Built for sales teams tired of the proposal-tool silo

A sales proposal that lives in PandaDoc or Proposify is a document, not a deal event, and the gap between the two costs you context at every follow-up.

Sales proposal software (PandaDoc, Proposify, Qwilr, Better Proposals, DocuSign CLM) runs the proposal workflow well but lives outside the CRM. The proposal gets built in the proposal tool, sent to the prospect, viewed in the proposal tool's viewer, and signed in the proposal tool's signing surface. The CRM gets a timestamp and a signed-PDF attachment. The rich engagement data (which sections the prospect read, which clauses got pushback, which pricing options drew focus) lives in a separate tool. Strkr's proposal surface collapses this.

Start free trial See pricing
What this audience is actually dealing with

The pains that bring buyers here.

Proposal software occupies a specific category of tool that solves a real problem (producing beautiful, legally-compliant, trackable proposals) while creating a new one (another data silo at the critical close-stage moment). The six pains below are the ones Strkr customers describe when their proposal-tool spend has reached the point where the operational drag outweighs the benefit of a specialty tool. Patterns show up across SaaS, services, agencies, and complex-sale industrial teams from 15 to 300 reps using proposal software.

The pricing-sync drift

The proposal pricing does not match the CRM quote.

The quote lives in the CRM, the proposal lives in the proposal tool, and the pricing on the two often drifts because the sync is manual: a rep updates the quote in the CRM, forgets to update the proposal in the proposal tool, and sends the stale proposal. The prospect catches the discrepancy and trust takes a hit. The syncing-pricing problem is a chronic source of lost deals that nobody talks about openly.

The proposal-view data silo

The engagement data stays in the proposal tool.

The proposal tool tracks viewer engagement (section view time, forward detection, specific clause attention). The data lives in the proposal tool's analytics surface. The CRM gets a simple opened-and-signed timestamp. The rep opens the proposal tool for the engagement data, the CRM for the opportunity context, and the sequencer for the follow-up thread. The 3-tool context switch costs 2 to 5 minutes per follow-up decision and compounds across the rep day.

The template-governance problem

Legal updates terms, 20 proposals go out with old language.

Legal updates the standard proposal terms (new liability clause, new SLA, new jurisdiction clause). The update propagates to the proposal tool's template library. Proposals already in flight continue with the old terms until a rep manually re-pulls the current template. The team ends up with proposals in production carrying inconsistent terms, which creates legal exposure that compounds over the quarter.

The approval-workflow break

Discount approval requires routing between tools.

A rep configures a proposal with a discount above the standard-authority threshold. The approval workflow lives in the CRM (where sales ops has to grant the discount) but the proposal lives in the proposal tool (where the pricing is set). The approval has to be routed between tools manually, which creates delay (the proposal sits in a pending state), confusion (sales ops cannot see the full proposal context), and occasional errors (the approved discount does not propagate to the proposal correctly).

The signed-contract loop break

The e-signature event does not reliably trigger the CRM.

The e-signature event fires in the proposal tool. The CRM is supposed to receive the event via webhook and advance the opportunity to closed-won, which triggers the deal-close workflow (customer success handoff, invoicing, implementation kickoff). The webhook reliability depends on the specific integration, and failures are common enough that teams end up with closed-signed deals that are not yet marked closed-won in the CRM. The disconnect delays revenue recognition and customer-success handoff.

The specialty-tool-stack cost

PandaDoc plus Dealhub plus DocuSign add up fast.

A mid-market B2B sales team often runs a stack of specialty tools: PandaDoc for proposals (or Proposify, Qwilr, Better Proposals), DocuSign for e-signature on contracts that extend beyond the proposal tool, Dealhub or a CPQ tool for complex pricing, Conga for deal-doc automation. Each tool carries per-seat pricing. The combined stack cost for a 20-rep team often runs 2,000 to 5,000 dollars per month, which is a specific line that proposals-plus-CRM consolidation can reclaim.

What the Strkr proposal surface ships

The capabilities that collapse the proposal-plus-CRM seam.

The cards below walk the proposal-surface pains with the Strkr capability that addresses each one, ordered by how often sales teams raise them.

Proposal on the opportunity record

The proposal lives where the deal lives.

The proposal is a first-class record on the opportunity, with the proposal content, the pricing, the versioning, the viewer engagement, and the e-signature status all on the opportunity record. The rep opens the opportunity to see the full proposal state rather than context-switching to a separate proposal tool. The proposal is a deal event, not an attached document.

Pricing pulled from the quote

No copy-paste between the quote and the proposal.

The proposal pricing section pulls directly from the opportunity's quote record. A change to the quote (adjusted discount, revised line item, new product-line add) propagates to the proposal immediately. The pricing drift between quote and proposal becomes impossible rather than discouraged. The specific trust incidents that stem from mismatched pricing drop to zero.

Section-level engagement tracking

Which sections the prospect read, specifically.

When the prospect opens the proposal, Strkr tracks section-level engagement: which sections opened, how long the prospect spent on each, which clauses got attention, which pricing options drew focus, whether the proposal was forwarded internally and to whom. The engagement data lives on the opportunity record alongside the rest of the deal context, which eliminates the context-switch for follow-up decisions.

Template library with legal governance

Legal updates propagate automatically.

The proposal template library is governed centrally: legal updates the standard terms, the propagation rolls out to all templates and all in-flight proposals that have not yet signed. The old-terms-in-flight problem goes away. The legal team sees which proposals are using which template versions, which supports the legal-exposure audit.

Native approval workflow

Discount approval in the same tool as the proposal.

The approval workflow lives in Strkr: a proposal with a discount above the standard-authority threshold routes to the sales-ops approver with the full proposal context visible. The approver sees the deal, the pricing, the discount request, and the specific justification. The approval decision propagates to the proposal immediately. The approval cycle time drops from days to hours typically.

Native e-signature

The signature event fires directly on the opportunity.

Strkr's native e-signature capability handles the signing workflow directly on the proposal record. The signature event fires on the opportunity in real time, which triggers the deal-close workflow (customer success handoff, invoicing, implementation kickoff) without the webhook-reliability dependency. For teams keeping DocuSign for enterprise contracts, the integration preserves the direct-event firing.

The proposal engagement signal, operationally

What reps do with the section-level data.

Section-level engagement data is only useful if reps know what to do with it. Below are the operational patterns Strkr customers run with the proposal signal, in the order they generate value during the close cycle.

Open-notification trigger

The follow-up call lands in the open-notification window.

When the prospect opens the proposal, Strkr fires an open notification to the rep. The ideal follow-up call lands within 2 to 24 hours of the open notification because the prospect's context is fresh. Reps who respond within the window convert at materially higher rates than reps who follow up on a generic timeline. The notification is a Strkr Messaging thread or a mobile push depending on configured preference.

Section-stall signal

The clause the prospect spent 4 minutes on has a question.

A prospect who spent 4 minutes on the SLA section (versus a typical 45 seconds) has a specific question about the SLA. The rep sees the section-stall signal and leads the follow-up with a specific SLA clarification rather than a generic recap. The specific signal replaces the usual "wanted to check in" follow-up with a targeted conversation that addresses the real friction.

Pricing-option-focus detection

Which pricing option the prospect spent time comparing.

For proposals with multiple pricing options (tiered pricing, modular configuration, service-level alternatives), Strkr tracks which specific option the prospect spent time comparing. The signal informs the follow-up conversation: if the prospect lingered on the mid-tier option, lead with mid-tier value. If they lingered on the high-tier option, probe for the committed need that would justify the upgrade.

Forward-detection signal

The prospect forwarded to legal, time to engage legal.

When the proposal forwards internally, Strkr detects the new viewers (if they are on the prospect's domain) and flags the forward on the opportunity record. If the forward lands with legal (detected via title or role data on the viewer), the rep can proactively engage with legal-friendly materials. If the forward lands with the economic buyer, the rep can propose a direct meeting. The forward signal shortens the committee-decision cycle.

Section-skip pattern

The section nobody reads is a redesign candidate.

When section-level data shows a specific section is consistently skipped across proposals, the section is a redesign candidate. Enablement flags the section for the next quarterly template refresh. The pattern turns the proposal-template refresh into a data-informed exercise rather than a design-opinion debate.

Signature-sequence coordination

Multi-party signing with sequential routing.

For proposals requiring multiple signatures (champion, procurement, legal, finance), Strkr's signing sequence routes the proposal through the required parties in a specific order with each signer notified when their turn arrives. The sequence is visible to the rep and the prospect, which eliminates the "who has it right now" confusion that stalls multi-party signing on standard e-signature tools.

The migration from the proposal-tool silo

How teams move off the standalone proposal tool.

Teams migrating from a standalone proposal tool (PandaDoc, Proposify, Qwilr, Better Proposals) follow a specific pattern. Below are the phases.

Phase 1

Audit the proposal-tool usage.

Catalog the active proposal-tool usage: template inventory, template version history, specific sections per template, approval workflows, e-signature configurations, historical proposals volume. The audit informs the Strkr-side template rebuild and the historical-proposal preservation plan.

Phase 2

Template rebuild in Strkr.

Rebuild the proposal templates in Strkr's template surface with the legal-governed sections, the rep-controlled overlay sections (specific pain recap, named case studies, custom pricing), and the dynamic pricing pulled from the quote. The rebuild is typically a 1 to 2 week exercise for a standard template inventory of 5 to 15 templates.

Phase 3

Historical proposal archive import.

For historical proposals that need preservation (audit requirements, specific-customer historical reference), the import workflow pulls the historical proposals from the standalone tool into Strkr as attached PDFs on the respective opportunity records. The historical engagement data (if available via API) imports alongside. The historical archive stays accessible without the standalone-tool subscription.

Phase 4

Parallel operation period.

A 2 to 3 week parallel period runs new proposals on Strkr while in-flight proposals continue in the standalone tool. The parallel operation catches template-rebuild gaps, workflow mismatches, and training needs before cutover. The team's weekly operating review runs on both tools to confirm the Strkr-side motion matches operational expectations.

Phase 5

Standalone-tool decommission.

At cutover, the standalone proposal tool decommissions as the active system. For teams keeping specific standalone-tool capabilities (DocuSign for enterprise contracts beyond proposals, for example), the integration preserves those capabilities while the proposal motion moves to Strkr. Standalone-tool subscriptions typically cancel at the renewal period.

Phase 6

Standing cadence post-cutover.

Post-cutover, the proposal motion operates on Strkr with the full-stack benefits: proposal on the opportunity, pricing pulled from the quote, section-level engagement tracking, legal-governed templates, native approval workflows, native e-signature with reliable event firing. The operational drag from the proposal-plus-CRM seam goes away.

Head-to-head

Strkr vs the standalone proposal-tool pattern.

The comparison below is Strkr's native proposal surface against the typical pattern of a standalone proposal tool (PandaDoc, Proposify, Qwilr) plus a separate CRM for the 25-rep mid-market B2B motion.

Feature Strkr Standalone Proposal Tool
Proposal location First-class record on the opportunity Separate tool with webhook-linked attachment to CRM
Pricing accuracy Pulled from the quote with real-time propagation Manually updated, drift between quote and proposal common
Section-level engagement On the opportunity record alongside full deal context In the proposal-tool analytics surface, cross-tool context switch
Template governance Legal updates propagate to in-flight proposals Available but typically applied to new proposals only
Approval workflow Native with the proposal context visible to approver Cross-tool routing with manual pricing propagation
E-signature event Native with direct event firing on the opportunity Via webhook with reliability dependency
Multi-party signing sequence Sequential routing with visible status Available but less integrated with deal context
Historical archive Attached to opportunity records permanently Lives in the standalone tool subscription
Stack cost per 25-rep team Per seat with full product including proposals Proposal tool plus CRM plus e-signature plus CPQ typically
Context switch per follow-up One surface for proposal, deal, and activity Three to five tools depending on stack sophistication
How teams use Strkr

How sales teams run proposals on Strkr.

The playbooks below are from Strkr customers who consolidated the proposal surface onto the CRM. Specifics vary.

22-rep SaaS mid-market

PandaDoc plus Salesforce consolidation.

A 22-rep SaaS mid-market team ran PandaDoc for proposals and Salesforce for CRM at a combined 3,800 dollars per month in tool spend. The consolidation to Strkr happened over 11 weeks with the template rebuild, historical archive import, and parallel operation. The pricing-mismatch incidents (reps sending proposals with stale pricing) dropped to zero post-cutover. Section-level engagement data informed the quarterly template refresh with specific signal: the SLA section drove the longest view-times in enterprise segments and was redesigned with a deeper explanation.

14-rep professional services

Proposify to Strkr with multi-option pricing.

A 14-rep professional services firm had been using Proposify with multi-option pricing (3-tier proposal structure). The migration preserved the multi-option pattern on Strkr with the specific option-focus detection: the data showed clients consistently spent 3-plus minutes on the mid-tier option and under 30 seconds on the entry-tier option, which informed the firm's pricing strategy. Entry-tier adoption dropped from 32 percent to 8 percent after reps leaned harder on mid-tier positioning in follow-up conversations, with the firm's average deal size climbing 23 percent.

35-rep agency new business

Qwilr plus HubSpot stack consolidation.

A 35-rep agency new-business team ran Qwilr for proposals and HubSpot for CRM. The specific operational pain was the legal-governance seam: terms updates from the legal team propagated to Qwilr templates but did not reach in-flight proposals, which created exposure. The consolidation to Strkr landed the legal-governance seam cleanly: terms updates propagate to in-flight proposals with the specific proposals-at-risk flagged for rep review. The legal team's quarterly audit became a formality rather than a cross-tool scramble.

18-rep enterprise sales

Approval-workflow consolidation across tools.

An 18-rep enterprise sales team had a complex approval workflow (discount above 10 percent requires sales ops, above 20 percent requires CRO, above 30 percent requires CFO) that routed between the CRM and the proposal tool manually. The approval cycle time averaged 3.2 business days. Moving to Strkr's native approval workflow with the proposal context visible to approvers dropped the approval cycle to under 1 business day on average, which materially accelerated the stage-5-to-close transition.

45-rep multi-product

Proposal surface replaced CPQ for standard-complexity pricing.

A 45-rep multi-product B2B team ran a CPQ tool alongside PandaDoc and Salesforce. The CPQ handled pricing complexity (multi-product bundles with volume discounts and term-length modifiers). The migration to Strkr found that 85 percent of the CPQ use cases fit Strkr's native quote-plus-proposal surface. The remaining 15 percent of complex pricing continued through a specialized CPQ for enterprise deals, with Strkr handling the standard-complexity motion. The stack cost dropped meaningfully while preserving the complex-deal CPQ for the specific cases that needed it.

Proposals on the deal, not in a separate tool.

Start a 14-day Strkr trial with the full proposal stack: proposal on the opportunity record, dynamic pricing from the quote, section-level engagement tracking, legal-governed template library, native approval workflow, native e-signature with direct event firing, multi-party signing sequence, and historical archive preservation during migration. Replace the standalone-proposal-tool-plus-CRM pattern with the collapsed surface the close cycle deserves.

Start free trial See pricing
Common questions

What buyers in this bucket ask most.

Does Strkr replace PandaDoc, Proposify, and Qwilr entirely.

For most proposal-software use cases, yes. Strkr's native proposal surface ships the core capabilities (template library with legal governance, dynamic pricing from the quote, section-level engagement tracking, multi-party e-signature, approval workflows). For teams with highly specialized proposal needs (interactive proposal elements with embedded video and complex visual layout, specific-industry proposal patterns, deep integration with a specialty tool like a construction-estimating platform), a specialty tool may still carry value alongside Strkr. The decision depends on the specific proposal-motion sophistication: teams at or below the common mid-market pattern typically consolidate; teams at the enterprise-complex-proposal end sometimes keep a specialty tool for the specific-visual surface.

How does Strkr's native e-signature compare to DocuSign.

Strkr's native e-signature handles the common signing patterns (standalone-signer, multi-party sequential, multi-party parallel, witness-signing) with legally-binding signatures that conform to ESIGN Act (United States) and eIDAS (European Union) standards. For enterprise contracts that require advanced capabilities (specific-industry regulatory requirements, biometric signing, advanced identity verification, deep integration with contract-lifecycle-management platforms), DocuSign CLM may still carry specific value. Strkr's native integration with DocuSign preserves the direct-event firing for teams that keep DocuSign for enterprise contracts while using Strkr's native e-signature for the proposal motion. Most teams migrating from PandaDoc or Proposify's native e-signature find Strkr's native capability sufficient; teams migrating from DocuSign for enterprise contracts often run a mix.

What does the dynamic pricing from the quote look like.

The proposal pricing section is a template block that pulls from the opportunity's quote record in real time: line items, quantities, unit prices, discounts, term-length modifiers, and the resulting totals. When the rep updates the quote (adjusts a discount, adds a line item, revises the term length), the proposal reflects the change immediately. The rep does not re-send the proposal to update the pricing; the prospect viewing the proposal sees the current pricing. The pricing-drift problem that chronically generates trust incidents on standalone proposal tools goes away. For proposals that have been sent and need a pricing update, the proposal versions with the specific-send timestamp recorded, which supports the audit trail for the sales-cycle changes.

How does section-level engagement tracking integrate with the deal cycle.

When the prospect opens the proposal, Strkr tracks section-level engagement in real time: which sections opened, how long on each, which specific clauses attracted attention, whether the proposal forwarded internally. The data lands on the opportunity record alongside the rest of the deal context (previous activities, call recordings, email threads, pipeline-stage history). The rep sees the engagement signal in context, which supports the specific follow-up decision. Managers can filter the engagement signal across the pipeline (which deals are stalling at the SLA section, which deals are landing on the mid-tier pricing option) to inform coaching and template refinement. The engagement signal is a working surface rather than a vanity-metric dashboard.

What does the legal-governance template model look like.

The proposal template library in Strkr is organized by section with per-section governance: standard legal terms (liability, SLA, jurisdiction, termination) stay locked to the legal-team template with the current approved version, rep-overlay sections (specific pain recap, named case studies, custom pricing commentary) are rep-controlled, pricing section pulls from the quote. When legal updates a standard-terms section, Strkr propagates the update to all templates and flags in-flight proposals that have not yet signed. The legal team sees which proposals are using which section versions, which supports the legal-exposure audit. The pattern replaces the usual Google Doc legal review cycle with a governed template-plus-propagation workflow.

How long does the migration from a standalone proposal tool take.

Typical migrations complete in 7 to 11 weeks: 1 to 2 weeks proposal-tool audit, 1 to 2 weeks template rebuild in Strkr, 1 to 2 weeks historical archive import if needed, 2 to 3 weeks parallel operation, 1 week cutover. Teams with simpler template inventories (5 to 10 templates, standard section structure, straightforward approval workflow) can complete in 5 to 7 weeks. Teams with complex inventories (20-plus templates, specialized sections per industry, multi-level approval workflow, deep historical archive) typically run 11 to 16 weeks. The migration is non-disruptive to the sales motion during implementation because the parallel period supports in-flight proposals in the standalone tool while new proposals move to Strkr.

Also built for

Related audiences.

Sales Presentation Playbook Closing Phrases Playbook Sales Closing Techniques Sales Customer Management CRM Contact Management For Mid-Market

Try it free. Bring your team next week.

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.

Start free trial See pricing