Best for
- B2B teams investing materially in LinkedIn Ads
- ABM programs that need account-level coverage views
- Organizations separating customer engagement from new business
Connect LinkedIn campaign delivery, company reach, audience penetration, Salesforce account journeys, and opportunity outcomes in one governed dashboard with new-business filters and attribution caveats.
An interactive dashboard with target-account penetration, company reach, campaign efficiency, CRM journeys, sourced and influenced pipeline, data-quality flags, and action queues.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
4 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
LinkedIn delivery metrics, audience coverage, and CRM outcomes are usually reported in separate views with incompatible denominators. This workflow snapshots the target universe, preserves company-match confidence and temporal order, and keeps sourced, influenced, pre-existing, and customer journeys distinct. The dashboard becomes useful for budget and account decisions without pretending approximate demographic data is exact.
Expected results
Monthly reporting preparation
10-16 hours saved
Scheduled extraction, reusable key maps, and a modeled dashboard replace repeated manual campaign and CRM joins.
Audience coverage
Reached accounts and denominator visible
Penetration is shown with dated target universes, counts, percentages, tier, segment, and privacy caveats.
Pipeline interpretation
Temporal journey classes
The model separates pre-opportunity, post-opportunity, sourced, influenced, customer, and unmatched activity.
Data trust
Account-level caveat flags
Match confidence, missing contact roles, approximate reach, low sample, and pre-existing opportunity remain visible.
Step-by-step workflow
The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
60-90 min
60-90 min
List the decisions the dashboard must support: audience expansion, account-list quality, budget allocation, creative coverage, new-business penetration, and sales follow-up. Define sourced, influenced, and pre-existing pipeline separately, including lookback windows and whether customer expansion is included. Set the company matching grain, fiscal calendar, currency, and treatment of subsidiaries. Document where LinkedIn demographic reporting is approximate or privacy-thresholded. Record the operation against stable identifiers such as reporting_period, campaign_id, company_name, company_domain, matched_account_id, preserve the raw source reference and capture time, and write any transformation or decision into the system’s change history rather than replacing the prior value. Use an explicit pass, warning, or hold disposition, attach the supporting evidence IDs, and assign every unresolved exception to an owner and due date before moving to the next step. Write down the decision criteria, owner, required inputs, and what is deliberately out of scope so the rest of the workflow does not drift.
A reporting contract with decision questions, attribution models, and privacy limitations.
Do not let `influenced` become a catch-all. Require eligible touch types, timing, and exclusions before any opportunity is counted.
2-3 hours
2-3 hours
Build a key map containing LinkedIn ad account, campaign group, campaign, creative, audience, and lead form IDs plus Salesforce campaign, account, contact, campaign-member, and opportunity IDs. Add account domain, normalized company name, parent account, customer status, target-tier, region, segment, and list membership. Preserve raw LinkedIn company names alongside normalized Salesforce accounts. Route uncertain matches to review. Record the operation against stable identifiers such as campaign_id, company_name, company_domain, matched_account_id, match_confidence, preserve the raw source reference and capture time, and write any transformation or decision into the system’s change history rather than replacing the prior value. Use an explicit pass, warning, or hold disposition, attach the supporting evidence IDs, and assign every unresolved exception to an owner and due date before moving to the next step. Use explicit fields and reason codes rather than gut feel, and keep the evidence for each score next to the recommendation.
A stable cross-system key map and ambiguous account-match queue.
Subsidiary handling changes account penetration dramatically. Decide whether reach at a child account counts toward the parent before building the metric.
Pro workflow preview
Previewing 2 of 14 steps
Get the remaining 12 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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