Best of LinkedIn: Account-based Marketing CW 38/ 39

Adoreum Club Lunch at Mr Porter offered an energetic setting with PE associates, investors, and entrepreneurs

Movement from broad ICPs to problem fit segmentation and tiering grounded in business pain

Priority accounts selected intentionally rather than inherited from static lists

Regional nuance highlighted, with APAC examples showing localization beats one size fits all playbooks

Dream client shortlists used to shape bespoke pursuit strategies

Fit criteria validated with sales to reduce noise and sharpen focus

Enrichment quality and timeliness positioned as the throttle for downstream orchestration

Live intent used as the activation clock for sequencing outreach and content routes

Technology and usage data applied to sharpen audience fit and suppress waste across channels

GitHub repository activity operationalized as a practical signal for developer segments

Healthy skepticism applied to opaque AI intent sources to avoid false positives

Always on audience refresh guided by real engagement rather than fixed exports

Retargeting rules aligned to buying stages with stricter exclusions to prevent fatigue

LinkedIn Ads Manager insights used to validate company level engagement before scaling spend

Personalized Sponsored Content introduced to enable one to one experiences at paid scale

Creative and audience feedback loops connected to CRM to refine segments and suppress low intent exposures

Messaging simplified to problem, outcome, and next step for each buying group role

Modular assets designed for rapid swaps as new intent signals appear

Comment engagement used as a deliberate lever to lift response rates and open new conversations

Short test cycles focused on headline clarity and hook strength over heavy format changes

Personalization guided by account context rather than generic role templates

SDR sequencing triggered from media engagement and site intent with clear day by day steps

Handoffs defined by recency and threshold based gates to improve connect and acceptance rates

Playbooks standardized for first touch, follow ups, and meeting routes to reduce variance

CRM write backs prioritized so sales sees the same signals that drive marketing decisions

Re engagement plays for closed lost accounts framed with crisp triggers and specific value gaps

Attribution debates reframed toward opportunity quality, stage lift, and velocity diagnostics

Buying group progress markers favored over source based MQL tallies

Dashboards elevated segment health, audience freshness, and play performance for weekly decisions

Practical attribution modeled through LinkedIn and CRM data joins to close blind spots

Win rate analysis tied to message fit and timing rather than channel counts

Platforms evaluated on their ability to connect fit, enrichment, activation, and sales actions in one stack

Identity resolution and automatic suppression ranked as high leverage roadmap items

Lightweight utilities adopted to automate repetitive audience and creative tasks

Orchestration judged by reduction of manual swivel between media, analytics, and CRM

Data write back fidelity treated as a baseline requirement, not a premium feature

Fibbler positioned to integrate LinkedIn engagement with CRM for clearer B2B attribution

Paid collaboration with Tofu highlighted real time personalization paired with live intent

Vendor commentary stressed integrations over standalone features to cut operational drag

Ecosystem moves focused on connecting media signals with sales ready insights

Partner value measured by speed to actionable data inside core workflows

AI applied to audience refresh, message selection, and routing rather than abstract strategy work

Guardrails set by ICP and intent signals to keep generative personalization precise

Automation targeted at removal of manual hops between platforms to accelerate iteration

AI informed scoring used to prioritize accounts for SDR follow up windows

Human review kept in the loop where signal ambiguity could risk relevance