4 Reporting Categories That Drive Actionable Insights And Smarter Decision Making
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The document outlines a webinar series focused on actionable insights for demand generation and marketing measurement challenges, featuring panelists from various organizations. Key challenges discussed include aligning different marketing systems, catering to diverse audience analytics needs, and ensuring accurate data reporting. The series emphasizes the importance of a unified reporting approach and customized dashboards to enhance marketing effectiveness and decision-making.
4 Reporting Categories That Drive Actionable Insights And Smarter Decision Making
- 3. #COSeries Register & Attend To Win A Ticket To B2BMX • Earn 1 automatic entry when you register. • And second entry when you attend live. • Register & tune-in to all #COSeries live sessions for the best chance to win. • Winners announced each day of the series. Register For & Attend #COSeries Webinars For More Chances To Win Free Entry to #B2BMX
- 4. #COSeries About Demand Gen Report • Tracking strategies & solutions in lead generation & marketing tech since 2007 • Daily news and analysis, special reports, original research and live events • Newsletter reaches 40,000 readers • Additional resources at: demandgenreport.com/resources @DG_Report http://linkd.in/DG_Specialists
- 8. Today’s Agenda • A Day in the Life of a Marketer with Sean McVey • Key Challenges in Marketing Measurement • Full Circle Insights and the Four Pillars of Marketing Measurement • Q&A 8
- 9. Introducing Sean McVey 9 • Director, Demand Generation at Virtru • Responsible for full funnel growth, projections, and measurement • Full Circle Insights Customer for 6 months • Response Management • Campaign Attribution
- 10. © Full Circle Insights, Inc. Proprietary and Confidential About Virtru • Email Encryption for Business • Raised $30MM in 2016 • Looking to grow fast – inbound and outbound • Small marketing team (6), growing sales team (15+)
- 11. Four Key Measurement Challenges 11 1. Different Systems Speak Different Languages 2. Different Audiences Want Different Insights 3. Lumping Data Together Distorts Insights 4. Ensuring Accurate Data for a Specific Channel
- 12. Challenge 1: Different Systems Speak Different Languages 12 Examples: • 1 opportunity in Salesforce equals 3 opportunities in Hubspot • A contact in Hubspot can only be one lifecycle stage (lead, MQL, etc.) • Opportunity amounts somehow never match up between the two systems Is it just me? Or do you all experience frustrations like this all the time?
- 13. Solution 1: Choose One Version of the Truth 13 • At Virtru, we report on the entire funnel in Salesforce. We don’t look at Hubspot for conversion funnels and opportunity metrics. • We still use Hubspot for many top of the funnel insights such as email performance, lead scoring, and collecting lead source information.
- 14. Challenge 2: Different Audiences Want Different Insights 14 Audience Ask Board & CEO Are we on track to hit our Q2 pipeline goal? CMO Which programs/offers are contributing to marketing sourced pipeline this month? Channel Marketer Which channel is producing more demos? Adwords or LinkedIn? SDRs How many more meetings do I need to book to hit my daily and weekly goals ?
- 15. Solution 2: Different Dashboards for Different Purposes 15 Dashboards for the board use longer timeframes and report on broader segments of the business CMOs want to know which campaigns and lead sources are contributing to booked meetings and pipeline Channel marketers need to evaluate the lead funnel for each channel and also granular campaigns within each channel SDRs want to know how they are performing against the metrics driving their compensation
- 16. Challenge 3: Lumping Data Together Distorts Insights • Different segments of your business have different demand funnels. If you analyze them all together, you will draw misleading conclusions. • Examples of ‘buckets’ you could break out: • Big Bucket Lead Source – Marketing vs. Sales vs. Resellers • Marketing Lead Source – Inbound vs. Paid Search vs. Events • Employee Size – Small vs. Mid-Market vs. Enterprise • Campaign & Campaign Type – Hot Leads vs. Content Leads vs. Webinar Leads
- 17. Solution 3: Define Your Buckets and Use Filters 17
- 18. Challenge 4: Ensuring Accurate Data for a Specific Channel • Greatest challenge on the channel level is pulling the right data. This is never easy and never perfect. • The challenge with UTMs – 30% of conversions happen on a different page • The challenge with marketing automation lead source – only the original source captured (in Hubspot) • Need to pull both UTM and marketing automation lead source, using an ‘OR’ filter in Salesforce:
- 19. Solution 4: Get it Close by Using Multiple Data Sources 19 *partial data in April
- 20. Recap 1. Choose One Version of the Truth (Salesforce Recommended) 2. Build and Customize Different Dashboards for Different Audiences/Purposes 3. Segment Your Reports and Dashboards by Size, Lead Source, Campaign Type or Other Important Buckets 4. Get Crafty with Channel Reports to Prove ROI 20
- 21. Introducing Bonnie Crater 21 • President and CEO of Full Circle Insights • 5x VP of Marketing and executive for software companies throughout Silicon Valley • Co-founded Full Circle Insights in 2010
- 22. Current Challenges: The Great Data Divide 22 Marketing Automation Salesforce CRM Impact: Marketing execs don’t have the visibility they need
- 23. About Full Circle Insights 23Native marketing analytics inside Salesforce Campaigns / Leads / Contacts / Accounts / Opportunities
- 24. Four Pillars of Marketing Measurement 24 I need to review what’s happened in the past to plan for the future. Am I achieving the goals we established? Where are my processes performing well—and where can they be improved? How have I impacted revenue and what should I do more of? Planning Achieving Optimizing Evaluating
- 25. Pillar #1: Planning 25 Planning Demand Planning (“Reverse Waterfall”) • Average deal size • Stage-to-stage conversion rates • Stage-to-stage velocity rates • Engagement patterns • Revenue contributions Funnel Stages Stage Conversion Rates Volume per Stage INQ –> MQL 8% 27,548 MQL –> SAL 55% 2,204 SAL –> SQL 60% 1,212 SQL –> Oppty 25% 727 Wins 182 Avg Deal Size $55,000 Revenue Target $10,000,000
- 26. Pillar #2: Achieving 26 Achieving Effective Prep for Marketing Leadership Meetings • Revenue • Volume: MQLs / SQLs / SALs / Opportunity • Opportunity coverage • Stage-to-stage velocity rates • Stage-to-stage conversion rates • Revenue contributions
- 27. Pillar #3: Optimizing 27 Optimizing Sales Has Questions About Quality of Leads from Marketing • Disposition reasons by sales rep • Aggregate disqualification reasons by time cohorts • Lost opportunities by reason
- 28. Pillar #4: Evaluating 28 Evaluating Real-Time Budget Adjustment Scenarios • Campaign conversion rates • Campaign deal sizes • Campaign velocity rates • Campaigns by revenue
- 29. Key Takeaways • Maintain a single source of truth, regardless of technologies used and sources of data • Set up processes and technology that enable granular insights into your unique sales cycles, channels, and segments • Focus on reports and dashboards that are insights-driven (not just data-driven) to help inform decisions 29