deals, with the biggest savings on the manual steps (Slack approval chain, DocuSign handoff, signed-doc routing) that previously defined the quote cycle.
Discount discipline improves
The approval workflow enforces the rules.
When discount rules fire automatically with named approvers, the discount discipline tightens. Reports from customer accounts show the average discount percentage dropping 2 to 5 points after the first full quarter of running the workflow, which translates to meaningful margin recovery on the P&L.
Attribution stays intact end-to-end
The signed PDF carries the deal data.
When the signed quote lives on the opportunity with the full data attached, the attribution tracking stays intact from first touch through signed contract. The CRO sees which sources, campaigns, and touches drove revenue with the final deal data (signed amount, discount, term) attached rather than reconstructed.
Pricing updates ship without breakage
The version-safe engine handles the change.
When the pricing engine versions updates and quotes reference the version in effect, pricing changes ship without breaking historical quotes or in-flight deals. The CFO can run a pricing update on a Monday with confidence that in-progress deals stay accurate.
Billing handoff reduces revenue leakage
The quote-to-cash chain stays clean.
When the signed quote data hands off to billing automatically, the re-entry mismatch that produces revenue leakage disappears. Reported leakage reduction (invoices that mismatch the signed quote) tracks in the 1 to 3 percent of ARR range on teams that previously ran manual re-entry, which is a material P&L lever.
Audit posture holds for SOX and compliance
Every approval has a signer and a reason.
For public companies and regulated industries, the audit trail on discount approvals, pricing overrides, and contract terms provides the evidence that SOX auditors expect. The pattern replaces the "we had the rationale but it was in a Slack thread" answer with a structured audit log.
Head-to-head
Strkr web quoting vs standalone PandaDoc or Salesforce CPQ.
The practical quoting alternatives are a standalone tool like PandaDoc, an enterprise CPQ like Salesforce CPQ, or a Google Docs template system. Here is the comparison on the capabilities that drive the quoting motion.
Feature
Strkr
PandaDoc / Salesforce CPQ / Google Docs
Quote lives on CRM record
Native, inseparable from opportunity
Separate system or document file
Implementation time
2 to 4 weeks for standard patterns
CPQ: 9 to 18 months; PandaDoc: days; Docs: zero
Discount approval workflow
Native with named approvers and audit
PandaDoc: approvals available; Docs: Slack chains
Pricing versioning
Each quote references version at creation
Template systems: manual; CPQ: native
Multi-year ramps
Configurable per year
Varies; Docs manual
E-signature integration
One-click to DocuSign, PandaDoc, HelloSign
PandaDoc native; Docs manual
Approval audit trail
Full log on the quote
Varies
Quote-to-cash handoff
Structured data to Stripe, Chargebee, QuickBooks
Manual re-entry typical outside CPQ
Pricing
Included on CRM per-seat line
PandaDoc: 19 to 65 per user; CPQ: 125k+ annual
Admin certification required
No
CPQ: certified admin typical
How teams use Strkr
How teams run web quoting on Strkr today.
The playbooks below are from teams running web quoting on Strkr. Each is a live motion.
Mid-market SaaS, 32 AEs
Replaced PandaDoc with native web quoting.
A mid-market SaaS was running PandaDoc at 36,000 dollars annually across 32 AEs. The quote data in PandaDoc rarely matched the opportunity data in Strkr because of sync drift. The team moved to Strkr's native web quoting with DocuSign for the signature step. Quote-opportunity sync stopped being a conversation because they were the same record. The annual PandaDoc line came off the P&L, and the quote-to-sign cycle compressed by 4 days on average.
Growth-stage fintech, 24 reps
Discount approval workflow replaced a Slack channel.
A growth-stage fintech ran discount approvals through a #approvals Slack channel. The approval chain averaged 1.5 days with 15 to 20 percent of threads lost to context switches. The team moved to Strkr's approval workflow with rules by discount percentage: under 10 auto-approved, 10 to 20 to sales manager, 20 to 30 to VP, over 30 to CFO. Approval time dropped to under 20 minutes on average, and the ops lead reported discount discipline tightened materially (average discount dropped from 18.4 to 14.1 percent over the first full quarter).
A B2B marketplace sold 3-year contracts with year-over-year ramps that varied per customer. Each quote involved a custom spreadsheet calculation that the rep built, approved, and attached as a PDF. Mistakes on the spreadsheet math produced revenue leakage. The team moved to Strkr's multi-year quoting with configurable per-year ramps. The custom spreadsheet step disappeared, and the ops lead reported the reconciliation errors at month-end dropped from a typical 2 to 4 per quarter to zero.
Industrial manufacturer, 48 reps
Avoided a 180,000-dollar Salesforce CPQ implementation.
An industrial manufacturer was evaluating Salesforce CPQ at a 180,000-dollar implementation on top of existing Salesforce licenses. The CPQ scope included product catalog, discount rules, approval workflow, and e-signature integration. The team ran a side-by-side pilot of Strkr's web quoting on 30 percent of the sales team and discovered the common patterns covered without a CPQ implementation. The CPQ project cancelled; Strkr covered the full sales team at the standard per-seat line.
Agency selling AI consulting, 14 reps
Quote-to-cash handoff to Stripe Billing eliminated re-entry.
An AI consulting agency sent signed quotes to a bookkeeper for Stripe Billing invoice creation. The bookkeeper manually entered line items and totals, producing a 2 to 3 day lag and occasional mismatches. The team moved to Strkr's quote-to-Stripe integration, which pushes signed-quote data to Stripe Billing automatically on signature. The bookkeeper's weekly manual work dropped by roughly 4 hours, and the invoice-to-signed-quote mismatch rate dropped to zero.
Web quoting on the CRM record, with the signature step one click away.
Start a 14-day trial with the product catalog, web quote builder, discount approvals, and e-signature integration enabled. Run a real quote through Strkr and see the cycle time against your current flow.
Can Strkr handle complex product configuration like a CPQ tool?
For the common mid-market patterns (product bundles, tiered pricing, multi-year ramps, discount approvals, usage-based line items), yes. Strkr's web quoting ships the capability without a CPQ implementation. For teams with highly complex configuration logic (field-dependent product rules, carrier-specific margin tables, kit-of-kits bundling, complex eligibility logic), the enterprise CPQ products (Salesforce CPQ, Oracle CPQ) are deeper. The practical decision is to pilot the common quoting pattern on Strkr; if the pilot covers the actual use cases without extensive custom logic, Strkr fits. If the pilot surfaces configuration complexity that Strkr cannot cover, the enterprise CPQ path is the right choice.
How does the e-signature integration work with DocuSign, PandaDoc, or HelloSign?
The integration uses OAuth to connect the Strkr tenant to the e-sign vendor account. When a rep clicks send-to-sign on a Strkr quote, the quote renders as a signable document with pre-populated signature fields, the vendor sends the signature request, and the signed document plus structured signature data returns to the Strkr opportunity record automatically. The pattern works for DocuSign, PandaDoc, and HelloSign (Dropbox Sign) with full round-trip support. For other e-sign vendors (SignNow, Adobe Sign), the open REST API supports custom integration, which typically completes in a few days of engineering time.
How does the pricing engine handle multiple currencies and regional pricing?
The pricing engine supports multi-currency with per-currency price lists on each product. The quote currency sets at the opportunity level and applies to all line items. Exchange rates can hold at the quote level (locked at creation) or at the invoice level (locked at billing) depending on the tenant's preference. For teams running regional pricing (US pricing vs EMEA pricing vs APAC pricing), per-region price lists apply based on the opportunity region. The pattern covers roughly 90 percent of mid-market multi-currency quoting needs.
Can the quote be customized with the tenant's branding?
Yes. The quote template system supports custom branding including logo, color scheme, typography, header and footer content, legal terms language, and signature block layout. The template editor runs in the admin UI without requiring HTML or CSS skills, with advanced customization available for teams with design resources. For teams running multiple brands (private equity portcos, agencies with white-label offerings), per-brand templates apply based on the opportunity brand attribution.
How does the quote-to-cash handoff work with Stripe Billing or Chargebee?
When a quote is signed, Strkr writes the structured data (line items, prices, start date, billing frequency, contract term, discounts applied, custom fields) to the connected billing system via API. For Stripe Billing, the data creates a Subscription with the configured plan, quantity, and discounts. For Chargebee, Zuora, or QuickBooks Online, the data creates the equivalent subscription or invoice record. The admin configures the mapping once (which quote fields map to which billing fields), and subsequent signatures run through automatically. For teams with custom billing systems, the open REST API or outbound webhook on the signature event supports custom integration.
What about contract terms and legal language that varies per deal?
The quote template supports configurable sections including legal terms, master service agreement references, data-processing agreement attachment, and jurisdiction-specific clauses. For teams with complex legal workflows (negotiated redlines, custom contract terms per deal, approval chains that involve legal), Strkr can hand off to a contract-lifecycle-management tool (Ironclad, Juro, LinkSquares) via API after the pricing approval but before the signature step. The common pattern for mid-market teams is to use Strkr's standard terms with occasional per-deal customization in a redline flow managed through the e-sign vendor's redlining capability.
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