Jessica_Kao3

As long as you know this is a major cause of duplicates. I would look into any of the many vendors that can fill and find email addresses for you.

HI Nate,For Online Advertising, you would create a program for every bucket of campaigns that you want to see rolled up in RCE together for pipeline and revenue. You can certainly create a Marketo program for every campaign you do on Linkedin for example but depending on what that looks like, it ma...

Hi Ryanne,For Linked in sponsored ad, I would use the channel of online advertisement, or some grouping that designates paid online stuff. Website resource doesn't really tell you where it is coming from. You want to separate these out from organic website traffic going to your resources. It also ...

I believe you can do this with the model reports, success path analyzer, and rice.

Then you should create two templates. What exactly are you trying to A/B test?

The Acquisition Date is automatically set when an acquisition program is set. You should be triggering leads into programs and setting their appropriate acquisition program. I believe an Acquisition Date cannot be set without it having an acquisition program.

Hi Nate,You hit the nail on the head why I do not set a usable success step in email programs because it will skew your results. I tend to stay away from having email blasts have their own programs with success steps. You can still get to the data of who clicked, who opened, which email campaign g...

I second Informatica (Strikeiron)

For Email programs I rarely if ever have that as a stand along program and never have opens or clicks as a success step. Let's take a look at the example if you do. I have an email promoting white paper A.I have a Content Program: white paper A - captures people who fills out the form = success. ...

I had the exact same thing happen. We found that there was a validation rule on the contact object in SFDC that requires the state to be a 2 letter character and anything that did not have that failed the sync. You can either remove the rule or normalize the data.