Waterfall Metrics that are accurate

Not applicable

Waterfall Metrics that are accurate

Hi there,

I've been looking into waterfall metrics (Known to MQL to SAL as examples) for some time now and am pretty sure I know where to find the data. The thing I struggle with is the timing of things. For example, we usually report on the current qtr and the previous qtr...so if I say that we generated 100 MQLs in the previous qtr, I can't say that x% converted to SALs because I'm looking at static datasets in Salesforce. It's not accurate to include a conversion rate % because the number of SALs I can see didn't all come from those initial 100 MQLs, they may have come from MQLs generated in previous qtrs...so what's the best solution here to see an accurate conversion metric % which can then be used for reverse waterfalls?

Very simply all of the docs seem to say you have 100 MQLs, and 10 SALs, so that's a 10% conversion rate, but that simply isn't correct. And if I ONLY look at conversions coming from the initial 100 MQLs then I am constantly saying that Marketing is underperforming - 100 MQLs generated this qtr, of those 2 became SALs in that same reporting period, hence my conversion metric % is 2%...

Any bright ideas?

Level 5

Re: Waterfall Metrics that are accurate

You should record a timestamp on when the person became MQL. Then use this timestamp to select the MQLs generated during a particular time period and measure how many of those became SAL.

Level 2

Re: Waterfall Metrics that are accurate

Hi Michael,

It depends on how your lead life cycle process is set up. Our marketing and inside sales team work a lead until it is ready to become an MQL and then we convert the lead to a none forecastable marketing opportunity which is handed to sales to work. The sales team can then change the stage of the opportunity which triggers SAL, SQL etc.

We currently use Marketo to manage the lead life cycle based on updates made within SFDC, this allows leads to move through the stages of the waterfall and track when things move and to what stage.

In order to track we use reports that look at opportunity created date e.g MQL and then we use historical opp reports that look at when the stage of the opportunity changes, therefore we can track how many MQL's we created and then when they moved through SAL, SQL, Won, Lost or Return to marketing. We always have an accurate picture of when an MQL was created based on created date and when the stage was changed irreverent of the quarter.

Hope this helps, give me a shout if you have any more questions,.