Our current lead score model has been running once every hour and over-scoring people, so we want to pause behavioral scoring, zero out everyone's scores, input new scoring tokens, and then backfill the scores for the past 90 days. If I zero out the scores, will that automatically change people's statuses? For example, will someone who MQLed because they once met the point threshold to MQL suddenly be removed from the MQL stage? #leadscoring #leads scoring
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Hey Friends, Recently, we uploaded a massive attendee list to Marketo, synced those people to a campaign in SFDC, and thought that any leads on the list that are competitors or are part of our "undesirable email domain list," etc would not sync to SFDC or would at the very least not be assigned to sales reps in SFDC but they were. Is there a sort of "cleanse list" step that I should implement before syncing? If yes, please let me know how to do this and where. Typically, w hen we mass email our existing database, we usually filter out bad domains and competitor names in flow steps " Email address does not contain @gmail.com " for example. But in this particular case, we uploaded a list of attendees directly into a new campaign and emailed them without filtering that stuff out. And it begs the question, isn't there a better way to do all this? I shouldn't have to manually filter these people out with every list upload or email send, right? Help me automate the data cleansing of list uploads.
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