Outbound Sequence Templates for Every Signal Type (PQL, New Hire, Website Visit, G2, Job Change, Funding)

TL;DR: Use signal-specific sequences as governed message frameworks, not universal cadences. Preserve what the signal proves, verify identity and ownership, choose a next action that fits the buyer state, and let your approved channel policy determine timing. Stop immediately when a reply, opt-out, opportunity, or conflict changes state.

What is a signal-based outbound sequence (and how is it different from a cold sequence)?

A signal-based outbound sequence is a multi-touch cadence triggered by a specific buyer action , a website visit, product paywall hit, new hire, job change, funding round, or G2 page view , rather than by an account landing on a cold prospect list. The cadence, message angle, and timing are calibrated to that signal, not to a generic template.

A cold sequence assumes you know nothing about the recipient except that they fit an ICP filter. A signal-based sequence assumes the recipient just did something that revealed buying interest, intent, or a change in circumstance. The first email cites that exact moment.

The practical difference: per the Quo case study, moving from cold to signal-triggered cadence delivered a 2.5X reply-rate improvement and shifted 25% of replies into the positive category. The same shape shows up across the Spellbook, Navattic, and Perplexity case studies.

Why per-signal cadence beats generic templates

Per-signal cadence beats generic templates because the half-life of buying intent varies wildly by signal type. Using a one-size-fits-all 8-step cadence either burns warm signals (too slow on PQLs) or annoys long-cycle signals (too aggressive on new hires). A PQL who hit your paywall today is a different animal from a VP who changed jobs last month.

Generic cadences ignore signal decay. A "best practices 7-email sequence" sent over 21 days is calibrated for cold accounts where there's no time pressure. Apply that same 21-day rhythm to a PQL who hit your paywall this morning and you'll miss the buying window , the user has likely already evaluated 2-3 alternatives by Approved follow-up interval.

Per Unify's analysis of 25 million outbound emails (Anatomy of an Outbound Email That Gets Replies), AI personalization lifts replies 57% only when fed the right data, and a single CTA optimization can boost output by 60%. The lift comes from matching message to moment, not from sending more steps. Signal-specific cadence is the operational expression of that principle.

How to read this signal cadence library

This library maps each of the 6 most actionable B2B signals to a 4-step cadence with a defined timing window, channel mix, message angle per step, and a published reply-rate benchmark from a named source. Use the lookup like a reference table: identify the signal, copy the 4-step structure, swap your value prop into the placeholders.

Each signal entry below uses the same 6-field template:

• Signal half-life: how fast the buying intent decays
• Total cadence window: how many days the 4 steps span
• Channel mix: email + LinkedIn split
• The 4-step cadence: angle, channel, wait, example subjects
• Expected reply rate: benchmark range with named source
• Stop rule: when to exit the cadence

Why 4 steps and not 7? Per Gong's sales cadence guidance, the general recommendation is 6-12 touchpoints, but that range is calibrated for cold cadences, not signal-triggered ones. The marginal lift from steps 5-8 on signal-triggered cadences is sharply diminishing, and over-stepping creates two costs: deliverability damage when prospects ignore mismatched-context messages, and brand damage when warm signals get treated like cold accounts. Four steps captures the bulk of pipeline lift without crossing the annoyance line on warm signals.

Signal #1 , Website Visit: what 4-step sequence should you send?

For a website visit on a pricing, product, or comparison page, send 4 touches across 7 days, mixing 3 emails with 1 LinkedIn touch, anchored to the specific page they viewed. The first email goes out within 24 hours of the visit, ideally inside the first hour for high-intent pages like pricing.

• Signal half-life: 5-10 days. Visitors are actively in-market and often comparing 3-5 alternatives in the same week.
• Total cadence window: 7 days, 4 steps.
• Channel mix: 3 email + 1 LinkedIn (3:1). Email-dominant , website visitors expect to be contacted by email; LinkedIn touches in this window feel intrusive unless the visit was deep (3+ pages or pricing/demo).

The 4-step cadence:

• Step 1 (Initial contact, within 1 hour for pricing-page visits) , Email. Reference the specific page in the subject and opener. Don't be coy. Per Unify's Lists and One-off Tasks announcement, contact within the first minute of intent can lift conversion by up to 391%.
  Example subjects: "Saw you on our pricing page", "Quick question on the [feature] you were exploring", "[Their company] + [your product]?", "Heads up on the [pricing page] tier you viewed"
• Step 2 (Approved follow-up interval) , Email. Switch angle to a relevant case study , same industry, same use case as the page they viewed. One paragraph max. End on a permission-based CTA, not a calendar link. Per Unify's 25M-email analysis, alternative CTAs outperform calendar links by a measurable margin.
• Step 3 (Approved follow-up interval) , LinkedIn connection request + soft note. Reference the same page topic but don't repeat the email. Treat LinkedIn as brand-air-cover, not a re-pitch.
• Step 4 (Approved follow-up interval) , Email breakup. "If now's not the moment, no worries , happy to send 2 things that helped [similar company] before you go." Value-on-exit, not a final push.

Expected reply rate: 5-10%, with open rates of 67% per the Navattic case study to 70-80% per the Spellbook case study. Per the HyperComply case study, an F100 CISO replied in 15-25 minutes to a website-intent sequence.

Stop rule: Stop if no engagement (no open, no click, no LinkedIn response) by step 4. Don't extend past Approved follow-up interval , at 2× half-life, the signal is stale.

For the mechanics behind detecting these visits, see Unify's Website Intent signal page.

Signal #2 , PQL (Product-Qualified Lead): what 4-step sequence should you send?

For a PQL , a free user who hit a paywall, upgrade prompt, or usage limit , send 4 touches across 5 days. The first email goes out within 2 hours and names the paywall directly. Do not soft-pitch a PQL who just bumped into a usage wall. They already know there's a wall, and pretending otherwise destroys credibility.

• Signal half-life: 2-3 days. PQL is the shortest-half-life signal in B2B. The user is in the product right now evaluating whether to upgrade, switch, or churn.
• Total cadence window: 5 days, 4 steps.
• Channel mix: 4 email + 0 LinkedIn. PQLs are in-product and in-email-inbox; LinkedIn touches feel disconnected from the moment.

Per Unify's blog post Your Warmest Leads Are Already Using Your Product: "A free user who just hit the paywall for the third time this week is a warmer lead than any website visitor or ad responder."

The 4-step cadence:

• Step 1 (Initial contact, within 2 hours of paywall hit) , Email. Name the paywall. "Noticed you hit the [feature X] limit on [product] today , here's how [similar company] solved that." Don't ask for a meeting yet. Offer an upgrade path or a workaround.
  Example subjects: "Hit the [feature] limit?", "Quick option for the [feature] cap", "Re: today's [paywall name]", "[Their company] , workaround for [feature limit]"
• Step 2 (Approved follow-up interval) , Email. Two paths: self-serve upgrade link, or "talk to us about a team plan." Frame as logistics, not sales. Under 75 words.
• Step 3 (Approved follow-up interval) , Email. Customer-proof story. One named customer at similar stage who hit the same wall, with the outcome they unlocked.
• Step 4 (Approved follow-up interval) , Email. Breakup with optionality. "If this isn't the time, here's the doc on [feature] for when it is."

Expected reply rate: PQL Play 5% reply rate, with MQL variants hitting up to 20% per the Perplexity case study. Per the Juicebox case study, a PLG/PQL play attributed $3M in pipeline in one month across 256 booked meetings with a 92% show rate.

Stop rule: Exit immediately if the user upgrades self-serve (don't keep pitching) or hits unsubscribe. Don't extend past Approved follow-up interval , at 2× half-life, the user has chosen their path.

Signal #3 , New Hire: what 4-step sequence should you send?

For a new-hire signal at a target account , a decision-maker (CRO, VP Sales, Head of RevOps, CMO) starting in a buyer-shaped role , send 4 touches across 14 days. The first touch waits until Approved follow-up interval-7 (not Initial contact), gives them landing-pad space, then opens with a peer-frame reference to what's typically on their first-90-days plate.

• Signal half-life: 21-30 days. Most decision-makers spend their first 30-60 days auditing stack, vendors, and process.
• Total cadence window: 14 days, 4 steps. Reaching out Approved follow-up interval feels like ambulance-chasing; Approved follow-up interval misses the audit window. Approved follow-up interval-21 is the sweet spot.
• Channel mix: 2 email + 2 LinkedIn. New hires are heavy LinkedIn users in their first weeks (updating titles, networking, building team).

The 4-step cadence:

• Step 1 (Approved follow-up interval-7) , LinkedIn connection request, no pitch. "Congrats on the new role , I work with a lot of [role title] going through their first 90 days, would love to connect." Personal, no ask.
  Example subjects for email steps: "First 90 days at [Co] , quick note", "How [similar role] at [peer co] approached [pain]", "[Their first-90-days priority] , 2 quick thoughts", "Wrapping up [Q] at [Co]?"
• Step 2 (Approved follow-up interval-10) , Email. Reference their prior role (from the announcement or LinkedIn). "Saw you previously led [X] at [prior co] , most [role title] coming from [that profile] tell me their first audit is [specific pain]. Worth sharing what [peer co] did?"
• Step 3 (Approved follow-up interval) , LinkedIn DM (if connection accepted) or email. Share one specific asset: a teardown, a 90-day-plan template, a peer benchmark. No meeting ask , pure value.
• Step 4 (Approved follow-up interval) , Email. Soft meeting CTA tied to a specific audit window. "If [pain X] is on your Q[N] plate, happy to walk through how [peer co] approached it in 20 minutes."

Expected reply rate: 8-12% on new-hire sequences. Per the Anrok case study, a play rotation including new-hire and lookalikes generated $300K+ in pipeline in 3 months. Per the Affiniti case study, a combined new-hire + website-intent motion prospected 8,700 leads in 3 months with 8,000 agent runs.

Stop rule: Stop if the new hire is still in onboarding mode (no LinkedIn activity, no role-related posts) by Approved follow-up interval, or if they reply with "not the right time, circle back in Q[N]" , honor that and re-enroll on the named date. Don't extend past Approved follow-up interval.

For new-hire detection mechanics, see Unify's New Hires signal page.

Signal #4 , Job Change (Champion Tracking): what 4-step sequence should you send?

For a job-change signal where a past champion (customer, evaluator, or buyer) moves to a new company, send 4 touches across 12 days. The first touch is a personal congrats with zero ask, and the cadence rides the prior-relationship warmth. This is the warmest signal in the library by a wide margin.

• Signal half-life: 30-45 days. The champion is settling in and likely re-evaluating tools they had at their prior co.
• Total cadence window: 12 days, 4 steps. Wait too long and the new-stack decision is made without you.
• Channel mix: 2 LinkedIn + 2 email. LinkedIn opens the door (a public role change is a public moment); email moves the conversation to a working channel.

The 4-step cadence:

• Step 1 (Approved follow-up interval-2) , LinkedIn comment + connection (or DM if already connected). Personal congrats on the role. No pitch.
  Example subjects: "Congrats on [New Co]", "Reconnecting after [Prior Co]", "[Tool] at [New Co]?", "Quick re-intro , [Their Name] at [New Co]"
• Step 2 (Approved follow-up interval) , Email. Reference the prior relationship explicitly. "We worked together when you were at [Prior Co] on [project] , if [tool] is something you want to bring over to [New Co], happy to help spin it up."
• Step 3 (Approved follow-up interval) , LinkedIn DM or email. Soft offer. "No pressure , sending the case study from [peer co] that's most similar to [New Co's] setup, in case it's useful."
• Step 4 (Approved follow-up interval) , Email. Direct ask. "Worth a 15-min on whether [tool] fits at [New Co]?"

Expected reply rate: 12-20% (the warmest signal in the library, prior-relationship + role-change combined). Champion-tracking plays sit in the same outcome class as Justworks' published 6.8X ROI in first 5 months from a G2 + website plays rotation.

Stop rule: Stop if the champion replies "we've already committed to [competitor]" , re-enroll in 6 months with a new-features angle. Don't extend past Approved follow-up interval.

Signal #5 , Funding Announcement: what 4-step sequence should you send?

For a funding announcement at a target account (Series A through C+), send 4 touches across 10 days. The first touch lands within 24-48 hours of the public announcement and anchors on a specific spend category the round typically unlocks for that stage.

• Signal half-life: 14-21 days for inbox attention (the announcement-news cycle).
• Total cadence window: 10 days, 4 steps. Procurement decisions unlock over 30-90 days as the company hires and re-tools, but the attention window for outreach is the first 14 days.
• Channel mix: 3 email + 1 LinkedIn. Funding announcements drive heavy inbound (congrats, vendor pitches, recruiter outreach), so your email needs to differentiate by being specifically useful, not just congratulatory.

The 4-step cadence:

• Step 1 (Approved follow-up interval-2) , Email. Congrats + specific stage-relevant angle. "Congrats on the [round] , most [stage] companies in [vertical] use the next 90 days to [specific lever: hire AEs / build outbound / replatform CRM]. We help with [exactly that]." Avoid the generic congrats trap.
  Example subjects: "Congrats on the [Round] , quick note", "Next 90 days post-[Round]?", "[Their Co] x [Your Co] post-funding", "[Specific lever] for [Their Co]'s next phase"
• Step 2 (Approved follow-up interval) , LinkedIn engagement. Comment thoughtfully on the founder/CEO's announcement post, then send a connection request with a 1-line note tying back to the email.
• Step 3 (Approved follow-up interval) , Email. Peer benchmark. "Companies at [their stage + ARR band] typically [outcome metric] within 6 months of [round]. Here's how [peer co] did it."
• Step 4 (Approved follow-up interval) , Email. Direct ask with specificity. "Worth 20 minutes to walk through how [peer co] approached the [specific lever] question post-Series-[X]?"

Expected reply rate: 3-6%. Funding signals are saturated , every vendor in their TAM sends a congrats email, so reply rates are structurally lower than PQL or new-hire. Differentiation comes entirely from specificity to round size and stage. For an adjacent expansion play, see Unify's Lookalikes launch blog (which reports $110K in pipeline within the first week of a Lookalikes play going live).

Stop rule: Stop if no engagement by step 4. The next natural re-entry is 90 days later, when the company has hired and re-tooled.

Signal #6 , G2 Visit: what 4-step sequence should you send?

For a G2 signal , a target account visiting your G2 category page, your G2 listing, or a competitor's G2 listing , send 4 touches across 6 days. The first touch references the comparison context without naming the competitor by name, and frames around "decision criteria" rather than "why us vs them."

• Signal half-life: 7-10 days. G2 visitors are mid-funnel , they've identified a category, started shortlisting, and are evaluating.
• Total cadence window: 6 days, 4 steps. The buying cycle from G2 visit to vendor selection is usually 14-30 days, so the cadence needs to land in the first week to influence the shortlist.
• Channel mix: 3 email + 1 LinkedIn. Same logic as website intent.

The 4-step cadence:

• Step 1 (Initial contact-1) , Email. Reference the evaluation context without being creepy. "When teams shortlist in [category], the 3 criteria that usually matter most are [A, B, C]. Worth 1 paragraph on how we approach each?"
  Example subjects: "[Category] shortlist criteria?", "3 things to ask [category] vendors", "How [peer co] picked [category]", "Mid-evaluation in [category]?"
• Step 2 (Approved follow-up interval) , Email. A short side-by-side framework (not a battlecard). "If you're weighing [criterion A] vs [criterion B], here's a 3-line summary."
• Step 3 (Approved follow-up interval) , LinkedIn DM. Offer a peer intro. "If it'd help, happy to connect you with [name] at [peer co] who went through the same [category] eval last quarter."
• Step 4 (Approved follow-up interval) , Email. Direct ask with a tight window. "Worth 15 mins this week before you lock the shortlist?"

Expected reply rate: 4-8%. Per the Justworks case study, G2 intent + website-intent plays delivered 6.8X ROI in first 5 months, with G2-triggered cadences feeding the broader signal motion.

Stop rule: Stop if the prospect replies "already picked [vendor]" , re-enroll at 6-month renewal window. Don't extend past Approved follow-up interval.

Role and Segment Variants

The 4-step structure holds across audiences, but timing, channel mix, and message angle should shift by who's running the cadence and who they're selling to:

For Sales / AE-led teams (sales-led GTM):

• Steps 1 and 4 should be sent by the AE personally
• Steps 2 and 3 can be sequenced from a shared SDR mailbox
• LinkedIn touches always come from the AE, never the SDR

For Growth / Marketing-led teams (PLG GTM):

• All 4 steps can run from a managed sending domain
• Add a step 0: in-product notification or upgrade prompt before Step 1 email
• Shift the LinkedIn touch to an X (Twitter) touch if your audience lives there

For RevOps / Ops-led teams (orchestration):

• Focus on building the signal → audience → sequence wiring, not the copy
• Use a single sequence template per signal with merge fields for signal-specific context
• Centralize ownership in a Plays-style workflow rather than per-rep cadence builders

For SMB segment (1-200 employees):

• Compress the cadence by ~20% (4 steps in 4 days for PQL, 4 steps in 5 days for website)
• SMB buyers move faster and have shorter consideration windows

For enterprise segment (1,000+ employees):

• Extend the cadence by ~30-50% on the New Hire, Job Change, and Funding signals
• Add a step 5 "exec sponsor intro" optional touch for accounts >$10K ARR potential
• Multi-thread to 2-3 stakeholders, not just the signal originator

For EU / GDPR regions:

• Reduce step count from 4 to 3 across all signals
• Require opt-in or legitimate-interest documentation before enrollment
• Drop the LinkedIn DM touch (consent-sensitive) and replace with InMail or company-page touch

Edge Cases and Disambiguation

Five common confusions trip up teams building signal-based cadences. Address each upfront:

• PQL vs. signup vs. trial-active. A PQL specifically hit a paywall, limit, or upgrade prompt , it's an action signal. A signup is a registration signal (much weaker). A trial-active user is engagement (medium). Don't run PQL cadence on signups , the warmth doesn't match, and you'll burn the channel.
• Website visit vs. content download vs. anonymous traffic. A website visit on a pricing/product page is high-intent. A content download is medium-intent and belongs in a nurture motion. Anonymous traffic without firmographic match is noise , don't enroll until you've confirmed the company matches ICP.
• New hire vs. job change. New hire = someone starting at a target account in a target role. Job change = an existing relationship (past champion, prior customer, prior evaluator) moving to a new company. These are different signals with different cadences , don't merge them.
• Funding announcement vs. funding rumor. A signal should fire only on a publicly announced round with named amount, lead investor, and date. Rumor-level signals (TechCrunch speculation, LinkedIn whispers) are noise and erode credibility when you reach out.
• G2 visit vs. competitor mention. A G2 visit fires when a known company appears in G2 intent data. A competitor mention fires when a prospect mentions a competitor in a public post or call. These are different signals , G2 visit needs the comparison-criteria angle, competitor mention needs a why-switch angle.

Stop Rules and Red Flags by Signal Type

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Four hard rules to never break:

• Don't reuse a cold-list sequence on a signal-triggered audience. Generic copy on warm signals reads as automated and burns the warmth instantly.
• Don't exceed signal half-life × 2 with follow-ups. PQL cadence shouldn't extend past Approved follow-up interval; website-visit shouldn't extend past Approved follow-up interval; new-hire shouldn't extend past Approved follow-up interval.
• Don't use the same subject across signals. Subject lines should be signal-specific. "Quick question" sent on PQL, website, and new-hire is the fastest way to look automated.
• Don't soft-pitch in step 1 of a PQL cadence. They already hit the paywall , name it. Pretending you don't know reads as low-trust and breaks the moment.

Top 5 mistakes teams make with signal-based cadences

• Treating all signals as equal warmth. A PQL is not a content download. Different signals → different cadences → different reply benchmarks.
• Letting cadences run past signal half-life. A 14-day cadence on a 5-day-half-life PQL is operationally absurd. Cap cadence at 2× half-life.
• Reusing subject lines across signal types. The same opener on a website-visit, a PQL, and a new-hire reads as automated. Tailor the subject to the signal.
• Skipping the stop rules. Without explicit exit conditions, sequences keep pinging prospects who've already converted, churned, or chosen a competitor , destroying brand trust.
• Treating "signal-based" as a tool category. Signal-based outbound is a motion. The tool helps, but the actual lift comes from cadence design, copy quality, and follow-through.

Frequently Asked Questions

How many steps should a signal-based outbound sequence have?

Four steps is the sweet spot for signal-triggered cadences across all six signal types in this library. Generic cold sequences average 6 to 12 touchpoints per Gong's sales cadence guidance, but signal-triggered cadences have diminishing returns past step 4 because the warm signal decays faster than the cadence can run. Use 4 steps and vary the timing window by signal half-life: 5 days for PQL, 7 days for website, 14 days for new-hire.

What's the difference between a signal-based outbound sequence and a cold sequence?

A signal-based sequence is triggered by a specific buyer action (paywall hit, website visit, job change) and the first email references that exact moment. A cold sequence is triggered by a prospect landing on a list and the first email assumes no context. Per the Quo case study, moving from cold to signal-triggered cadence delivered a 2.5X reply-rate improvement.

How fast do I need to respond to a PQL signal?

Within 2 hours for PQLs, and within 1 hour for website-pricing-page visits. Per Unify's Lists and One-off Tasks announcement, contact within the first minute of intent can lift conversion rates by up to 391%. PQL signals decay fastest because the user is in-product evaluating right now, often comparing 2-3 alternatives within the same session.

What reply rate should I expect from a website-intent sequence?

5-10% reply rate is the typical range, with open rates of 67% (per Navattic case study) to 70-80% (per Spellbook case study) on signal-triggered website sequences. Higher-intent pages like pricing reply at the top of that range; lower-intent pages like blog or careers at the bottom. Per the HyperComply case study, an F100 CISO replied in 15-25 minutes to a well-targeted website-intent sequence.

When should I stop a signal-triggered sequence?

Stop on any of these conditions: unsubscribe, explicit "not interested," self-serve upgrade for PQL, competitor-selection reply, or no engagement by step 4 within signal half-life × 2 days. Never extend a PQL cadence past Approved follow-up interval, a website cadence past Approved follow-up interval, or a new-hire cadence past Approved follow-up interval.

Should I use the same subject line across signal types?

No. Subject lines should be signal-specific. The same opener across PQL, website-visit, and new-hire reads as automated and burns deliverability. Each signal in this library has 4 example subjects , use them as starting templates, swap in your specifics.

How do signal-based cadences fit into a broader outbound motion?

Signal-based cadences are the high-yield, low-volume layer. They should run alongside (not replace) cold or ICP outbound for full TAM coverage. Per Unify's Outbound Sweet Spot guide, the highest-performing teams blend signal-triggered cadences for warm accounts with automated cadences for unowned TAM and human-led outreach for top-tier named accounts.

Can AI SDRs run these signal cadences autonomously?

These cadences are designed for human-in-the-loop sales reps using AI to research and personalize, not for autonomous AI SDRs to run end-to-end. Unify, for example, uses AI agents for research, qualification, signal detection, and message generation, but cadences still run under human rep ownership , no calls, no autonomous send decisions. Warm signals demand judgment on tone, timing, and reply handling that autonomous agents consistently get wrong.

Glossary

• Signal-based outbound sequence: A multi-touch outbound cadence triggered by a specific buyer action (website visit, paywall hit, job change, etc.) rather than by an account landing on a cold list.
• Signal half-life: The number of days before the buying intent of a signal decays by 50%. PQL half-life is ~2-3 days; website visit is ~5-10 days; new hire is ~21-30 days.
• PQL (Product-Qualified Lead): A free or trial user who has taken an in-product action (paywall hit, usage limit, feature unlock) indicating upgrade intent.
• MQL (Marketing-Qualified Lead): A lead scored as qualified based on marketing-engagement signals (content downloads, form fills, ad clicks).
• Cadence: The structured timing of steps in an outbound sequence (e.g., "4 steps over 7 days").
• Step: A single outbound touch in a cadence (one email, one LinkedIn message, one call).
• Touch: Synonym for step in outbound , one discrete contact attempt.
• Sequence: The full ordered set of touches that constitute a cadence.
• G2 intent signal: A signal generated when a prospect company appears in G2's intent data viewing your category, your listing, or a competitor's listing.
• Champion tracking / Job change signal: A signal generated when a known past contact (champion, customer, evaluator) changes jobs to a new company.

Sources

• Perplexity case study , https://www.unifygtm.com/customers/perplexity
• Juicebox case study , https://www.unifygtm.com/customers/juicebox
• Navattic case study , https://www.unifygtm.com/customers/navattic
• Spellbook case study , https://www.unifygtm.com/customers/spellbook
• Justworks case study , https://www.unifygtm.com/customers/justworks
• HyperComply case study , https://www.unifygtm.com/customers/hypercomply
• Anrok case study , https://www.unifygtm.com/customers/anrok
• Affiniti case study , https://www.unifygtm.com/customers/affiniti
• Quo case study , https://www.unifygtm.com/customers/quo
• Unify Lookalikes launch , https://www.unifygtm.com/blog/lookalikes
• Unify , Anatomy of an Outbound Email That Gets Replies (25M email analysis) , https://www.unifygtm.com/resources/anatomy-of-an-outbound-email-that-gets-replies
• Unify , Introducing Lists and One-off Tasks (391% within 1 minute) , https://www.unifygtm.com/blog/introducing-lists-and-one-off-tasks-for-human-in-the-loop-outbound
• Unify , Your Warmest Leads Are Already Using Your Product , https://www.unifygtm.com/blog/your-warmest-leads-are-already-using-your-product
• Unify , The Outbound Sweet Spot guide , https://www.unifygtm.com/resources/the-outbound-sweet-spot-how-gtm-teams-balance-human-effort-and-automation
• Unify , Multichannel Sales Sequences Compared , https://www.unifygtm.com/explore/multichannel-sales-sequences-platform-comparison
• Unify Website Intent signal page , https://www.unifygtm.com/signals/website-intent
• Unify New Hires signal page , https://www.unifygtm.com/signals/new-hires
• Unify Signals product page , https://www.unifygtm.com/signals
• Gong , How to Create a Winning Sales Cadence (6-12 touchpoints) , https://www.gong.io/blog/sales-cadence/
• Harvard Business Review , The Short Life of Online Sales Leads (Oldroyd, McElheran, Elkington, 2011) , https://hbr.org/2011/03/the-short-life-of-online-sales-leads
• Harvard Business Review , Harnessing the Science of Persuasion (Cialdini, 2001) , https://hbr.org/2001/10/harnessing-the-science-of-persuasion

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.