A. Comparing historical data to current data
This method analyzes how many mexico reverse phone lookup opportunities were closed before implementing ABM versus now. Similarly, look at what percentage of deals closed before ABM versus now. The differences in that data, the lift in sales, will clarify how much revenue marketing contributed to generating revenue.
B. Performing cohort analysis
Like with any good experiment, it's a good idea to have a control group to use as a comparison. Create a group of accounts touched by your campaigns (Group A) and another one with accounts that will not be touched by your campaigns (Group B). Then compare results such as Account to Opportunity rates, Opportunity to Close rates and Time To Close between both groups. This will shed light on marketing's impact.
These methods of measuring the impact of marketing on closed rates are essential to avoid depending on multitouch attribution to prove marketing's impact on revenue.
Even though a time decay or U shape model can be pretty powerful, it will seem intangible to the executive team. If you want to compare the impact of campaigns internally to optimize your efforts, multitouch attribution is the perfect tool. But if you want to prove value to your board, an increase in close rates associated with a dollar amount will be much more impactful.
3) Increased sales velocity/reduced sales cycle time
If deals close twice as fast when they're touched by marketing, that's a clear indicator that marketing directly impacts revenue each month. This can also be measured using historical data and by performing cohort analysis. See how fast deals are closed without marketing's involvement and prior to ABM, and that will enable you to quantify revenue marketing contribution.