Deal Score

[CDiVincenzo]

Dear Hubspot Community,

I have been using the new feature recently released from Hubspot, the deal score, and I find it so useful!

I was wondering if anyone has thought about a baseline for the deal score, divided by deal stage. 
What is the threshold after that you do not consider the score positive anymore? 

[danmoyle · Accepted solution]

That's a great Community question @CDiVincenzo! And thanks for the tag @PamCotton!

We aren't using it yet, but if I were teaching a new client, I'd look at it like the lead score on contacts. If you have Deals won, I'd see if you can find patterns there that would help paint the picture of a good deal. 

Then I'd work backward to reverse-engineer some scoring. I'd especially pay attention to timing - like when certain parameters were met - and try to assign points. 

I tend to think on a scale of 1-100 by default, but I'd be open to seeing patterns and rethinking that range. 

It's not a simple number answer for you, but that's where I'd start!

[GBarnett]

This information was all very helpful but where in the settings can you customize Deal Score like you can with Hubspot Score?

[RSchweighart]

Hi @GBarnett,

To my knowledge, the deal score cannot be customized. 

What HubSpot Score are you referring to?

[GBarnett]

That's what I thought but wanted to make sure since it's still in beta. Hubspot Score is the default name of the field for lead scoring. 

[RSchweighart]

Ah yes, I am following now.. the HubSpot Score at a contact level.

Yes, I think it's still pretty early for the Deal Score, so maybe some customization capability for the Deal Score calculation will be available in the future. 🤞

[RSchweighart · Accepted solution]

Hi @CDiVincenzo,

I am in the same boat as @danmoyle, but would echo his sentiment of reverse-engineering a baseline from your existing data. It may take some time for a trend to establish depending on deal volume and velocity.

Have you seen this HubSpot help article?

https://knowledge.hubspot.com/records/use-deal-scores

In theory, "scores reflect a percentage probability, so a score of 85 predicts an 85% likelihood of winning the deal." In this case, a score of less than 50 would indicate less than 50% likelihood of being won.

Note the beta feature in the last section showing things like the trend of a deal score. These details might help with establishing a baseline or even a flaggin system of deals 'slipping.' There's a link to opting-in to the beta in the help article.

Please follow-up with any specific questions you may have after reviewing the help article or further experimentation on your end.

Wishing you all the best,

Ryan Schweighart

Whole Hart Impact, LLC

whimpact.co

I help businesses with HubSpot and Zapier. 

[CDiVincenzo]

Thank you so much @RSchweighart !!!

[danmoyle · Accepted solution]

That's a great Community question @CDiVincenzo! And thanks for the tag @PamCotton!

We aren't using it yet, but if I were teaching a new client, I'd look at it like the lead score on contacts. If you have Deals won, I'd see if you can find patterns there that would help paint the picture of a good deal. 

Then I'd work backward to reverse-engineer some scoring. I'd especially pay attention to timing - like when certain parameters were met - and try to assign points. 

I tend to think on a scale of 1-100 by default, but I'd be open to seeing patterns and rethinking that range. 

It's not a simple number answer for you, but that's where I'd start!

[CDiVincenzo]

Thank you so much @danmoyle !!!

[danmoyle]

@CDiVincenzo happy to help! 

[PamCotton]

Hey @CDiVincenzo, thank you for posting in our Community!

Setting a baseline and threshold for deal scores at different stages of your sales process can indeed be very beneficial. However, these baselines can vary significantly depending on your industry, your company's sales cycle, and historical data from your past deals.

I'd love to hear from other members of the HubSpot Community. Have you set specific thresholds for your deal scores? What has your experience been like?

@danmoyle and @RSchweighart do you have any recommendations for @CDiVincenzo?

Thank you,

Pam

[CDiVincenzo]

Thank you so much @PamCotton