Outbound abm and account targeting

Outbound, ABM, and Account Targeting

Overview

This skill covers outbound prospecting strategy, account-based marketing (ABM) execution, signal-based targeting, multi-channel orchestration, and personalization approaches for B2B pipeline generation. All practices are sourced exclusively from Exit Five podcast guests across 25 episodes. Where guests disagree, those disagreements are surfaced explicitly rather than resolved.

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Account Selection and ICP Targeting

Start with account selection before tactics. A poorly written email to the right account will outperform a beautiful campaign sent to the wrong account. Account selection is the highest-leverage decision in any ABM or outbound program. (Source: Chris Rack, Episode #150)

Use a three-layer signal framework to identify in-market buyers. Combine: (1) business catalysts — leadership changes, acquisitions, strategy shifts, product launches; (2) AI-driven intent signals — what accounts are searching for and on what themes; (3) first-party behavioral signals — content consumption, event participation, engagement with your brand. When all three layers align for an account, treat it as high-priority and act immediately. (Source: Lisa Cole, Episode #315)

Identify 600 target accounts monthly using weighted signals. Signals to weight include: new hires, past product usage, and known connections to existing customers. For each account, identify specific contacts and the signal that justifies outreach. (Source: Trinity Nguyen, Episode #306)

Qualify leads on two dimensions at the top of funnel. Immediately assess: (1) firmographic fit — company size, industry, geography, ICP alignment; and (2) buying intent signals — content downloaded, chatbot usage, demo requests. Leads scoring well on both dimensions have the best velocity through the sales cycle. Route high-scorers to sales; nurture others. (Source: Ruth Zive, Episode #175)

Use predictive pipeline scoring instead of traditional lead scoring. (Note: this is contested — see Where Experts Disagree.) Score accounts 0–100 based on a combination of behavioral data, technographic demographics, and engagement signals to predict which accounts will become pipeline. Allocate marketing spend and sales effort proportionally: highest-scoring accounts get full investment, mid-tier get partial investment, lowest-tier get minimal or no investment. (Source: Jean Cameron, Episode #315)

Use predictive user scoring to qualify site visitors before lead capture. Track pages visited and time spent, then compare against historical behavior data to predict conversion likelihood. This allows you to identify "qualified visits" before formal lead capture and enables more targeted nurturing. (Source: John Short, Episode #148)

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Signal Detection and Intent Data

Prioritize signal quality over volume when evaluating intent data. High-quality intent signals come from engagement with specific content types — peer review sites, case studies, comparison reports, pricing guides — that indicate active purchase consideration. Avoid providers claiming millions of signals monthly; volume often indicates noise, not actionable intent. (Source: Chris Rack, Episode #140)

Use interactive demo engagement as first-party intent data. Ungated interactive demos generate first-party signals about which accounts are interested in specific features or use cases. Track which accounts view which demos and what sections they engage with. This is more accurate than third-party intent data because you know exactly what the prospect cared about. Combine with any remaining third-party intent tools for a more complete picture. (Source: Natalie Marcotullio, Episode #176)

Monitor LinkedIn post engagement as a buying signal. Track comments and reactions on relevant LinkedIn posts — from your company, competitors, or influencers. Extract the list of commenters and reactors, filter for ICP fit, and run personalized outbound plays that reference the specific post and quote comments from other engaged users. (Source: Kevin White, Episode #179)

Identify accounts showing competitive intent and act before they finalize vendor selection. Use intent data to find accounts actively researching competitors via G2 reviews, comparison pages, and competitor websites. These accounts show purchase intent but may not know your solution. Create dedicated automation workflows to reach them with brand-building and educational content before they make a decision. (Source: Jean Cameron, Episode #315)

Start signal-based marketing manually before investing in technology. (Note: this is contested — see Where Experts Disagree.) Use a spreadsheet and manual process first: identify signals relevant to your business, monitor them manually (LinkedIn searches, website analytics), and run outbound plays against them. Once you validate the approach generates pipeline, then invest in technology to aggregate and scale. (Source: Kevin White, Episode #179)

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Outbound Personalization and Messaging

Personalize outbound messaging around the specific signal that triggered outreach. Combine signals into email copy that references the concrete reason for contact — for example: "Congrats on your new role. I noticed your company has [X signal], and you know [Sarah] who talked to us about [Y]." This gives reps a real reason to call and gives prospects a real reason to respond. A 1%+ reply rate is a viable benchmark. (Source: Trinity Nguyen, Episode #306)

Invest in deep research to find genuine personalization hooks. Research each prospect for authentic details: college attended, recent company moves, local events, shared connections. Reference these in outreach (internally called "friendly wages" at Qualified). This approach works better than generic outbound and remains effective even as inboxes become more crowded. When deploying AI agents for outbound, maintain this same high bar for personalization rather than using agents to scale generic messaging. (Source: Maura Rivera, Episode #301)

Use AI to deliver hyper-personalized, context-aware outreach at micro-segment scale. Target micro-segments of 50 accounts at a time and create outreach that references specific context — a recent office lease, a known business event. Relevance and timing matter more than volume. Tie together multiple data sources to create the right message at the right moment. (Source: Kady Srinivasan, Episode #276)

Build micro-audience personalization at the company level using AI. Move beyond segment-based marketing where all companies in a segment receive the same message. Use AI to dynamically optimize websites, create custom microsites, and build one-to-one newsletters tailored to individual companies based on data you have about them. Examples: dynamic homepage optimization based on the visiting company, separate microsites for individual target accounts, AI-generated personalized newsletters for specific contacts. (Source: Kieran Flanagan, Episode #257)

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Outbound Approach: Cold vs. Warm

(Note: this is a contested area — see Where Experts Disagree for the full debate.)

When using cold outbound, anchor every touch to a specific, verifiable signal. Generic cold outreach is ineffective. Cold outreach works when it references a concrete reason for contact — a job change, a product signup, a LinkedIn comment, a competitive research signal — and offers clear, additive value. (Source: Trinity Nguyen, Episode #306; Kevin White, Episode #179; Maura Rivera, Episode #301)

When using warm outbound, build the relationship before the pitch. Connect with prospects on LinkedIn before pitching, ask for introductions, or invite them to events with social proof (roundtables, LinkedIn Lives with recognized attendees). Reserve cold outreach for specific, high-value asks rather than generic pitch requests. (Source: Sara Lattanzio, Episode #268)

For early-stage companies, exhaust warm outbound to your existing network first. Identify all VPs, CMOs, finance leaders, and relevant stakeholders in your network who care about your problem. Reach out directly and ask for feedback on what you're building. Only after exhausting warm outbound and gathering product-market signals should you invest in content marketing and broader campaigns. (Source: Pranav Piyush, Episode #144)

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Multi-Channel Orchestration and ABM Execution

Trigger automated swarm workflows when an account reaches high-intent status. When a combination of signals identifies an account as high-intent, simultaneously activate: advertising across channels, alerts to field evangelists to engage in communities, alerts to sales reps to identify LinkedIn connections via Sales Navigator, and alerts to marketing to identify relevant contacts for outreach. This coordinated multi-channel approach increases visibility and engagement velocity. (Source: Jean Cameron, Episode #315)

Track and attribute conversions across integrated email, LinkedIn, and paid channels in a single CRM record. (Note: this is contested — see Where Experts Disagree.) Log every touchpoint chronologically — when an email is sent, when a LinkedIn ad is served, when a form is filled. Use unique identifiers (work email, personal email, contact ID) to ensure all touchpoints map to the same contact record. Use enrichment tools like Clay to stitch data together across channels. (Source: Alex Fine, Episode #245)

Structure LinkedIn ABM campaigns as a retargeting sequence, not a single campaign. Start with educational content (blog posts, thought leader ads) to build awareness among target accounts. Retarget those who engaged with a second message focused on your unique value proposition and features. Retarget again with conversion-focused messaging (demo calls, speed-to-value offers). Each step targets a different retargeting bucket based on prior engagement. (Source: Tim Davidson, Episode #127)

Use LinkedIn's native targeting for ABM without requiring a separate ABM platform. (Note: this is contested — see Where Experts Disagree.) Target by exact company name, job titles, departments, and interests within LinkedIn's ad interface. This native targeting is sufficient for ABM campaigns ranging from 100 to 10,000+ accounts and is the most cost-effective distribution channel for ABM. (Source: Tim Davidson, Episode #127)

Combine LinkedIn content with a targeted outbound sales motion (inbound-led outbound). Use LinkedIn content to create demand awareness and credibility, then layer a targeted outbound sales motion on top. Identify high-value prospects who engage with your content or visit your website, then use a quick 2-touch sales sequence to book demos with people you're highly confident will convert. Track the correlation between content impressions and inbound signups to measure impact. (Source: Adam Robinson, Episode #157)

Use semi-automated LinkedIn DM sequences to convert engaged commenters into leads. Identify high-value prospects who comment on your posts and match your ICP. Trigger a semi-automated DM sequence that thanks them for the comment and introduces your product or service. Organize incoming messages into separate folders (personal vs. automated) to keep your inbox manageable. (Source: Adam Robinson, Episode #157)

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ABM Program Design and Sequencing

Start ABM with close-loss or website re-engagement programs before awareness campaigns. These programs target accounts that are already brand-aware, problem-aware, and solution-aware, making it easier to measure success (meetings booked, pipeline generated). Once you've proven the model and gained sales buy-in, expand to fill the top of the funnel with awareness campaigns. This reduces variables and builds credibility for larger ABM investments. (Source: Mason Cosby, Episode #186)

Balance ABM with greenfield prospecting to avoid missing emerging opportunities. (Note: this is contested — see Where Experts Disagree.) ABM should not be your only GTM playbook. Maintain a greenfield mentality where you continue to test and explore new markets and customer types beyond your ABM list. This is especially important for early-stage companies where the next big customer may come from an unexpected place. (Source: Chris Rack, Episode #150)

Use data enrichment and digital outreach to identify and nurture contacts in new lines of business within existing accounts. When targeting a new division where sales lacks contacts, use data enrichment to identify relevant contacts in that division. Nurture them digitally to build awareness and gather intelligence for SDR/AE outreach. Follow up with personalized gifts and in-person events (customer dinners) to deepen relationships. (Source: Casey Patterson, Episode #331)

Design competitor-specific migration incentives to create urgency. Create targeted offers that incentivize customers to switch from specific named competitors by tying the incentive directly to their current vendor. Example: offer a 50% contract discount to customers migrating from Adobe, Sitecore, or Oracle CMS. This targets accounts already thinking about switching and provides a concrete catalyst to accelerate their decision timeline from "someday" to "this quarter." (Source: Gurdeep Dhillon, Episodes #280 and #203)

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Direct Mail and Physical Outreach

Use direct mail with QR codes to trigger a multi-channel retargeting sequence. Send postcards ($1.50 each) with unique QR codes to high-value targets. Each QR code links to a personalized Loom video audit relevant to the prospect's specific situation. Track QR code scans to identify engaged prospects. Those who scan receive a follow-up booklet ($35) at their office. Simultaneously, retarget QR code scanners across email, LinkedIn thought leader ads, and paid social with value-driven content. Reported results: 1,200 postcards sent, 22 meetings booked, $11.5K spend, $324K close value, $500 cost per meeting. (Source: Jeremy Chung, Episode #341)

Position gifting strategy based on the specific bottleneck in the sales funnel. Diagnose the specific metric that needs improvement — low meeting show rates, insufficient top-of-funnel pipeline, long sales cycles — and deploy gifting to address that specific problem. Act as a consultant to understand where the funnel is broken before recommending when and how to use gifts. (Source: Kris Rudeegraap, Episode #159)

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AI, Automation, and Tooling

Use AI to automatically identify prospects within target accounts and add them to outreach sequences. Identify prospects based on buying signals (new hires, job changes) stored in your CRM, automatically add them to outreach sequences, and generate personalized outbound emails. This augments ADR capacity without proportional headcount increase. Implement when you have a forcing function to test and validate before full rollout. Measure conversion and spend impact quarterly. (Source: Trinity Nguyen, Episode #219)

Deploy an inbound AI agent to follow up with all leads across email and website. Use an inbound AI agent to handle all website conversations and follow-up across multiple channels (email, website chat). The agent should follow up with leads pre- and post-event, re-engage old leads that showed past interest, and work previously lost opportunities. This creates 24/7 coverage and ensures no lead falls through the cracks due to manual follow-up gaps. (Source: Maura Rivera, Episode #301)

Use a centralized orchestration platform (e.g., Clay.com) to replace manual SDR tasks. (Note: this is contested — see Where Experts Disagree.) Connect multiple data sources, normalize data using AI, generate personalized email copy, dynamically create images, and sequence outbound campaigns from a single platform. This approach reduces headcount while improving conversion rates compared to traditional SDR-heavy models. (Source: Kris Rudeegraap, Episode #159)

Create a dedicated Growth Ops function to own outbound automation and AI tools. Establish a Growth Ops team (distinct from Revenue Ops) focused on orchestrating outbound campaigns, managing APIs and automations, centralizing AI tool management, and stitching together multiple data sources. This team owns programmatic outbound execution rather than delegating complex tools to individual contributors. (Source: Kris Rudeegraap, Episode #159)

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Early-Stage and Resource-Constrained Execution

Execute ABM with minimal resources using direct outreach and zero-cost platforms. A minimal viable ABM program requires: (1) a target account list in a spreadsheet; (2) direct personal outreach via LinkedIn and email from marketing and sales leaders; (3) basic automation tools for scaling outreach; (4) free or low-cost platforms. Example: invite target buyers onto a podcast, have a genuine conversation, and casually ask if they're interested in learning more. If not, nurture via email. Scrappy, imperfect execution beats polished campaigns sent to the wrong accounts. (Source: Chris Rack, Episode #150)

Conduct manual outreach to early product users to build relationships and enable content creation. In early stages, manually identify users who are signing up and using your product, reach out directly via calls or messages, and help them create content around their use cases. This non-scalable work builds relationships, uncovers use cases, and creates advocates. Get the motion started and understand what works before automating or scaling. (Source: Bruno Estrella, Episode #180)

Build new agency credibility through niche positioning and LinkedIn outbound without a public portfolio. Narrow your positioning to a specific niche (e.g., LinkedIn ads for B2B SaaS), then use your personal LinkedIn profile and website to communicate your background and expertise. Conduct outbound LinkedIn messaging to prospects explaining your experience and specific offer rather than relying on a public portfolio. Land your first 1–2 clients while still employed, then transition to full-time. (Source: Dave Gerhardt, Episode #137)

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Where Experts Disagree

1. Should outbound start with cold personalized outreach or warm relationship-building first?

Support summary: 6 vs. 2 in favor of cold-but-personalized outbound

Position A — Cold outbound works when deeply personalized with genuine hooks and signals

Maura Rivera (Episode #301), Trinity Nguyen (Episode #306), Kady Srinivasan (Episode #276), Kevin White (Episode #179), and Jeremy Chung (Episode #341) all advocate for cold outbound when it is anchored to specific, verifiable signals and genuine personalization hooks. Their evidence:

• Rivera: Deep research on each prospect (college, recent moves, shared connections) makes cold outreach effective even as inboxes become more crowded. The same standard should apply when deploying AI agents.
• Nguyen: 600 target accounts monthly using weighted signals, with personalized cold emails referencing specific signals, yields 1%+ reply rates — a viable benchmark.
• Srinivasan: AI SDRs should deliver hyper-personalized, context-aware cold outreach targeting micro-segments of ~50 accounts at a time, referencing specific contextual details (e.g., a recent office lease). Relevance and timing matter more than volume.
• White: Combining digital signals with ICP filtering generates 120% higher conversion than traditional ABM-only outbound. No prior relationship required.
• Chung: 1,200 cold postcards to VC GPs with personalized Loom video audits produced 22 meetings at $500 cost per meeting — cold outreach with a high-personalization, high-value hook produced strong results.

Position B — Pure cold outreach is saturated; build relationships before pitching

Sara Lattanzio (Episode #268) and Pranav Piyush (Episode #144) argue for warm-first outbound:

• Lattanzio: Explicitly argues to move away from cold email and cold DM campaigns that pitch directly. Pure cold outreach is saturated and ignored. Connect on LinkedIn before pitching, ask for introductions, or invite prospects to events. Reserve cold outreach for specific, high-value asks only.
• Piyush: For early-stage B2B SaaS, prioritize warm outbound to your existing network before investing in any other channel. Only after exhausting warm outbound should you invest in broader marketing.

Context dependency: Piyush's warm-first advice is explicitly scoped to early-stage companies with existing networks. Lattanzio's advice applies more broadly but may reflect a LinkedIn-centric context. The cold-personalized advocates are generally speaking to growth-stage or established companies with signal infrastructure. However, Lattanzio explicitly argues cold outreach is saturated for any company — a direct conflict with the signal-based cold outreach advocates who say it still works when personalized.

Trend note: More recent guests (2025–2026) cluster toward cold-but-personalized signal-based outbound, while the warm-first position appears in mid-2024 to mid-2025. This may reflect growing confidence in AI-driven personalization tools making cold outreach viable again.

What this means for you: If you have signal infrastructure and can achieve genuine personalization at the contact level, cold outbound appears viable based on the weight of evidence here. If you lack that infrastructure or are at an early stage with an existing network, warm-first outbound may be more appropriate. Do not treat either approach as universally correct.

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2. Do you need an ABM platform or paid tooling to run effective ABM?

Support summary: 5 vs. 2 in favor of platform/tooling investment

Position A — ABM can be executed with zero technology

Chris Rack (Episode #150) and Kevin White (Episode #179) argue no platform is required:

• Rack: ABM does not require expensive platforms. A minimal viable ABM program uses a spreadsheet, direct personal outreach, and free tools. Vendors have conflated ABM with display advertising, making ROI hard to prove. Creativity and personalization matter far more than technology.
• White: Start signal-based marketing manually with a spreadsheet. Validate the approach generates pipeline first, then invest in tooling.

Position B — Dedicated platforms and tools meaningfully improve ABM at scale

Tim Davidson (Episode #127), Kris Rudeegraap (Episode #159), Jean Cameron (Episode #315), Trinity Nguyen (Episode #219), and Alex Fine (Episode #245) advocate for tooling investment:

• Davidson: LinkedIn's native targeting is sufficient for ABM campaigns from 100 to 10,000+ accounts and is the most cost-effective distribution channel for ABM.
• Rudeegraap: Clay.com as a centralized orchestration platform replaces manual SDR tasks, reduces headcount, and improves conversion rates compared to traditional SDR-heavy models.
• Cameron: Predictive pipeline scoring on a 0–100 scale using behavioral, technographic, and engagement data requires dedicated tooling. Automated swarm workflows triggered by intent signals also require platform investment.
• Nguyen: AI-augmented ADR capacity using Salesforce-integrated tools is essential for scaling outbound without proportional headcount increases.
• Fine: An integrated "Allbound" strategy using Clay for enrichment to stitch together email, LinkedIn, and paid ad touchpoints in a single CRM record requires tooling to track unique identifiers across channels.

Context dependency: The no-platform advocates are often speaking to early-stage or resource-constrained teams. Platform advocates are typically at growth-stage companies with existing GTM infrastructure. However, Rack's position is a principled one — he argues ABM platforms are fundamentally misrepresented and overpriced regardless of stage — which creates genuine disagreement beyond just company stage.

Trend note: The no-platform position appears in mid-2024; platform and tooling advocacy is more prominent in late 2024 through 2025, possibly reflecting growing maturity and accessibility of AI-driven tools making the investment case stronger over time.

What this means for you: Start manually to validate your motion before investing in platforms. Once you have a proven approach generating pipeline, tooling investment appears to meaningfully improve scale, personalization, and attribution. Do not invest in expensive ABM platforms before validating your account selection and messaging.

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3. Should ABM be your primary GTM motion or balanced with broader prospecting?

Support summary: 3 vs. 1 in favor of ABM as primary motion

Position A — ABM should be the core GTM strategy

Jean Cameron (Episode #315), Mason Cosby (Episode #186), and Tim Davidson (Episode #127) treat ABM as the organizing framework for GTM:

• Cameron: Allocate marketing spend and sales effort proportionally based on predictive pipeline scores. The entire framework is account-centric.
• Cosby: Build toward full-funnel ABM coverage, starting with re-engagement and expanding to awareness. The entire framework is ABM-centric.
• Davidson: Structures the entire LinkedIn ad strategy around ABM retargeting sequences targeting specific account lists.

Position B — Balance ABM with greenfield prospecting

Chris Rack (Episode #150) explicitly warns against ABM as the only playbook:

• Rack: Over-focusing on a defined account list causes you to miss entire industries, company types, or buyer personas you don't yet know are a fit. Maintain a greenfield mentality alongside ABM. This is especially important for early-stage companies, but Rack frames it as a general principle — not just an early-stage one.

Context dependency: Rack's greenfield argument is most relevant for early-stage companies still discovering their ICP. The ABM-as-primary-motion advocates are generally speaking to companies with a well-defined ICP and existing customer base. However, Rack frames this as a general principle, creating genuine disagreement beyond stage.

Trend note: No clear chronological trend identified.

What this means for you: If your ICP is well-defined and validated, concentrating resources on ABM appears to drive better conversion and efficiency. If you are still discovering your ICP or are at an early stage, balance ABM with broader prospecting to avoid ICP tunnel vision that prevents discovering new market segments.

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What NOT To Do

Do not treat ABM as synonymous with display advertising. Display advertising is one possible tactic within an ABM strategy, not ABM itself. Many vendors have conflated ABM with their display ad products, making it difficult to prove ROI. True ABM can be executed with zero technology. (Source: Chris Rack, Episode #150)

Do not use AI agents to scale generic messaging. When deploying AI for outbound, maintain the same high bar for personalization as you would for manual outreach. Agents are not a license to send mass, undifferentiated messages. (Source: Maura Rivera, Episode #301)

Do not invest in intent data providers based on signal volume. Providers claiming millions of signals monthly are likely delivering noise, not actionable intent. Evaluate providers on the type and relevance of signals, not the count. (Source: Chris Rack, Episode #140)

Do not invest in ABM platforms before validating your motion manually. Validate that your account selection and messaging generate pipeline before committing to expensive platform investments. (Source: Kevin White, Episode #179; Chris Rack, Episode #150)

Do not run ABM as your only GTM playbook if your ICP is not yet fully validated. Over-focusing on a defined account list can cause you to miss entire industries or buyer personas you don't yet know are a fit. (Source: Chris Rack, Episode #150) (Note: this is contested — see Where Experts Disagree)

Do not rely on third-party intent data alone. First-party signals — interactive demo engagement, website behavior, content consumption — are more accurate because you know exactly what the prospect cared about, not just that they were "in-market." Supplement third-party data with first-party signals wherever possible. (Source: Natalie Marcotullio, Episode #176)

Do not deploy gifting as a one-size-fits-all tactic. Diagnose the specific bottleneck in the sales funnel before deploying gifts. Gifting without a clear funnel diagnosis wastes budget. (Source: Kris Rudeegraap, Episode #159)

Do not skip the manual phase of signal-based marketing. Jumping straight to technology without validating that your signals and plays generate pipeline wastes tooling investment. (Source: Kevin White, Episode #179)

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Sources

Episode	Guest	Title/Context	Date
#127	Tim Davidson	B2B LinkedIn Ads Consultant	2024-03-25
#137	Dave Gerhardt	Exit Five Founder	2024-05-02
#140	Chris Rack	CEO at Pipeline360	2024-05-13
#144	Pranav Piyush	Co-founder and CEO at Paramark	2024-05-27
#148	John Short	B2B Marketing Leader	2024-06-10
#150	Chris Rack	CEO at Pipeline360	2024-06-17
#157	Adam Robinson	Founder at RB2B	2024-07-11
#159	Kris Rudeegraap	CEO at Sendoso	2024-07-18
#175	Ruth Zive	CMO	2024-09-12
#176	Natalie Marcotullio	Head of Growth at Navattic	2024-09-16
#179	Kevin White	Head of Growth at Common Room	2024-09-26
#180	Bruno Estrella	Head of Marketing at Clay	2024-09-30
#186	Mason Cosby	Founder at Scrappy ABM	2024-10-21
#203	Gurdeep Dhillon	CMO at ContentStack	2024-12-19
#219	Trinity Nguyen	VP of Marketing at UserGems	2025-02-13
#245	Alex Fine	Co-founder at Understory	2025-05-12
#257	Kieran Flanagan	VP Marketing / Growth Advisor	2025-06-23
#268	Sara Lattanzio	B2B Marketing Leader / LinkedIn Influencer	2025-07-28
#276	Kady Srinivasan	CMO at Lightspeed	2025-08-25
#280	Gurdeep Dhillon	CMO at ContentStack	2025-09-08
#301	Maura Rivera	CMO at Qualified	2025-11-06
#306	Trinity Nguyen	VP of Marketing at UserGems	2025-11-24
#315	Jean Cameron	ABM Practitioner	2025-12-25
#315	Lisa Cole	B2B Marketing Leader	2025-12-25
#331	Casey Patterson	B2B Marketing Leader	2026-02-19
#341	Jeremy Chung	Founder / Agency Marketer	2026-03-28