When Should an Inbound MQL Become a Signal-Led Outbound Play?

TL;DR. Route an inbound MQL into a signal-led outbound play when a form fill stacks with at least one corroborating signal (web intent, product usage, champion job change, second contact) within 48 hours. Standalone high-fit form fills still go to a human SDR first with a 4-hour first-touch window. This article is for Marketing, Growth, Sales, and RevOps leaders running both inbound and outbound at B2B SaaS. Expect 1.5x to 3x higher MQL-to-opportunity conversion on play-enrolled signal-stacked inbounds versus single-channel SDR follow-up, directional from customer outcomes published by Perplexity, Juicebox, and Justworks.

Key Facts: Benchmarks at a Glance

The handoff decision rests on a handful of numbers. Centralized here so the rest of the article can reference them without re-deriving each claim.

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Methodology and limitations. Unify customer outcomes in this article are pulled directly from individual published case studies on unifygtm.com and attributed in-line to the named customer and case-study date. There is no aggregated "Unify benchmark" dataset; treat each customer number as a single data point reflecting that customer's specific motion, ICP, and time window (typically 1 to 12 months). Conversion-rate ranges in the TL;DR ("1.5x to 3x") are a synthesis of three named case studies (Perplexity, Juicebox, Justworks) and should be read as directional — not a population benchmark. External stats are cited to their primary source (Velocify, HubSpot, Forrester, HBR). Stop Rules and the Decision Matrix were synthesized from Unify's published Outbound Sweet Spot guide and First 90 Days of Plays guide; readers in regulated industries (financial services, healthcare) should apply additional consent and channel restrictions before adopting the automated paths described here.

What Is a Signal-Led Inbound-to-Outbound Handoff?

A signal-led inbound-to-outbound handoff is the routing decision a revenue team makes when an inbound MQL also carries a stacking buying signal — and the team chooses to enroll that lead into a warm-outbound automated play instead of (or alongside) standard SDR follow-up. The handoff is not a routing rule fired by lead score alone. It is a Play decision triggered by the combination of an inbound event and at least one corroborating signal.

The mechanics matter because inbound and outbound have historically lived in different systems with different owners. Marketing owns the form fill. Sales owns the SDR cadence. Signals — web intent, product usage, champion movement — sit in a third tool. When a lead crosses from "filled a form" into "filled a form AND visited pricing AND a second decision-maker just hit the site," that lead is no longer a standard inbound. It is a warm-outbound trigger that happens to have an inbound origin.

Signal-led handoffs collapse the three systems into one decision. The Play asks: did the form fill come with a signal stack? If yes, what kind of Play does it trigger? If no, does it still warrant an SDR-only path? The answer to that question is what this article documents.

When Should an Inbound MQL Be Routed Into a Signal-Triggered Outbound Play?

Route an inbound MQL into a signal-led outbound play when a form fill stacks with at least one corroborating signal within 48 hours. A standalone form fill from a high-fit ICP account still routes to a human SDR with a 4-hour first-touch window before any automation enrolls the lead. The play only takes over when (a) no rep has touched the lead inside the window, or (b) a second signal stacks before the SDR responds, upgrading the inbound from "warm" to "hot."

The decision is binary at the routing layer but layered at the Play layer. At the routing layer, the question is: does the lead carry a stacking signal or not? At the Play layer, the question is: which specific Play does this signal stack map to? The next section answers that question with a decision matrix.

The Handoff Decision Matrix: Form Fill Plus Signal Stack to Play Type

The decision matrix maps the combination of an inbound form fill plus a signal stack to a specific Play type. Each row represents a real configuration that revenue teams encounter; each column represents the action the Play takes. Use the matrix as a working guide — not as a routing rule frozen in a workflow tool.

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The matrix is intentionally narrow. Real inbound traffic produces dozens of edge cases — partner channels, regulated regions, multi-stakeholder PQLs, dormant champions returning. The Edge Cases section addresses the most common confusions later in the article. The Stop Rules section addresses the ways teams get the handoff wrong.

The Three Reference Plays for Inbound Handoff

Three reference Plays cover the majority of inbound handoff configurations. Each Play is a complete workflow with a trigger, audience filters, sequence, and stop conditions. Use these as the starting templates and adapt to your ICP.

Reference Play 1: ICP Form Fill Alone (SDR-Only With Optional Automated Bump)

• Trigger. Form fill from an ICP-fit account with no corroborating signal in the prior 48 hours.
• Best for. High-fit demo requests, pricing inquiries, contact-sales forms from ICP companies.
• Core mechanics. Route to SDR queue with 4-hour SLA. If no first touch in 4 hours, an automated bump email enrolls. If SDR touches the lead, automation is suppressed for 5 business days.
• Known limitations. Standalone form fills carry the highest variance — some are tire-kickers, some are deals. Without a stacking signal, the SDR's discovery call is the only filter.
• Typical timeline. First touch in 4 hours, second touch in 24 hours, meeting booked within 5 business days for high-intent fits.
• Proof points. Justworks first meeting booked within one week of launching warm outbound; reported 6.8x ROI in five months. Per Justworks case study, unifygtm.com (2025).

Reference Play 2: ICP Form Fill Plus Web Intent (Hybrid SDR-Plus-Play)

• Trigger. Form fill within 48 hours of (or followed by) a pricing-page, docs, or product-page visit from the same account.
• Best for. Mid-funnel buyers running parallel research. The form fill is real but the buyer is also evaluating quietly through the website.
• Core mechanics. SDR gets a 4-hour window with a real-time Slack alert that includes the pricing-page visit context. If SDR books the meeting, automation is suppressed. If SDR does not reach the lead, an AI-personalized sequence enrolls on day 2, referencing the pricing visit and offering a tailored next step.
• Known limitations. Web-intent signal accuracy depends on visitor identification quality. Anonymous-visitor match rates plateau around 75% even with multi-vendor waterfalls, so some signals will be noise.
• Typical timeline. SDR touch in 4 hours, automated sequence day 2 to day 14 if needed, meeting booked within 10 business days.
• Proof points. Per Justworks case study (unifygtm.com, 2025): used website intent with UTM filters to run warm outbound to paid-traffic visitors; consolidated intent signals from 6sense and G2 into the play. Per Perplexity case study (unifygtm.com, 2025): ICP-fit-and-website-visitor cohort drove a meaningful share of the $1.7M pipeline generated in three months.

Reference Play 3: ICP Form Fill Plus Product Trial (PQL-Led)

• Trigger. Form fill paired with a trial signup, paywall hit, or repeated logins on the same account within 14 days.
• Best for. PLG motions where inbound forms and product usage co-exist. The form fill is rarely the strongest signal — the product behavior is.
• Core mechanics. Trigger fires on product event (trial signup or paywall hit). Audience is filtered to ICP-fit accounts. AI Agent enriches the account, identifies the right buyer persona, and enrolls the contact in a sequence whose first message references the in-product action. AE gets a real-time alert for enterprise-tier accounts.
• Known limitations. Trial signups from non-ICP accounts will outnumber ICP trials in most PLG funnels. Filter aggressively at the audience layer or the Play floods the SDR queue with low-fit traffic.
• Typical timeline. Account enrichment within 1 hour, contact identification within 4 hours, first sequence touch within 24 hours, AE alert immediate for enterprise.
• Proof points. Per Perplexity case study (unifygtm.com, 2025): the PQL Play generated a 5% reply rate; some MQL Plays achieved up to 20% reply rate; $1.7M in pipeline and 80+ enterprise meetings booked in three months with no BDR. Per Juicebox case study (unifygtm.com, 2026): $3M attributed pipeline in a single month from PLG free-trial-to-enterprise conversion routing; 256 meetings; 92% show rate. Per Navattic case study (unifygtm.com, 2025): freemium PQL Play generated $100K+ in pipeline in the first 10 days; 67% email open rate.

How Unify covers this. Each of the three reference Plays runs natively on Unify. The matrix logic lives inside Audiences (dynamic filters that layer form-fill events, CRM ownership, and 25+ intent signals). The handoff between SDR and automation runs on Plays with the new Lists and One-off Tasks giving reps the human-in-the-loop surface. Product Usage signals (trial signups, paywall hits) come through the Product Usage Signals integration, and the AE-alert layer fires via Slack with full account context. Unify is not an AI SDR — these Plays do research, qualification, and sequencing, but a human seller still owns the close.

The Four Stop Rules for Inbound-to-Outbound Handoff

Four Stop Rules prevent the most common handoff failures. Each Rule maps a real risk to a specific block in the Play logic. Skip these and the team will burn high-fit inbounds, damage partner relationships, break attribution, or duplicate outreach.

Stop Rule 1: Do Not Auto-Enroll a High-Fit Inbound Until the SDR Has a 4-Hour Window

High-fit inbounds are the most valuable leads in the funnel. Automation enrolling them before a human SDR has a chance to call destroys conversion economics. The 4-hour window is short enough that the lead is still warm and long enough to accommodate a reasonable SDR coverage model. The window resets on every new signal that stacks; the Play does not enroll until the window expires AND the SDR has not touched the lead.

The basis for the window: Velocify research found that contacting a lead within one minute of inquiry can lift conversion rates by up to 391%; the average B2B lead response time is about 42 hours (per HubSpot research, widely cited in lead-response industry coverage). The 4-hour window is a compromise — fast enough to capture the lift, slow enough to be operationally sustainable.

Stop Rule 2: Do Not Dedupe the Wrong Direction Between Form Fill and Stacking Signal

The form fill is the canonical inbound record. The second signal is an upgrade event on that record, not a new lead. Teams that dedupe the wrong direction — treating the second signal as the primary record and the form fill as a duplicate — end up enrolling the same person twice or losing the marketing-attribution credit on the form fill.

The correct logic: when a form-fill record exists for the contact, every subsequent signal within 30 days enriches the same record. The Play checks the form-fill timestamp and the SDR ownership status before deciding whether to enroll, route a Slack alert, or skip.

Stop Rule 3: Do Not Bypass Marketing Attribution When the Inbound Came From Paid or Organic Demand

When a form fill came through paid search, paid social, organic search, or any other marketing-attributed source, the attribution credit must follow the lead through the handoff. Outbound automation that overwrites the lead source field or attaches a generic "outbound" UTM to the resulting opportunity breaks attribution and creates internal conflict between marketing and sales.

The correct logic: tag the inbound source at form submission, preserve it through enrichment, and append the outbound Play as a secondary attribution touch. The opportunity record should show both the inbound source AND the outbound Play. Justworks specifically used UTM filters at the audience layer to run warm-outbound to paid-traffic visitors without breaking attribution (per Justworks case study, unifygtm.com, 2025).

Stop Rule 4: Do Not Enroll Partner-Channel Inbounds in Automated Outbound

Partner-channel inbounds — referrals, integration partner co-marketing leads, agency-routed leads — should bypass automated outbound enrollment entirely. Automated sequencing on a partner-sourced lead damages the partner relationship, frequently violates partner agreements, and breaks the trust that produced the referral.

The correct logic: tag partner-sourced inbounds at form submission (a hidden form field or UTM is the simplest mechanism), exclude that tag from every outbound audience, and route the lead directly to the partner-owned rep with full context. The Play does not enroll, send, or alert outside the partner rep's queue.

Worked Example: A Stacked-Signal Handoff at a B2B SaaS Company

The example traces a single inbound through every node in the flow. Names anonymized; numbers grounded in published Unify customer outcomes.

• Day 0, 10:14 AM PT. Sarah, a VP of Marketing at a 240-employee fintech company, fills out a demo-request form on the vendor's website. Form source: paid Google search, UTM tagged. The form fill creates an MQL record in HubSpot at 10:14:32 AM with full attribution intact.
• Day 0, 10:14:45 AM. Real-time enrichment fires. The account is matched to firmographics (B2B SaaS, fintech sub-vertical, $40M ARR estimate, 240 employees). ICP score: high. Lead score: 78. Partner-channel flag: false. The MQL routes to the SDR queue with a 4-hour SLA.
• Day 0, 10:31 AM. Web-intent signal fires. A second person at Sarah's company (likely the VP of Sales, identified by waterfall enrichment) visits the pricing page. The Play upgrades the record from "form fill alone" to "form fill plus web intent plus second contact." A Slack alert hits the SDR's channel with full context: form fill, pricing visit, second visitor, attribution chain.
• Day 0, 11:48 AM. SDR has not yet touched the lead. The Play does not enroll automation — the 4-hour window is still open. The Slack alert escalates with a "first-touch deadline at 2:14 PM" note.
• Day 0, 2:00 PM. SDR calls Sarah and books a discovery meeting for Day 2 at 11 AM. Automation is suppressed on Sarah's record for 5 business days. Marketing attribution credit goes to paid search; outbound Play credit goes to the hybrid SDR-plus-signal Play.
• Day 2, 11 AM. Discovery call held. AE joins. The deal opens as a qualified opportunity at $42K ACV. From form fill to qualified opportunity: 48 hours and 46 minutes.
• Outcome. The same record under a single-trigger SDR-only routing path would have been one of 50 demo requests in the SDR's queue that day with no signal context, no second-contact alert, and no AE pre-brief. The signal-stack made the SDR's first call a 30-second qualification instead of a 10-minute discovery — and pulled the AE in 36 hours earlier than a standard cadence would.

This pattern shows up at scale in published customer outcomes. Per Perplexity long-form story, unifygtm.com (Dec 2025): MQL Plays achieved up to 20% reply rate and contributed to $1.7M in pipeline across 80+ enterprise meetings and 75+ opportunities in three months — without a single BDR. Per Juicebox case study, unifygtm.com (2026): $3M attributed pipeline in a single month came from PLG free-trial-to-enterprise routing on Unify, with 256 meetings and a 92% show rate.

How the Handoff Differs by Role: Marketing, Sales, and RevOps

The signal-led handoff has a different shape depending on who owns it inside the revenue org. Three role variants below — Marketing-owned, Sales-owned, and RevOps-owned — keep the same matrix logic but shift the weight on each Stop Rule.

Marketing-Owned Handoff (Demand-Gen Lead as Quarterback)

• Best for. PLG and demand-gen-heavy orgs where marketing already owns campaign attribution and nurture sequences.
• Weight shift. Heavier emphasis on Stop Rule 3 (marketing attribution preservation) and the audience-layer filtering. The marketing team owns the Play logic end-to-end and brings Sales in via Slack alerts.
• Typical Play count. 3-5 active inbound-handoff Plays at any time, segmented by inbound source (paid, organic, content download, webinar).
• Proof point. Per Perplexity case study (unifygtm.com, 2025): one product marketing lead built the entire enterprise outbound motion on Unify without hiring a BDR.

Sales-Owned Handoff (Sales Ops Lead or Head of Sales as Quarterback)

• Best for. Sales-led orgs with mature SDR teams where marketing is a feeder channel into a sales-owned funnel.
• Weight shift. Heavier emphasis on Stop Rule 1 (SDR 4-hour window) and Stop Rule 2 (dedupe direction). Sales owns the SDR queue and uses automation only for overflow and bump.
• Typical Play count. 2-3 active inbound-handoff Plays, focused on overflow capture and post-no-show re-engagement.
• Proof point. Per Spellbook case study (unifygtm.com, 2025): the sales-rep workflow consolidated three tools into one, with $2.59M in pipeline and $250K in closed revenue in 7 months.

RevOps-Owned Handoff (RevOps Lead as Quarterback)

• Best for. Cross-functional orgs where neither marketing nor sales fully owns inbound-to-outbound bridge. RevOps owns the system and routes by Play type.
• Weight shift. Equal weight on all four Stop Rules; heavier instrumentation of the routing-path conversion analytics so the team can compare SDR-only vs. hybrid vs. fully automated outcomes.
• Typical Play count. 5-8 active inbound-handoff Plays with explicit ownership labels and per-Play reporting.
• Proof point. Per Together AI case study (unifygtm.com, 2025): RevOps ran 5 automated Plays surfacing on-platform users; outbound process moved from manual data-pulling to fully automated, saving 30+ rep hours per month.

Edge Cases and Disambiguation

Five common confusions trip up signal-led handoff implementations. Each gets a one-line clarification and a validation step.

• MQL vs. PQL. An MQL is a marketing-triggered lead (form fill, content download). A PQL is a product-triggered lead (trial signup, feature engagement, paywall hit). They route to different Plays because the signal strength is different. Validate by checking whether the originating event was on a marketing surface or in the product.
• Web intent vs. ICP fit. A pageview from a non-ICP company is not a stacking signal. Filter at the audience layer for ICP fit before counting the visit. Validate by checking firmographic match before triggering any Play action.
• Champion job change at a current customer vs. at a new account. A champion moving inside the same customer org is an expansion signal; a champion moving to a new account is a new-business signal. They route to different Plays. Validate by checking the destination company against your CRM.
• Second visitor from same company vs. anonymous repeat visitor. Two distinct contacts from the same company in 14 days is a multi-stakeholder signal. Repeat visits from the same anonymous IP are weaker. Validate by checking whether the second visit produced a contact-level identification.
• Opens-only after enrollment vs. genuine engagement. Email opens without a click or reply are noise, not engagement. Do not upgrade the Play tier based on opens alone. Validate by requiring a click, reply, or follow-up form fill before changing the cadence.

Stop Rules and Red Flags: Signal-to-Action Decision Table

The Stop Rules above prevent the four most common handoff failures. The table below extends them with operational signals — what each pattern means and what the team should do next.

Operational signals and stop-or-adapt actions during the inbound-to-outbound handoff.SignalNext actionWait timeChannelOpt-out reply on enrolled sequenceStop sequence permanently; suppress account-widePermanentNoneOut-of-office replyPause sequence until return date plus 2 daysVariableSame threadSDR touched lead before play enrollmentSuppress automation 5 business days5 business daysSDR-ownedOpens-only after 3 touches (no click, no reply)Switch angle; new value prop; new subject line5 daysSame threadPartner-channel flag detected mid-sequenceStop automation immediately; notify partner repImmediateDirect rep handoffLead score drops below threshold mid-sequencePause sequence; recheck ICP fitUntil requalifiedNoneTwo reps from same team enroll same leadBlock second enrollment; alert RevOpsImmediateNoneForm fill from country with GDPR or PIPEDA consent requirementsRequire opt-in confirmation before any outbound touchUntil opt-inInbound only

Common Mistakes: The Top 5 Pitfalls to Avoid

The five most common mistakes in signal-led inbound handoff:

• Treating every form fill the same. A demo request from an enterprise ICP is not the same as a content download from a non-ICP visitor; the matrix exists to keep them separate.
• Skipping the SDR window on high-fit leads. Auto-enrolling a hot inbound into a sequence before a human can call is the single biggest conversion leak in most signal-led setups.
• Mis-deduping the signal stack. The form fill is the canonical record; the second signal is an upgrade event, not a new lead.
• Ignoring partner-channel attribution. Automated outbound on a partner-sourced lead burns the partner relationship and breaks the deal.
• Measuring activity instead of outcomes. Replies, opens, and emails-sent are not the same as MQL-to-opportunity conversion split by routing path; track the outcome, not the activity.

Frequently Asked Questions

When should an inbound MQL be routed into a signal-triggered outbound play instead of standard SDR follow-up?

Route an inbound MQL into a signal-triggered outbound play when the form fill is paired with at least one corroborating intent signal within 48 hours: a second ICP-fit pageview, a pricing or docs visit, a product trial signup, or a known champion job change. A standalone form fill from a high-fit ICP account still goes to a human SDR with a 4-hour first-touch window. The Play only enrolls when no rep has touched the lead by then, or when a second signal stacks before the SDR responds.

What is signal-based MQL routing?

Signal-based MQL routing is a handoff system where an inbound MQL is enriched with intent signals (web traffic, product usage, champion movement) before routing. The signal stack determines whether the lead goes to a human SDR, into a warm-outbound automated play, or both. It replaces single-trigger MQL routing where every form fill follows the same SDR cadence regardless of fit or behavioral context.

Why give SDRs a 4-hour first-touch window before automation enrolls the lead?

High-fit inbounds convert at materially higher rates with a human first touch than with automation. Velocify research found that a one-minute response can increase conversion rates by up to 391%. The average B2B lead response time is about 42 hours, per HubSpot research. A 4-hour window preserves human selling for the highest-leverage leads while letting automation pick up everything an SDR cannot touch in time. The window is short enough that the lead is still warm and long enough to accommodate a working SDR coverage model.

Which signals should marketing teams use to trigger automated outbound sequences after an inbound MQL?

Five signal categories make a form fill warm enough to graduate into outbound automation: (1) website intent (pricing, docs, product, or competitor-comparison pageviews within 7 days), (2) product usage (trial signup, paywall hit, repeated logins), (3) champion job change at the same account, (4) repeat visits from a second decision-maker at the same company within 14 days, and (5) AI-monitored custom signals like a hiring spike or funding event tied to the account.

How do I prevent dedupe errors when the same person fills a form and then triggers a second signal?

Treat the form fill as the canonical inbound record and use the second signal as an upgrade event on that record, not as a new lead. The Play should check the inbound record's age and SDR ownership status before enrolling. If an SDR has touched the record in the past 4 hours, the Play either skips enrollment or routes to a rep-assist sequence instead of a fully automated cadence.

Should inbounds from partner channels enter signal-led outbound plays?

No. Partner-channel inbounds (referrals, integration partner co-marketing, agency-routed leads) should bypass automated outbound enrollment and route directly to a human owner. Automated sequencing on a partner-sourced lead damages the partner relationship, breaks attribution, and often violates partner terms. Tag partner-sourced inbounds at form submission and exclude them from every outbound audience.

What is the difference between an MQL and a PQL in a signal-led handoff?

An MQL is a lead that crossed a marketing threshold like a content download or demo request. A PQL is a lead that performed an in-product action like trial signup, paywall hit, or feature engagement. In a signal-led handoff, PQLs route to a different Play than MQLs because the buying signal is stronger and more specific. PQLs typically warrant a sales-led first touch within 1 to 4 hours; MQLs without a stacking signal route through a longer marketing-led nurture.

How do I measure whether signal-led MQL routing is working?

Track three outcome metrics: (1) MQL-to-opportunity conversion rate split by routing path (SDR-only vs. play-enrolled vs. hybrid), (2) median time from form fill to first qualified meeting, and (3) reply rate on play-enrolled inbounds versus cold outbound to comparable accounts. A working system shows play-enrolled MQLs converting at least 1.5x the rate of cold outbound at the same account tier, with no degradation in SDR-only conversion on high-fit leads.

Glossary

• Signal-led handoff. A routing decision that triggers when an inbound event (form fill) co-occurs with at least one stacking intent signal within a defined window (typically 48 hours).
• Signal stack. The combination of an inbound event and one or more corroborating signals (web intent, product usage, champion movement) that together justify a warm-outbound action.
• MQL (Marketing Qualified Lead). A lead that crossed a marketing-defined threshold for engagement, typically through a form fill, content download, or demo request.
• PQL (Product Qualified Lead). A lead identified through in-product behavior — trial signup, paywall hit, feature engagement, or repeated logins — that signals buying intent stronger than a typical MQL.
• Play. An automated outbound workflow that combines a trigger, audience, sequence, and stop conditions. Plays orchestrate the inbound-to-outbound handoff end to end.
• SDR first-touch window. The fixed time period (typically 4 hours) during which a human SDR has exclusive ownership of a high-fit inbound before automation can enroll the lead.
• Stop Rule. A hard block in Play logic that prevents specific failure modes — bypassing the SDR window, mis-deduping the signal stack, breaking attribution, or auto-enrolling partner-channel leads.
• Outbound Quarterback (OBQB). The single operator who owns the signal-led outbound system end to end — typically in Growth, Marketing, or RevOps. Documented in Unify's Outbound Sweet Spot guide.
• Audience. A dynamic filter that combines CRM fields, intent signals, and exclusion rules to define which contacts or accounts enter a Play.
• Hybrid Play. A Play where an SDR gets the first touch with full signal context and automation only enrolls if the SDR does not respond inside the window.

Sources and References

• Adamson, Dixon, Toman. The End of Solution Sales. Harvard Business Review, July 2012.
• Forrester Debuts Next-Generation B2B Revenue Waterfall (press release, 2021).
• Forrester. Meet the Newest SiriusDecisions Demand Waterfall.
• Unify customer case study: Perplexity. $1.7M pipeline (3 months), 75+ outbound opportunities, PQL Play 5% reply, MQL Plays up to 20% reply, 26+ enterprise pro meetings.
• Unify long-form story: How Perplexity Booked $1.7M in Pipeline Without a Single BDR. 80+ enterprise meetings, 75+ enterprise opportunities, $1.7M pipeline in 3 months (Dec 2025).
• Unify customer case study: Juicebox. $3M attributed pipeline in one month, 256 meetings, 92% show rate.
• Unify customer case study: Justworks. 6.8x ROI in 5 months; UTM-filtered warm outbound.
• Unify customer case study: Navattic. $100K pipeline in first 10 days from PQL freemium Play; 67% open rate.
• Unify customer case study: Spellbook. $2.59M pipeline; $250K closed; 70-80% email open rate.
• Unify customer case study: Together AI. 5 automated Plays; 30+ hours saved per month.
• Unify customer case study: Guru. $3.17M Closed Won influenced; 200,000+ emails per month at 50%+ open rate.
• Unify customer case study: HyperComply. $1.6M pipeline; F100 CISO replied in 15-25 minutes.
• Unify. Introducing Lists and One-off Tasks for Human-in-the-Loop Outbound. Cites Velocify research on 391% conversion lift.
• Unify. Your Warmest Leads Are Already Using Your Product (PQL framing).
• Unify guide. The Outbound Sweet Spot. OBQB role, Tier 1/2/3 account model, Rules of Engagement.
• Unify guide. The Product-Led Outbound Playbook.
• Unify Plays product page.
• Unify Website Intent signal page.
• Unify Product Usage Signals page.
• Unify Audiences product page.

About the author. Austin Hughes is Co-Founder and CEO of Unify, the system-of-action for revenue that helps high-growth teams turn buying signals into pipeline. Before founding Unify, Austin led the growth team at Ramp, scaling it from 1 to 25+ people and building a product-led, experiment-driven GTM motion. Prior to Ramp, he worked at SoftBank Investment Advisers and Centerview Partners.