Your ad platforms each claim credit for the same conversions. This calculator computes your blended Marketing Efficiency Ratio from total revenue and total spend, then surfaces the attribution gap between what your platforms report and what actually happened.
Marketing Efficiency Ratio divides your total revenue in a period by your total ad spend across every channel. No last-click, no view-through, no modeled conversions. Just dollars in divided by dollars out. When Google Ads reports a 4.2x ROAS and LinkedIn reports a 3.8x ROAS simultaneously, those numbers almost always double-count the same pipeline. Your blended MER cuts through that noise.
To improve marketing ROI using MER as your north star, pair it with channel-level analysis from performance marketing tools to identify which platforms are contributing real pipeline versus claiming credit for organic conversions.
When summing platform-reported ROAS across Google, LinkedIn, and Meta, most B2B SaaS companies find total attributed revenue is 20-45% higher than actual CRM-closed revenue.
Growth-stage companies investing heavily in paid acquisition often run lower MER than mature companies, reflecting higher front-loaded CAC.
For B2B SaaS with 3-year average contracts and 110%+ NRR, true MER on lifetime value is 2x to 4x higher than first-year revenue MER.
Teams that reallocate budget based on MER analysis rather than platform ROAS commonly find 10-20% cost reduction for equivalent pipeline.
Input your total revenue for the month or quarter you want to analyze. Use CRM-closed revenue, not pipeline or attributed-by-platform revenue, which double-counts across channels.
Sum your paid spend across every channel: Google Ads, LinkedIn, Meta, display, content syndication, events, and any agency fees. Include everything in the numerator.
Add each platform's self-reported revenue attribution. The calculator will sum these and compare them against your actual total revenue to show you the attribution gap.
Your blended MER and attribution gap tell you two different things. MER tells you the portfolio-level truth. The attribution gap tells you how much you should discount each platform's self-reported numbers.
Marketing Efficiency Ratio (MER) divides your total revenue in a period by your total marketing spend across every paid channel. It is the unattributed truth about your marketing portfolio. When Google Ads reports a 4.2x ROAS and LinkedIn reports a 3.8x ROAS simultaneously, those numbers almost always double-count the same pipeline. MER cuts through that noise by using only total revenue and total spend.
Blended MER = Total revenue / Total marketing spend. If your business generated $2,000,000 in revenue last month and your total paid marketing spend across all channels was $400,000, your blended MER is 5.0x. Unlike channel-level ROAS, MER cannot be inflated by attribution model choices because it uses top-line revenue directly.
B2B SaaS benchmarks for blended MER vary by growth stage. Companies at $5M-$20M ARR often run MER of 3x to 6x as they invest heavily in growth. At $50M-$200M ARR, a healthy range is 4x to 8x on first-year revenue. Companies with high NRR will see effective MER increase significantly when calculated on LTV rather than first-year revenue.
ROAS is channel-specific and attribution-model dependent: it measures revenue attributed to a specific campaign or platform. MER is portfolio-level and attribution-model independent: it measures total business revenue divided by total spend. ROAS can be gamed by adjusting attribution windows. MER cannot. Most B2B SaaS companies find their blended MER is 20-40% lower than their weighted average channel ROAS, exposing the double-counting.
An attribution gap is the difference between the sum of revenue attributed by your ad platforms and your actual total revenue. If Google Ads reports $800K attributed, LinkedIn reports $600K attributed, and your total revenue was $900K, the sum of platform-reported revenue ($1.4M) exceeds actual revenue ($900K) by $500K. That $500K is the attribution gap — revenue counted multiple times across platforms.
MER improves either by increasing total revenue at the same spend or reducing spend at the same revenue. The highest-leverage tactics are: shifting budget toward channels with proven pipeline contribution, improving landing page conversion rate to generate more revenue from existing traffic, and reducing spend on brand campaigns where organic would have captured the same clicks.
Hellyeah connects to live ad platform and CRM data to compute MER continuously and flag when it drops below your threshold. On the execution side, automating content and campaign work reduces the spend required to maintain the same pipeline, directly improving the MER ratio.
Track MER monthly as the primary measure and weekly as an early warning system. Monthly MER smooths out conversion timing noise in B2B SaaS where deals close in clusters. Weekly MER is most useful for catching sudden spend spikes or revenue drops that require fast budget adjustments.
Hellyeah connects to your live ad platform and CRM data to compute MER continuously and alert you when attribution gaps cross your threshold, eliminating the weekly manual reconciliation that causes budget errors.