How to conduct a B2B Marketing Audit in mid-2025 (47 steps + AI alternatives)

Most in-depth B2B marketing audits take 4-6 weeks and cost £10,000+. This guide shows you exactly how to do it yourself in 47 steps—or how AI can deliver the same insights overnight.
Stefan Finch
Stefan Finch
Digital Strategy
  • Jul 4, 2025
  • 18 min read

A B2B marketing audit is a comprehensive evaluation of your marketing strategy, tactics, and performance. Unlike B2C audits that focus on mass market appeal, B2B audits must account for complex buyer journeys, multiple stakeholders, and longer sales cycles that can stretch 6-18 months.

This guide covers the complete 47-step manual process used by leading consultancies, plus the AI-powered alternative that delivers results in hours instead of months. You'll learn exactly how to identify revenue leaks, optimise your marketing spend, and build a data-driven improvement roadmap.

Why B2B companies need marketing audits

B2B marketing faces unique challenges that make regular audits essential for sustainable growth.

B2B-specific challenges

Longer sales cycles mean your marketing must nurture prospects for months or even years. A consumer might buy trainers after seeing three ads. A B2B buyer evaluates enterprise software for 12-18 months, involving 6-11 stakeholders across multiple departments.

Multiple stakeholders create complexity at every stage. Your content must speak to technical evaluators, financial decision-makers, end users, and executive sponsors—each with different priorities and concerns.

Complex buyer journeys rarely follow linear paths. Prospects consume 13 pieces of content on average before speaking to sales. They research in stealth mode, share internally via dark social channels, and build evaluation matrices you never see.

Account-based considerations add another layer. You're not just marketing to individuals but orchestrating engagement across entire buying committees within target accounts.

Benefits for B2B companies

A properly conducted audit delivers measurable business impact:

Identify revenue leaks hiding in your funnel. One manufacturing client discovered £2.3M in annual pipeline was being lost because their technical datasheets weren't findable during the research phase.

Optimise customer acquisition cost (CAC) by understanding which channels and content actually influence revenue. B2B companies typically find 20-30% of marketing spend generates zero pipeline contribution.

Improve sales-marketing alignment through shared metrics and clear handoff processes. Audits often reveal that marketing generates leads sales can't use, while sales needs support marketing doesn't provide.

Enable data-driven budget allocation based on actual revenue impact. Stop funding vanity metrics and invest in activities that drive pipeline and accelerate deals.

When to conduct an audit

Timing matters for maximum impact:

Annual planning seasons (typically Q3/Q4) provide natural audit windows. Use findings to inform next year's strategy and budget allocation.

Post-merger integration requires reconciling different marketing approaches, technology stacks, and performance metrics into a unified strategy.

Performance plateaus signal the need for fresh analysis. When growth stalls despite increased investment, systematic evaluation reveals hidden blockers.

New leadership transitions benefit from baseline assessments. Whether you're the new CMO or reporting to one, audits provide objective performance data and improvement opportunities.

Preparing for your B2B marketing audit

Proper preparation can reduce audit time by 40% and significantly improve output quality.

Setting objectives aligned with business goals

Start by translating business objectives into marketing outcomes. If the CEO wants 30% revenue growth, what must marketing deliver? More leads? Higher quality? Shorter sales cycles? Better retention?

Document specific success criteria from each stakeholder. The CFO might prioritise CAC reduction while sales wants more enterprise opportunities. Capture these perspectives before diving into data.

Create a clear audit charter stating scope, timeline, deliverables, and decision rights. This prevents scope creep and ensures stakeholder alignment throughout the process.

Assembling your audit team

Effective audits require cross-functional collaboration:

  • Marketing operations for data extraction and analysis
  • Sales representatives for pipeline and handoff insights
  • Customer success for retention and expansion intelligence
  • Finance for ROI calculations and budget context
  • IT for technology stack assessment
  • External perspective to challenge internal assumptions

Assign clear roles, responsibilities, and time commitments upfront. A RACI matrix prevents confusion and ensures comprehensive coverage.

Tools you'll need

Gather access credentials and documentation for:

Analytics platforms including Google Analytics 4, Adobe Analytics, or similar. Ensure proper conversion tracking and goal configuration before starting.

CRM access with permissions to analyse opportunity data, lead sources, and sales cycle metrics. Clean data is crucial—budget time for data hygiene if needed.

Marketing automation data from HubSpot, Marketo, Pardot, or equivalent. Export engagement metrics, lead scoring performance, and campaign attribution data.

Financial metrics including marketing budget details, cost per channel, and customer lifetime value calculations. Partner with finance to ensure accuracy.

Additional useful tools include SEO platforms (SEMrush, Ahrefs), social media analytics, ABM platforms, and intent data providers.

Timeline expectations

Manual audits typically require:

  • Preparation phase: 1-2 weeks
  • Data collection: 2-3 weeks
  • Analysis: 2-3 weeks
  • Recommendations: 1-2 weeks
  • Total duration: 6-10 weeks

Factor in stakeholder availability, data complexity, and scope when planning. Holiday periods and quarter-ends often cause delays.

AI acceleration

Modern AI tools can connect directly to your marketing platforms, automatically gathering and normalising data across systems. What takes weeks manually happens overnight—including data quality checks and cross-platform reconciliation.

The 47-step B2B marketing audit process

This comprehensive framework covers every aspect of B2B marketing performance. Use it as a checklist or hand it to AI for overnight execution.

Phase 1: Strategy & alignment audit (steps 1-12)

Step 1: Business objectives review
Document current company goals, growth targets, and strategic priorities. Identify how marketing should contribute to each objective.

Step 2: Target market definition
Analyse your ideal customer profile (ICP), total addressable market (TAM), and serviceable addressable market (SAM). Compare against actual customer data.

Step 3: Buyer persona validation
Review existing personas against real customer data. Interview recent buyers to validate assumptions about roles, challenges, and decision criteria.

Step 4: Competitive positioning
Map your unique value propositions against primary competitors. Identify differentiation gaps and positioning opportunities.

Step 5: Value proposition audit
Test whether your value props resonate with target buyers. Analyse which messages appear in won vs lost deals.

Step 6: Messaging consistency
Audit messaging across all channels and assets. Document inconsistencies that confuse buyers or dilute positioning.

Step 7: Sales-marketing alignment
Review SLAs, lead definitions, and handoff processes. Interview both teams about friction points and improvement opportunities.

Step 8: Budget allocation review
Analyse spend by channel, campaign, and objective. Calculate return on marketing investment (ROMI) where possible.

Step 9: Team capabilities assessment
Map current skills against strategy requirements. Identify capability gaps and training needs.

Step 10: Technology stack audit
Document all marketing technologies, integration status, and utilisation rates. Calculate per-tool ROI.

Step 11: Process documentation
Review documented procedures for key workflows. Identify undocumented processes creating knowledge silos.

Step 12: KPI alignment
Ensure marketing KPIs ladder up to business objectives. Remove vanity metrics that don't impact revenue.

AI acceleration

Modern AI tools can analyse your business data and automatically identify strategic misalignments, completing Phase 1 in under 2 hours.

Phase 2: Digital presence audit (steps 13-24)

Step 13: Website performance
Analyse page load speeds, server response times, and Core Web Vitals. B2B sites averaging over 3 seconds lose 40% of visitors.

Step 14: SEO health check
Review technical SEO elements including crawlability, indexation, and site architecture. Check for duplicate content and canonical issues.

Step 15: Content audit
Catalogue all content assets with performance metrics. Identify thin content, keyword cannibalisation, and content gaps.

Step 16: Lead generation paths
Map and test all conversion paths. Calculate conversion rates by source, device, and user journey stage.

Step 17: Conversion rate analysis
Benchmark form completion rates, content downloads, and demo requests against industry standards.

Step 18: Technical SEO deep dive
Analyse schema markup, XML sitemaps, robots.txt, and international targeting. Fix technical barriers to organic growth.

Step 19: Mobile optimisation
Test responsive design, mobile page speed, and thumb-friendly navigation. B2B buyers increasingly research on mobile devices.

Step 20: Page speed optimisation
Identify render-blocking resources, oversised images, and server bottlenecks. Every second of delay reduces conversions by 7%.

Step 21: User experience evaluation
Conduct heuristic evaluation and user testing. Document friction points in key conversion paths.

Step 22: Competitor comparison
Benchmark your digital presence against top 5 competitors across SEO, UX, and conversion optimisation metrics.

Step 23: Search visibility analysis
Track rankings for target keywords, featured snippets, and People Also Ask boxes. Identify quick win opportunities.

Step 24: Backlink profile audit
Analyse domain authority, referring domains, and link quality. Disavow toxic links and identify link building opportunities.

AI acceleration: AI-powered crawlers can analyse your entire digital presence and competitor sites, delivering a complete technical and content analysis with prioritised recommendations.

Phase 3: Demand generation audit (steps 25-36)

Step 25: Campaign performance analysis
Review all campaigns from last 12 months. Calculate cost per lead, opportunity, and customer by campaign.

Step 26: Channel effectiveness measurement
Analyse performance across paid search, social, email, content syndication, and other channels. Identify over and underperformers.

Step 27: Lead quality metrics
Track lead-to-opportunity and opportunity-to-customer conversion rates by source. Quality often varies 10x between channels.

Step 28: Pipeline contribution analysis
Calculate marketing's contribution to pipeline by quarter. Track both new business and expansion revenue influence.

Step 29: Content performance review
Identify top-performing content by engagement, conversion, and sales cycle acceleration. Find content that influences won deals.

Step 30: Email marketing metrics
Analyse list health, deliverability, engagement rates, and revenue attribution. Benchmark against industry standards.

Step 31: Social media ROI
Move beyond vanity metrics to track social's impact on pipeline. Analyse both organic and paid social performance.

Step 32: Paid advertising ROAS
Calculate return on ad spend across all paid channels. Include view-through attribution and assisted conversions.

Step 33: Event marketing ROI
Track event-generated pipeline and influenced deals. Include virtual, hybrid, and in-person event formats.

Step 34: Partner channel performance
Analyse partner-sourced leads and co-marketing campaign effectiveness. Identify highest-value partner relationships.

Step 35: ABM effectiveness
Review target account engagement, penetration rates, and ABM-influenced pipeline. Compare 1:1, 1:few, and 1:many approaches.

Step 36: Attribution analysis
Implement multi-touch attribution modelling. Understand which touchpoints accelerate deals vs create pipeline.

AI acceleration: AI platforms can integrate with your marketing automation and CRM to instantly analyse demand generation performance across all channels and campaigns.

Phase 4: Sales enablement audit (steps 37-47)

Step 37: Sales collateral review
Audit all sales materials for messaging consistency, accuracy, and usage rates. Remove outdated assets confusing buyers.

Step 38: Lead handoff process
Document and test lead routing, SLA compliance, and follow-up rates. Even 1-hour delays reduce conversion by 7x.

Step 39: Lead scoring accuracy
Analyse whether lead scores predict opportunity creation and deal closure. Refine scoring models based on won deal analysis.

Step 40: Sales feedback loops
Review processes for capturing and actioning sales feedback. Strong feedback loops improve lead quality by 40%.

Step 41: Win/loss analysis
Interview recent wins and losses to understand why deals succeed or fail. Look for patterns marketing can influence.

Step 42: Customer journey mapping
Create detailed journey maps showing all touchpoints from awareness through renewal. Identify marketing's role at each stage.

Step 43: Technology utilisation
Analyse sales team usage of marketing-provided tools and technologies. Low adoption often indicates training needs.

Step 44: Training needs assessment
Identify gaps in sales team knowledge about products, messaging, and competitive positioning. Create enablement plan.

Step 45: Competitive intelligence
Review battlecard quality, usage, and effectiveness. Update competitive positioning based on recent wins and losses.

Step 46: Deal velocity metrics
Track how marketing activities impact sales cycle length. Content and campaigns can accelerate deals by 20-30%.

Step 47: Revenue attribution
Connect marketing touchpoints to closed-won revenue. Build attribution models both teams trust and use.

AI acceleration: AI can analyse CRM data to automatically identify enablement gaps and create data-driven recommendations for improving sales-marketing collaboration.

Analysing your audit results

Raw data means nothing without proper analysis and prioritisation.

Creating your findings matrix

Build a comprehensive findings matrix organising discoveries by:

  • Impact potential (revenue influence)
  • Effort required (time and resources)
  • Risk level (implementation complexity)
  • Dependencies (required prerequisites)

Score each finding on a 1-5 scale across dimensions. This creates an objective prioritisation framework removing politics from decision-making.

Prioritising improvements

Use the ICE framework (Impact, Confidence, Ease) to rank improvements:

Impact: Potential revenue or efficiency gain
Confidence: Likelihood of achieving projected impact
Ease: Inverse of effort required

Calculate ICE scores (Impact × Confidence × Ease) to create your priority list. Start with high-impact, high-confidence, easy-to-implement improvements.

Quick wins vs strategic initiatives

Balance your roadmap between immediate improvements and long-term transformation:

Quick wins (implement within 30 days):

  • Fix broken conversion forms
  • Update outdated sales collateral
  • Improve page load speeds
  • Launch missing competitor battlecards
  • Optimise high-traffic landing pages

Strategic initiatives (3-12 month horizon):

  • Implement marketing automation
  • Develop account-based programs
  • Build content personalisation
  • Create customer advocacy program
  • Establish revenue operations function

Building your roadmap

Create a phased implementation plan:

Phase 1 (Days 1-30): Quick wins and foundation building
Phase 2 (Days 31-90): Process improvements and pilot programs
Phase 3 (Days 91-180): Strategic initiatives and transformation
Phase 4 (Ongoing): Continuous optimisation and scaling


Include success metrics, resource requirements, and checkpoints for each phase.

Calculating ROI of improvements

Project return on investment for major initiatives:

  1. Baseline current performance (leads, opportunities, revenue)
  2. Estimate improvement percentage based on benchmarks
  3. Calculate incremental revenue from improvements
  4. Subtract implementation costs including tools and time
  5. Project payback period and ongoing returns

Conservative projections build credibility and prevent disappointment.

Case study: How Company X found £2M in pipeline leaks

A UK-based manufacturing company discovered their technical documentation was invisible to search engines. Engineers couldn't find critical specification sheets during the evaluation process, leading competitors to win by default.

The fix was simple: SEO optimisation of their resource centre. Within 90 days, organic traffic to technical content increased 400%. More importantly, marketing-influenced pipeline grew by £2M as prospects could finally find the information they needed.

This illustrates why systematic audits matter—significant revenue leaks often hide in unexpected places.

From audit to action plan

Insights without action waste everyone's time. Transform findings into clear execution plans.

Translating findings to strategy

Connect each audit finding to strategic implications:

Finding: "60% of leads never receive follow-up"
Strategy: "Implement automated lead nurturing to maintain engagement"

Finding: "Competitors rank for 3x more keywords"
Strategy: "Develop SEO-focused content programme targeting gap keywords"

Finding: "Sales cycles are 40% longer than industry average"
Strategy: "Create acceleration content addressing common stuck points"

Frame recommendations in business language executives understand.

90-day sprint planning

Break your action plan into focused sprints:

Sprint 1 (Days 1-30): Foundation

  • Fix critical technical issues
  • Align team on priorities
  • Establish measurement baseline
  • Launch quick wins

Sprint 2 (Days 31-60): Acceleration

  • Implement process improvements
  • Launch pilot campaigns
  • Begin content development
  • Test and iterate

Sprint 3 (Days 61-90): Scale

  • Roll out successful pilots
  • Expand winning programs
  • Document best practices
  • Plan next phase

Regular sprint reviews maintain momentum and enable course correction.

Resource allocation

Match resources to priorities:

People: Who owns each initiative? What skills are needed?
Budget: What investment is required? How will you reallocate spend?
Technology: Which tools enable success? What needs procurement?
Time: What's the realistic timeline? Where can you accelerate?


Be realistic about capacity. Better to excel at fewer initiatives than fail at many.

Success metrics

Define clear, measurable success criteria:

Leading indicators (weekly/monthly tracking):

  • Website conversion rate
  • Lead response time
  • Content engagement rates
  • Sales follow-up percentage

Lagging indicators (quarterly tracking):

  • Pipeline generated
  • Sales cycle length
  • Win rates
  • Customer acquisition cost

Create dashboards making progress visible to all stakeholders.

Stakeholder communication

Maintain buy-in through regular updates:

Weekly: Quick wins and progress metrics
Monthly: Sprint reviews and course corrections
Quarterly: Strategic impact and ROI analysis

Celebrate successes publicly. Address challenges transparently. Keep communication focused on business outcomes, not marketing activities.

Implementation timeline

Map major milestones and dependencies:

Month 1: Foundation and quick wins
Month 2: Process optimisation
Month 3: Program launches
Months 4-6: Scaling and optimisation
Months 7-12: Transformation initiatives



Build buffer time for unexpected delays. Complex B2B environments always present surprises.

The AI alternative

Traditional audits have served B2B marketing well, but technology now enables faster, deeper, and more actionable insights.

Traditional audit limitations

Manual audits face inherent constraints:

Time: 4-6 weeks minimum means insights are dated before implementation begins. Markets move faster than audit cycles.

Cost: £5,000-15,000 for external consultants, plus internal time investment. Many companies can't justify the expense annually.

Bias: Internal politics and assumptions skew analysis. External consultants may lack context or push predetermined solutions.

Updates: One-time snapshots become obsolete quickly. By month 3, recommendations may no longer apply.

Coverage: Human analysts can't process every data point. Sampling and shortcuts miss crucial insights.

How AI-powered audits work

Modern AI transforms the audit process:

Automated data collection connects directly to your marketing platforms, gathering complete datasets without manual exports or manipulation.

Pattern recognition identifies trends humans miss. AI can analyse millions of data points to surface non-obvious correlations and opportunities.

Continuous monitoring means your audit updates in real-time. No more annual exercises—get fresh insights whenever needed.

Predictive insights go beyond historical analysis. AI models predict which improvements will generate maximum impact.

Cross-platform intelligence breaks down silos. AI connects dots between systems that don't naturally integrate.

Comparison table: Manual vs AI

Aspect Manual Audit AI-Powered Audit
Duration 4-6 weeks 24-48 hours
Cost £5,000-15,000 £500-1,500
Data coverage 10-20% sampling 100% analysis
Update frequency Annual Real-time
Bias risk High Low
Predictive insights Limited Advanced
Resource needs Full team Single coordinator

When to use each approach

Choose manual audits when:

  • Significant organisational change requires human context
  • Political sensitivity demands external credibility
  • Company culture resists technology solutions
  • Unique business models need custom frameworks

Choose AI audits when:

  • Speed matters for competitive advantage
  • Budget constraints limit traditional options
  • Data-driven culture embraces technology
  • Continuous improvement beats periodic reviews

Many organisations combine approaches—using AI for data gathering and analysis, then applying human expertise for strategy and implementation planning.

The future of B2B marketing audits

We're working on something revolutionary in the AI audit space. While we can't reveal all the details yet, imagine getting deeper insights than a traditional audit in less time than it takes to read this guide.

If you're curious about how AI could transform your marketing audit process, speak to our team about early access to what we're building.

Implementation guide

After completing your audit, success depends on systematic execution. This implementation guide ensures nothing falls through the cracks.

Week 1: Foundation fixes

Technical improvements (Days 1-3)

  • Fix all broken forms and tracking codes
  • Implement missing schema markup
  • Optimise page load speeds (target <3 seconds)
  • Update XML sitemaps and robots.txt
  • Install heatmap tracking for UX insights

Quick content wins (Days 4-7)

  • Update title tags and meta descriptions for top 20 pages
  • Fix internal linking to high-value pages
  • Update outdated statistics and claims
  • Add missing CTAs to top-performing content
  • Create content upgrade for highest-traffic page

Checkpoint: 5-10% improvement in technical scores

Week 2-4: Process optimisation

Sales-marketing alignment

  • Implement weekly pipeline review meetings
  • Create shared lead definitions and SLAs
  • Build feedback loop for lead quality
  • Update lead scoring based on audit findings
  • Train sales on new messaging framework

Marketing automation setup

  • Configure lead nurture sequences
  • Set up behaviour-based triggers
  • Create progressive profiling forms
  • Build lead scoring model
  • Implement attribution tracking

Checkpoint: 20% reduction in lead response time

Month 2-3: Strategic initiatives

Content programme launch

  • Develop editorial calendar based on keyword gaps
  • Create content templates for consistency
  • Brief writers on new brand voice guidelines
  • Implement content approval workflow
  • Launch first campaign based on audit insights

Conversion optimisation

  • A/B test new landing page layouts
  • Implement dynamic content personalisation
  • Create stakeholder-specific navigation paths
  • Optimise forms for mobile experience
  • Test new CTA messaging and placement

Checkpoint: 15% improvement in conversion rates

Measurement plan

Track progress systematically to prove ROI and guide ongoing optimisation.

30-day metrics

Leading indicators:

  • Organic impressions (target: +20%)
  • Page load speed (<3 seconds achieved)
  • Form completion rate (+10%)
  • Email open rates (+5%)
  • Sales follow-up rate (>90%)

Quick wins validated:

  • Technical issues resolved: /
  • Content updates completed: /
  • Process improvements active: /

60-day metrics

Engagement improvements:

  • Average session duration (+15%)
  • Pages per session (+10%)
  • Bounce rate reduction (-10%)
  • Content downloads (+25%)
  • Demo requests (+20%)

Pipeline impact:

  • Marketing qualified leads (+30%)
  • Sales accepted leads (+25%)
  • Pipeline velocity (+10%)
  • Average deal size (stable or growing)

90-day metrics

Revenue indicators:

  • Marketing-influenced pipeline (+40%)
  • Cost per lead (-20%)
  • Lead-to-opportunity rate (+15%)
  • Win rate improvement (+5%)
  • Customer acquisition cost (-15%)

Strategic progress:

  • SEO rankings improved (top 30 for targets)
  • Content engagement up 2x
  • Sales-marketing alignment score >8/10
  • Technology utilisation >80%

Ongoing optimisation cadence

Weekly reviews:

  • Campaign performance dashboards
  • Lead flow and quality metrics
  • Content engagement tracking
  • Technical monitoring alerts

Monthly deep dives:

  • Full funnel conversion analysis
  • Content performance review
  • Competitive position tracking
  • Budget allocation optimisation

Quarterly strategic reviews:

  • Audit finding progress
  • ROI validation
  • Strategy refinement
  • Next quarter planning

Success benchmarks by month

Timeframe Traffic Leads Pipeline Revenue Impact
Month 1 +20% impressions +10% volume Baseline Foundation building
Month 2 +30% clicks +25% quality +20% influenced Early indicators
Month 3 +40% organic +40% MQLs +40% attributed £10-15k monthly
Month 6 +100% visibility +60% SQLs +60% velocity £20-25k monthly

Red flags requiring immediate attention

  • Technical scores declining
  • Lead quality dropping >10%
  • Conversion rates flat after changes
  • Sales-marketing friction increasing
  • Competitor gaining ranking positions

Executive summary framework

Present audit findings and progress to stakeholders with this framework:

Current state snapshot

  • Performance baseline: Where we started
  • Critical issues found: Top 5 problems impacting revenue
  • Quick wins achieved: Immediate improvements made
  • Strategic priorities: Long-term transformation focus

Investment and returns

  • Audit investment: Time and resources deployed
  • Implementation costs: Technology, content, and process changes
  • Projected returns: Conservative ROI calculations
  • Payback period: When investment breaks even

Progress to date

  • Metrics improved: Specific gains with percentages
  • Pipeline impact: Revenue influence demonstrated
  • Competitive gains: Market position improvements
  • Team alignment: Process and collaboration wins

Next phase priorities

  • Upcoming initiatives: Next 90-day focus areas
  • Resource needs: Budget and team requirements
  • Expected outcomes: Projected improvements
  • Risk mitigation: Potential challenges addressed

Remember: Regular measurement and optimisation based on data—not opinions—drives sustainable marketing performance improvement.

Next steps

Whether you choose the manual path or AI acceleration, the key is starting. Every day without proper audit insights costs revenue and competitive advantage.

For manual execution, begin with Phase 1 (Strategy & Alignment) while gathering data access for subsequent phases. Focus on business outcomes over marketing metrics.

For AI-powered insights, the technology is transforming what's possible. We're at the forefront of this revolution with something exciting in development.

Remember Sarah from our old playbook? She's now VP of Marketing at a thriving SaaS company. The difference? She stopped measuring activity and started measuring impact. Her marketing team directly influences 65% of revenue, and the board considers them essential to growth.

Your invisible buyers are researching solutions right now. A proper audit illuminates their journey, reveals competitive gaps, and charts your path to revenue growth.

The question isn't whether you need a marketing audit. It's whether you'll spend months on spreadsheets or get answers overnight.

Ready to transform your B2B marketing performance?

Interested in how AI could accelerate your audit from weeks to hours? Speak to our team about what's coming next.

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