This guide provides a comprehensive walkthrough of how to use the data within your CaliberMind ABM funnel. We will explore practical use cases and best practices for analyzing your funnel’s performance, focusing on the three core pillars of funnel reporting: Volume, Velocity, and Conversion.
Understanding the Standard ABM Funnel Stages
Before diving in, it’s important to understand the typical journey an account takes. Your CaliberMind ABM funnel tracks accounts as they progress through defined stages. While your stage names may be customized, the standard framework follows this progression:
- Known: The journey begins. An event from a known, target account has been captured (i.e. a website visit from a high-fit account, an ad click).
- Marketing Qualified Account (MQA): The account shows significant engagement or demographic fit, triggering a status change. This is a critical, configurable milestone.
- Opportunity Stage 1: The account has progressed to the point where a sales opportunity is created.
- Opportunity Stage 2: The opportunity has advanced to a later, more qualified stage in the sales process (i.e. “Best Case/Commit”).
- Opportunity Closed Won: The final stage, representing a successful outcome and new revenue.
Your goal is to manage and optimize the flow of accounts through this journey.
1. Use Case: Strategic Planning and Forecasting
Scenario: You are a Marketing Director preparing for the next quarter. You need to create a data-driven plan that answers: “What revenue can we expect, and what marketing targets do we need to hit to achieve our company’s revenue goal?”
Core Metrics:
- Conversion: Historical stage-to-stage conversion rates.
- Velocity: Average time-to-close (i.e. MQA to Closed Won).
- Volume: Average deal size and required journey starts.
Best Practices:
- Work Backward from Your Revenue Goal:
- Start with Revenue: Begin with your quarterly revenue target (i.e. $1,000,000).
- Use Average Deal Size: Use your historical Average Deal Size (i.e. $125,000) to determine the volume of deals needed.
- $1,000,000 (Target) / $125,000 (Avg. Deal Size) = 8 deals needed.
- Apply Conversion Rates: Look at your funnel’s historical Conversion Rate to Funnel Success (e.g., MQA to Closed Won) to find the number of MQAs required.
- If your MQA-to-Won conversion rate is 5%, you need: 8 Deals / 0.05 = 160 MQAs.
- Determine Top-of-Funnel Volume: Apply the conversion rate from the “Known” stage to MQA (e.g., 20%).
- 160 MQAs / 0.20 = 800 “Known” account journeys needed.
- Pressure-Test Your Plan with Projections:
- Use your funnel’s forecasting data to see what your current pipeline is predicted to generate. Compare the Forecasted Pipeline Created and Expected Bookings against your new targets.
- If your Expected Bookings for the quarter are only $700,000, you know you have a $300,000 gap to fill with new marketing initiatives.
- Validate Your Timelines with Velocity:
- Check your Average Days to Funnel Success (velocity). If your average sales cycle from MQA to Won is 134 days, you know that the MQAs you generate in the new quarter won’t close this quarter.
- This critical insight means your plan must focus on accelerating existing late-stage opportunities while simultaneously building the pipeline for the next quarter.
2. Use Case: Real-Time Funnel Monitoring
Scenario: You are a Marketing Manager, and your VP asks, “How are we doing right now? Are we on track for the month?”
Core Metrics:
- Volume: Active journeys in each stage and new journeys starting.
- Pipeline: Dollar amount associated with journeys.
Best Practices:
- Get a High-Level Snapshot:
- Start with a summary view of your funnel. Look at the visual funnel to see the Count of Active Journeys by Stage. This tells you where all your accounts are at this exact moment.
- A healthy funnel should have a wide top and a logical drop-off at each stage. A “bulge” in a middle stage (i.e. many accounts stuck at MQA) indicates a problem.
- Monitor Top-of-Funnel Health:
- Track Journey Starts (volume) over the last 30 or 90 days. Is this number trending up or down? A decline in new journeys is an early warning sign that future pipeline will suffer.
- Connect Journeys to Real Accounts:
- Data is most powerful when it’s not anonymous. Drill into the journey details to see the specific Company Names, their Current Stage, and any Associated Pipeline.
- This allows you to move from “We have 150 MQAs” to “Our top targets, like ‘Bamboo Health’ and ‘ADP,’ are both at the MQA stage and represent $130,000 in potential pipeline.”
3. Use Case: Diagnosing and Optimizing Bottlenecks
Scenario: Your volume of “Known” accounts and MQAs is high, but your sales team complains that pipeline isn’t growing. You need to find and fix the “leak” in the funnel.
Core Metrics:
- Conversion: Stage-to-stage conversion rates, especially by segment.
- Velocity: Average days spent in each stage.
- Volume: Count of journeys that advance vs. exit.
Best Practices:
- Identify Where the Bottleneck Is:
- Use a heat map or table view that shows performance over time (e.g., Stage Entries Over Time). Look for two things:
- Low Conversion: Find a stage with a low Stage Conversion Rate. This is a major leak.
- Slow Velocity: Find a stage with a high Average Days in Stage. This is a bottleneck.
- You might find that your “MQA” to “Opportunity Stage 1” conversion is only 10%, and the Average Days in Stage is 45 days. You’ve found your bottleneck.
- Use a heat map or table view that shows performance over time (e.g., Stage Entries Over Time). Look for two things:
- Analyze Who Is Getting Stuck:
- Now that you know where the problem is, find out who it affects. Use cohort analysis to group your journeys by different characteristics (i.e. Industry, Company Segment, Company Owner).
- By comparing conversion rates for your MQA stage, you might discover that “Aerospace” accounts convert at 50%, while “Financial” accounts convert at 39%. This insight tells you your messaging or follow-up for Financial accounts is not working as well for Financial.
- Discover What Actually Works:
- To fix the problem, you need to know what’s effective. Analyze the specific stage (i.e. MQA) and look at the marketing and sales activities that are successfully moving accounts forward.
- Look at a breakdown like Top 10 Event Type by Journeys Stage and Successes. You may find that for the “Finance” accounts that do convert, the “G2” and “Email” events are present in 80% of successful journeys (Count of Journeys that Advance).
- Action: You can now build a targeted campaign for your “Financial” cohort using the G2 and email-centric plays that are proven to work for other segments.
4. Use Case: Quarterly Performance Reviews
Scenario: You are a CMO preparing for the quarterly business review (QBR). You need to report on what happened last quarter and its impact on revenue.
Core Metrics:
- Volume: Stage entrances, advances, and exits.
- Conversion: Stage-to-stage conversion rates for the period.
- Pipeline: Starting vs. Ending Pipeline.
Best Practices:
- Tell a “Start vs. End” Story:
- Set your analysis timeframe for the previous quarter (i.e. Start Date: July 1, End Date: Sept 30).
- Use a detailed performance table to get a clear before-and-after picture. This allows you to build a powerful narrative:
- Volume: “We began Q3 with 1,771 accounts in MQA (Active in Starting Period) and ended with 407 (Active in Ending Period). More importantly, we generated 76 new Stage Entrances to MQA.”
- Conversion: “Our Stage Conversion Rate from MQA to Opportunity was 18%.”
Pipeline: “We grew the total pipeline in ‘Sales Accepted’ from $13M (Starting Pipeline) to $18M (Ending Pipeline), successfully advancing 86 deals (Stage Advances) while adding 40 new ones (Stage Entrances).”
- Benchmark Against Your Past Self:
- Answering “Was 18% conversion good?” is hard without context. Use comparative analysis to benchmark your quarter’s performance against the previous one.
- “Our Stage Starts for MQA were 1,847, a 22% increase from the 1,454 in Q2.” This proves your top-of-funnel efforts are growing.
- “Our Average Days to Success improved, dropping from 139 days to 82,” showing your optimization efforts are speeding up the funnel.
General Best Practices
- Align Sales and Marketing: Regularly review your funnel metrics together. Agree on the definitions for each stage (especially MQA) and what the SLAs are for follow-up. Data can’t fix a broken process.
- Focus on ‘Journeys,’ Not Just ‘Leads’: An account-based funnel tracks the entire account. Look at the combination of activities across multiple people to understand the full story.
- Trust, but Verify: If you see a number that looks strange (i.e. a 100% conversion rate), drill into the Journey Details. You may find it’s a small sample size (1 journey) or a data-entry issue, which is just as important to find and fix.
- Be Patient and Consistent: You won’t fix your funnel in a day. Use these reports to establish a baseline, make one or two focused changes (i.e. a new nurture for your “Manufacturing” segment), and measure the impact on Volume, Velocity, and Conversion over the next month.