4 Powerful Allbound Playbooks for Pipeline Generation 2025
The Ultimate Allbound Guide (for Beginners)
Hey - itβs Alex - this time together with Florian Lussi!
Today we cover:
1οΈβ£ The 3 Allbound Fundamentals
2οΈβ£ The 5 Allbound Engine Components, incl. signal capturing and tech stack
3οΈβ£ 4 Powerful Allbound Playbooks (step-by-step)
Bonus: List of my vetted Go-to software tools for early-stage SaaS startups
In case you missed the last 3 episodes:
β The Ultimate Guide on Case Studies & Testimonials
β The LinkedIn Sales Navigator Guide
β The Ultimate SaaS SEO Guide
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What is Allbound & what are the problems of traditional Pipeline Generation?
Before we deep-dive, letβs quickly talk about what Allbound is & why itβs important, so we all have a common understanding.
Traditional pipeline generation, as companies have been doing for years, has been changing, and two things are fueling this:
β Trust has become important for buyers when making a purchase decision. Being a trusted expert in your field is a must-have.
β You must have heard this one quite a bit, but βspray and prayβ does not work anymore. You need to change your approach to outbound to make it more relevant & personal than ever.
So, B2B SaaS companies face the following challenges with traditional Pipeline Generation tactics:
β Not leveraging personal brands and intent signals systematically
β Inefficient manual list building instead of evergreen campaigns
β Poor lead quality and targeting, causing low engagement rates
β Generic automated outreach lacking personalization & relevance
β Not leveraging existing relationships systematically
What is Allbound?
βAllboundβ is an approach that tries to combine βInboundβ and βOutboundβ into one integrated approach to fix these challenges.
Allbound combines both inbound and outbound sales approaches into one integrated system, instead of keeping these as separate channels with different teams. (marketing versus sales) fighting for attribution.
Allbound marries typical top-of-funnel marketing activities (1-to-many communication) with mid-funnel activities typically handled by SDRs (1-to-1 communication).
Allbound is leveraging AI and automation, ensuring SDRs can focus on the RIGHT leads while automating the bulk of their manual workload.
The three key components of a solid Allbound strategy are:
1οΈβ£ Demand generation initiatives that create real intent signals (inbound)
2οΈβ£ Signal filter, scoring, and enrichment engine.
3οΈβ£ Relevant & personalized outreach (outbound)
To make this easy to understand, here is a simple example:
The founder is posting on LinkedIn
Person from target audience engages with the post (= low intent signal) and visits multiple website pages afterwards (= mid intent signal)
These signals are tracked, and the founder is reaching out to this person with a personalized and relevant LinkedIn message based on the viewed website pages.
The 3 Allbound Fundamentals
Allbound pipeline generation must always be tailored to your specific GTM motion.
If you get this wrong, you can quickly burn through your Total Addressable Market and close doors instead of opening them.
So letβs have a look at 3 Allbound fundamentals.
1. Align your GTM approach with your ICPβs Business Segment
When you read B2B pipeline advice on LinkedIn, you'll find polar-opposed opinions:
"Just closed 200k through my network. Shocking that human connections still work in 2025!"
vs.
"My AI outbound system built 450k in pipeline on autopilot. Networks are overrated."
The missing piece? GTM context.
Both approaches can work, but for entirely different GTM motions.
Different target customers and different ACVs require different engines (aka. GTM tactics).
The size of your deals (ACV) dictates how you approach your market.
For small deals, you cannot afford to run a high-touch motion, whereas for large deals, you often can and have to run a high-touch motion.
This is very important when you fine-tune and customize your allbound engine.
For example:
In a low-touch allbound engine: Website visitors are automatically approached with an automated email (after the AI qualifies them), whereas
In a high-touch allbound engine: Website visitors are qualified by the AI, but typically only a task is created (supplemented with account research by AI agent) for the Account Executive to follow up and reach out very individually.
Similarly, if you create a lead magnet for your GTM motion, this is maybe an ebook for a medium touch motion, but rather a very high-end, exclusive round table with relevant executives for high touch motion (e.g. CTO in B2B SaaS with engineering teams of +20 people in Germany).
Always look at pipeline generation advice through your very specific GTM-lens!
2. The 95-5 rule: In-Market vs.Out-Market Truth
A second very important fundamental is that only a fraction of your Total Addressable Market (TAM) is βin-marketβ (aka. actively looking for a solution right now) today.
Picture a city of 100 potential prospects. On any given day, 95 of them are not ready to buy because:
"Our current setup works fine"
"Never heard of this solution"
"Just signed with someone else"
"Don't see this as a priority"
The 5% buying today remember the brands they noticed BEFORE they were in-market -Brand Awareness!
Why is this important?
You want to stay top of mind with the 95% out-of-market buyer and leverage (intent) signals to know when they go from βout of marketβ to βin marketβ.
So (intent) signals are the best proxies to know when your target audience is ready to buy.
Yes, the reality is a bit more complex. The gist remains the same: keep top of mind for the 95% that are not buying today and understand when they start actively researching solutions.
3. Allbound requires a new skillset (GTM Engineers & modern SDRs)
The traditional SDR model: cold calling, emailing, list-building, and qualifying prospects, is outdated and leads to several inefficiencies:
Time waste: Up to 70% of an SDRβs time goes to non-revenue tasks like manual research and admin work.
Scalability issues: Scaling pipeline requires a direct increase in SDR headcount, making growth costly and unpredictable.
Qualification challenges: Without proper signals, SDRs often chase unqualified prospects, reducing efficiency.
The Core Issue: Misaligned Skillsets
Learn more about the role of the GTM engineer in the guide published by Matteo.
The SDRs perform two fundamentally different jobs requiring distinct expertise:
Technical/automation tasks: Managing the latest tools, data enrichment, and workflow optimization.
Human engagement: Building relationships, understanding buying intent, and strategic outreach.
Instead of relying on traditional SDRs, a hybrid approach improves efficiency:
GTM Engineers handle automation, optimize prospecting workflows, and integrate AI-driven signals.
SDRs shift focus to high-value conversations, engaging only when intent is clear.
Results:
SDR time spent on actual prospect conversations.
Scalable growth without direct headcount expansion.
Higher conversion rates by engaging based on buying signals.
By modernizing the SDR function, you can reduce headcount while increasing pipeline efficiency, which directly improves CAC.
Now, let's jump into the 5 components of an Allbound Engine and look at some practical examples.
πThis guide might be too long for your email inbox. So read the full guide here π
The 5 Allbound Engine Components
Allbound pipeline generation has 5 key components.
Go-To-Market Strategy & Sales Collateral: The foundation of your pipeline generation efforts, ensuring your messaging resonates with your ICP.
Demand Generation: Creating awareness and interest in your solution through various channels like content, paid ads.
Intent Signals & AI Automation: Identifying and acting on prospect signals that indicate buying intent through systematic processes.
Tools & Playbooks: Knowing the right tools and how to integrate them properly for the different allbound playbooks.
Outreach: The tactical execution of personalized communication based on intent signals.
In this guide, we will mostly focus on intent signals & AI Automation, and the tools & playbooks building on that component.
The other components have been covered well by previous newsletter episodes and SalesPlaybook, and we will link to relevant resources.
Component 1: Go-To-Market Strategy & Sales Collateral
The key factor that weβd like to stress again is that having your Go-To-Market strategy & sales collateral in place is imperative to make the most of your allbound strategy.
It is beyond the scope of this article, but luckily, some previous mrrunlocked guides can help you with this:
Clarity on your Ideal Customer Profile
Strong Sales Story & Messaging
Sales Collaterals (like sales deck, Case Studies, or SaaS Homepage)
Component 2: Demand Generation
People buy what they know.
Two key stats to help you understand the importance of this component:
80-90% of buyers have a predefined set of vendors in mind before researching. This is what we call a βconsideration setβ that buyers create before starting their search.
90% ultimately chose from this initial list.
Consider your purchasing behavior - you rarely buy from unknown brands without research, and B2B customers follow the same pattern.
This is why direct outreach alone rarely generates meaningful conversions. This is where demand generation comes in.
You need to execute marketing tactics that "generate" signals (aka. demand generation) to make sure you get on the βinitial listβ of your buyers (be on the βconsideration setβ).
Hereβs a list of key demand generation activities to get on the βconsideration setβ:
LinkedIn ICP Expansion: Send 20-30 connection requests daily to your target buyer persona. No selling, just connect, say hello, and build visibility (LinkedIn auto-connect campaigns)
LinkedIn Content: Publish 2-3 high-value posts per week to βwarm-upβ your network/market. Create a strong content strategy to make sure you attract the right audience.
Paid Search Ads: Create paid ads focused on building brand awareness and nurturing future buyers who arenβt yet looking for a solution.
Paid Social (LinkedIn Ads): Turn valuable organic content into thought leadership LinkedIn ads
Webinars: Run monthly webinars or quarterly summits with relevant topics that extend your companyβs network reach.
Influencer partnerships & Sponsorships: Get your brand in front of your ICP by sponsoring events, newsletters, or paying influencers for brand partnerships.
Value first Outreach: Cold outreach for demand generation means reaching out to people who havenβt heard of you yet with educational or problem-focused resources, not pushing them to book a call, so theyβll remember you when theyβre ready to buy. Use value-first LK campaigns, cold outbound guide, and high-value offer-based campaigns to learn more about it.
Once you have your demand generation motion in place, you need to know how to leverage the signals generated through demand generation.
Component 3: Intent Signals
The spectrum of signals is huge.
The comprehensive overview below gives you a better understanding of what's possible, but you can also get easily lost.
To avoid this, you must find the signals that are most relevant to your GTM motion, your specific product, and your stage of the company.
Not all signals are equal. They range from meaningless noise to highly actionable data.
Letβs have a look at some highly relevant signals for early-stage SaaS operators.
First-Party Intent: Direct Interaction Signals
First-party intent data comes from direct interactions with your company's assets and channels. These signals are the most reliable indicators of interest.
Content engagement
Signals created by people engaging with your LinkedIn content.
Intent Strength: π₯
Tools: Trigify, Teamfluence, Warmly, (Taplio), Reactin
Pricing Page Activity
Frequent visits to the pricing page often indicate buying interest.
Booked a Call & Discovery Quiz Completed
Strong intent signals prospects are actively engaged, exploring solutions, and ready for a conversation, but are they worth a qualification call?
New free trial signup
New signup for your product.
Intent Strength: π₯π₯π₯
Tools: Your CRM/Slack/Product Analytics Tool
Being early-stage? The founder should consider connecting with a prospect on LinkedIn + send (personalized) DM/email. We talked about this on the Founder LinkedIn Guide.
Second-Party Intent: Partner Network Intelligence
Second-party data comes from trusted partners and tools.
LinkedIn, the world's largest professional network with more than 1 billion members, is the primary source for most of this data, including the signals we'll discuss below.
However, we need specialized tools to extract data from LinkedIn so we can automate workflows. While a LinkedIn Sales Navigator license is powerful, it doesn't support many of the automations we'll cover.
Signals:
Monitor Job Changes
Understand when a champion changes their company or department.
Intent Strength: π₯π₯
Tools: Clay, LinkedIn Sales Navigator
Monitor Promotion
Understand when a champion is promoted.
Intent Strength: π₯π₯
Tools: Clay, LinkedIn Sales Navigator
New Hires
Monitor new hires of your ICP.
Intent Strength: π₯π₯
Tools: Clay, LinkedIn Sales Navigator
Competitor Engagement
Target LinkedIn profiles that engage with your competitors on LinkedIn.
Intent Strength: π₯
Tools: Trigify
Industry Thought Leader Audience
Target the audience of influential voices in your space.
Intent Strength: π₯
Tools: Trigify
Third-Party Intent: Market-Wide Signals
Market-wide signals that often allow us to infer intent or qualify prospects.
Signals
Technology Stack (Change)
Reveal technical environments. Often used for enrichment & segmenting. But you can also infer intent.
Intent Strength: π₯π₯
Tools: Builtwith, predictleads, (LinkedIn Sales Navigator)
Review Websites
Use customer reviews on platforms like G2 or Trustpilot to quickly identify common complaints, issues, and bugs in a prospect's product. Or use Negative reviews of your competitors' products as a relevant signal for your outreach.
Intent Strength: π₯
Tools: Capterra, G2, Trustpilot
News-Based Signals
Compliance Updates: New regulations can drive demand for solutions that ensure compliance.
Funding Rounds: A business receiving new investments often has budget flexibility and growth initiatives that require external solutions. Tip: The optimal moment for outreach isn't always immediately after a funding round, but you can infer when the next round should take place.
Market Expansion: Firms entering new markets or geographies often face new challenges and seek relevant solutions.
Intent Strength: π₯π₯π₯
Tools: News, RSS Feeds, Crunchbase, Google Alerts
Tech Stack Overview
Usecase: LinkedIn Signals
Trigify: monitors LinkedIn to identify prospects engaging with specific topics, your LinkedIn posts, or your competition's LinkedIn posts. Important: Trigify does not monitor LinkedIn profile views; for this, we recommend teamfluence.
Alternatives: Warmly, (Taplio), Reactin
Usecase: Website Visitors
syftdata.com: Identifies and deononymizes website visitors.
Similar tools: Snitcher, syftdata, leadfeeder, RB2B, Warmly, Koala
Usecase: AI Processing, Qualification, Contact Data Enrichment
clay.com: is the brain of our allbound engines.
It checks, qualifies, and scores leads. It also enriches contact data (waterfall from multiple data sources) and leverages AI to personalize messages.
Finally, you can automatically send a lead into an email or LinkedIn campaign if βrunning conditionsβ are met.
Extra tip: In order not to burn through too many expensive clay credits, you can integrate your open.ai subscription and data provider subscriptions with clay.
Usecase: CRM
Hubspot is a CRM platform that integrates seamlessly with many leading go-to-market (GTM) tools such as clay.
Alternatives: Pipedrive, Folk, Attio
Usecase: Email Outreach
smartlead, instantly, Lemlist all offer cold outreach sequencing and warmup.
Instantly & smartlead are great for large email volume, Lemlist for smaller volume and multi-channel sequencing (email & LinkedIn).
Usecase: LinkedIn Outreach
heyreach: Automates LinkedIn outreach, allowing multiple senders to reach numerous leads weekly, with a unified inbox for managing replies. Lemlist is another great option. Expandi is another tool; however, integration into clay is not native yet.
Below, you see a simplified visual of how the TechStack works together:
Syft & trigify pick up signals on the website and LinkedIn (based on your demand gen strategy), which are pushed to clay.com
Clay processes the signals and enriches contact data if required, and also syncs and looks up data in HubSpot/CRM (e.g., your do not contact list). Clay pushes relevant leads into a campaign.
Smartlead & heyreach send out an email, LinkedIn message, or simply a connection request. Alternatively, you can create a task in your CRM instead of automated outreach.
Again, if you are running a high-touch GTM motion, you may only have a couple of hundred accounts in your total addressable market. Rather than sending an automated email, you want to create a task for your Account Executive to reach out personally.
Component 5: Outreach
The final component is outreach. The whole Outreach is worth a guide itself, so we wonβt go into details on it in this guide and rather link to some great, existing resources where you can learn more about the different subtopics:
Ultimate Cold Outbound Guide
Now that you know all the components of allbound pipeline generation, let's review some specific playbooks that might be relevant for you.
4 Highly relevant Allbound Playbooks (Step-by-Step)
Now that you know how Allbound works, we want to share with you step-by-step how to capture the required signals and build the clay.com workflows to AI-automate and process these signals.
(If clay seems a bit overwhelming at first, you can start by focusing on capturing signals and later move on to the clay automations.)
Letβs dive into 4 highly relevant Allbound playbooks for your SaaS, including:
π LinkedIn Engagement Playbook
Hypothesis: People engaging with your LinkedIn content are more likely to buy your product and be responsive to outreach from you.
Purpose: Automate outreach to people who are starting to interact with your LinkedIn content and/or your competitor's content.
π Website Visitors Playbook
Hypothesis: People visiting your website have shown active interest in your solution and are more receptive to personalized outreach.
Purpose: Identify and engage website visitors with relevant, timely follow-up based on the specific pages they viewed.
π Champion Tracking Playbook
Hypothesis: When your champions change companies, they're likely to bring your solution with them to their new organization.
Purpose: Track job changes of your advocates and customers to create warm expansion opportunities at their new companies.
π Key Buyer Persona Hiring Playbook
Hypothesis: Companies hiring for specific roles related to your solution are actively looking to solve problems your product addresses.
Purpose: Monitor companies that recently hired a buyer persona for whom your solution is relevant.
Let's jump right into capturing signals for these 4 playbooks.
Playbook 1: π LinkedIn Engagement Playbook
Purpose: Automate outreach to people who are starting to interact with your LinkedIn content or your competitor's content.
How itβs done:
Get an account with trigify.io
Start tracking the profiles that are relevant to you, including your own profile, competitor profiles, and industry thought leader profiles.
Start tracking LinkedIn Engagement.
Filter for relevant buyer personas including job title, seniority, location etc.
Bonus Tips:
Number of likes: Define a minimum threshold of 3 LinkedIn engagements (likes & comments) to ensure some relevancy.
Clay: I prefer to do much of the filtering & qualification in clay.com to get more accuracy. However, if you only use trigify, the filtering is useful.
Auto-push LinkedIn engagement to clay or start outreach campaigns with Lemlist, Heyreach, Instantly, or Smartleads, or start engagement manually.
Bonus: How to engage with LinkedIn engagement?
We will show you 2 different approaches as inspiration.
Approach 1: Engagement with your personal content
When someone engages with YOUR content 3+ times:
Initial response: Thank them specifically for engaging with your particular post
"Hey [Name], I noticed you liked my post about [specific topic]. Thanks for the engagement! What part resonated most with you?" or βHey [Name], I liked your comment on my post about [topic]. Are you currently working on [relevant challenge or solution]?"Value-add follow-up: Share additional relevant information
"Since you found that interesting, you might also enjoy this [resource/article] that dives deeper into [related topic]."Relationship building: Ask about their experience with the challenge your content addresses
"I'm curious - have you been facing similar challenges with [problem your solution addresses] at [their company]?"
Depending on your GTM motion and the buyer person you are selling to, you can also go much more direct and ask for a call:
Direct Approach:
βHey [Name], I noticed you've been engaging with content about [topic]. We've helped similar [company specifics] companies in [country/industry] to [usecase] - resulting in [positive results]. If this sounds interesting, I'd be happy to [soft value-first offer] - no strings attached.β
β Example: Hi Alex, I noticed you've been engaging with content about B2B Pipeline Generation. We've helped similar mid-market companies in Germany cut SDR costs by 215% while boosting pipeline by 150%. If this sounds interesting, I'd be happy to assess your current pipeline generation approach and create a 3-month execution plan to achieve similar results - no strings attached.
Approach 2: Engagement with Competitorsβ & Thought-Leadersβ Content
Strategic approach: Rather than direct outreach, route these prospects to a LinkedIn connector campaign. This will likely expose them to your LinkedIn content in the future.
Playbook 2: π Website Visitors Playbook
Purpose: Identify and engage website visitors with relevant, timely follow-up based on the specific pages they viewed.
How itβs done:
Get an account with syftdata.com (person-level identification)
Install GDPR-compliant tracking (code) on your website.
Start understanding which accounts are visiting your website for how long.
Set up your customer ICP and Buyer Persona Profile.
Create a βlistβ to filter for your specific criteria, such as intent-level, CRM Stage (e.g. do not show companies that are currently a customer or at an opportunity stage)
Auto-push filtered website visitors to clay. Or push to HubSpot, Slack, start outreach manually, or natively integrate with Smartleads (no native integration to Heyreach and Lemlist at the moment).
Bonus: How do you engage with website visitors? This again depends on your GTM motion and website volume:
Very-High Intent: Get on the phone and call + send a LinkedIn connection request.
High Intent: Send a personalized message + send a LinkedIn connection request.
Low-Medium Intent: Send a LinkedIn connection request.
Playbook 3: π Champion Tracking Playbook
Purpose: Track job changes of your advocates and customers to create warm expansion opportunities at their new companies.
(You can also do this with Sales Navigator, but itβs more manual work than using Clay - see below).
How itβs done:
Get a clay.com account.
Import all customer email addresses from your CRM.
Click on βNewβ > βNew Workbookβ
Import CSV
Add enrichment
Search for LinkedIn Profile
Use Work Email
Enriched LinkedIn profiles of your customers.
Start monitoring job changes of your customers and engage with them if relevant by clicking on Actions > Monitor for job changes.
Push into your campaign table in clay and then into your prospecting tools (e.g. heyreach, lemlist) or reach out manually.
Especially if you are running a mid-high touch sales motion, itβs recommended that you reach out personally, once you understand -
a) The new company is within your ICP
b) The new job is relevant.
Sometimes the new job is not directly related to the problem you solve, however, a warm introduction by a former customer often helps to get a foot in the door.
Playbook 4: π Key Buyer Persona Hiring
Purpose: Monitor companies that recently hired a buyer persona for which your solution is relevant.
How itβs done: This is done very similarly to the βChampion Tracking Playbookβ above.
Get a clay.com account.
Import the domains of the accounts you want to monitor.
Go to βActionsβ > click on βMonitor for new hiresβ
Specify filters to only get relevant alerts. Alternatively, let AI decide whether it's a relevant profile or not.
Push into your campaign table in clay or reach out manually using one of the above frameworks, or send a LinkedIn connection request.
Now you know how you can run 4 powerful Allbound playbooks.
Yet they are NOT fully automated from signal detection to personalized messaging without βmanual workβ. For most early-stage founders, that level of automation is exactly right, because you will also handle a rather low volume.
However, if you want complete automation with AI, Florian and The Salesplaybook Team have a full section on how to automate Allbound with AI in their new Demand Generation 2025 Guide.
And if you want to get a 90-minute deep-dive session for free with the Salesplaybook Team, claim your session here. (Relevant for Companies with min. 500k⬠ARR)
Happy growth π
P.S. Get 3000 Clay credits for free π