We addressed why sellers are frustrated with ChatGPT in another post. But we shouldn’t take away from ChatGPT’s mind-blowing versatility; after all, I spent an evening asking it to write mashup treatments for movies. My favorite was the cross-over between Indiana Jones and Emma titled "The Archeologist and the Governess" (coming soon).
Yet, ChatGPT, for all its treasures, is tailored for something other than selling, whereas Scribe is born and bred for sales messages. Let's see how each performs. I started with ChatGPT.
First, I imagined an absurd company that distributes chicken fat to restaurants. (Heavenly Fat also features in this post about great value propositions.)
Next, I fed ChatGPT this prompt:
I received this impressive email from ChatGPT:
It's a good email, really. But a few things jump out.
The opening is generic and impersonal. "I hope this email finds you well." Personalization could help it grab the reader.
Second, it's too long. No hard and fast rules, but most say the ideal word count for emails is 50 to 125 words. This email comes in at 225, so it could be more concise.
Third, it embroiders the truth a little. These are ChatGPT assertions that fall outside the prompt.
"We have a wide range of delivery options to ensure that the fat reaches your kitchen in perfect condition." (But what if Heavenly Fat doesn't have a wide range of delivery options? This sentence is a pure invention.)
"We have a long list of satisfied customers." (Gulp. While the prompt says we serve the world's finest restaurants, it's unclear how many restaurants there are. Still, appreciate the go-get-'em attitude.)
"I would be delighted to arrange a sample delivery for you to try in your kitchen." (Not a bad initiative, but not one outlined in the prompt.)
"and discuss how we can work together to enhance your menu." (Maybe an SDR can help enhance a menu if it merely means supplying chicken fat, otherwise they’re in over their head.)
ChatGPT is very good at syntax and exceptional at mimicking the form of certain types of communication. Unfortunately, to mimic the form, it sometimes gets the bit in its mouth and takes off on its own.
So, some adjustments are in order. I can fine-tune the prompts to reduce the word count or I can revise the email to match the company's policies. After some minutes of manual editing, the email is more concise. I also included a bit of personalization in the opening to grab the reader's attention. This part is easy for the test because the recipient is imaginary, but it would be significantly harder if it was a real person.
ChatGPT cold email summary: Not bad
Although this requires some substantial nips and tucks, it took less time than starting from scratch.
How does Scribe compare?
Well, the first thing I notice is I need a recipient, and it’s impossible to find a random email address. I googled "email address chef" and "restaurateur email" and a bunch of other variations, trying to get ONE email address. And….no luck.
Thankfully, because Scribe is part of a prospecting platform, I used LeadIQ's Identify capability and found contact data in seconds. I also received a bunch of other inputs to personalize the message then inserted the same value prop as before:
"Heavenly Fat helps chefs make the tastiest chicken fat dishes in the world by selling premium quality chicken fat harvested from obese chickens and delivered in canvas bags to the world's finest restaurants."
Next, I select the insights I want the AI to sort through to personalize the email. These are insights specific to the prospect that Scribe conveniently consolidates. I select:
I got these outbound messages from Scribe
Scribe gave me these three subject lines for the first message:
In Case of Food Shortages…
Risk factors associated with COVID-19 pandemic…
[Company Redacted]’s 10k report
Here's the first email:
It's brief and to the point, personalized, and I get multiple subject lines to choose from. But there is some fat to trim (😉), and some of the syntaxes are awkward, so I spend one minute editing and arrive at:
But that's not all Scribe provided
I still have two more email options and six more subject lines.
Okay, a little weird, but I know what the AI is striving for, and after a few seconds, I have an edit:
This one needs a few tweaks. It takes me 20 seconds.
If I want, I can ask Scribe to generate more versions, change the inputs, and use LeadIQ's other capabilities to capture many more leads in a streamlined process. The results? We send the right message, to the right person, at the right time. What's more, the AI learns from your feedback and edits over time, producing messages aligned to your style. This means less time spent tailoring messages and more time to focus on your prospects.
In summary, ChatGPT can write a pretty good first draft, but it doesn’t quite understand the requirements of a sales message. It doesn’t include relevant insights, which means you have to personalize from first hand knowledge or send a generic templated email. Worse, sometimes ChatGPT goes off script, which could create an embarrassing situation for an SDR in a hurry. Last, ChatGPT has no way of capturing contact data, and switching between a contact data provider and ChatGPT is time consuming.
Scribe, on the other hand, is terrible at loglines for screenplays or generating new fairy tales, but it’s good at serving its singular audience: sellers. Multiple messages and subject lines keeps the seller’s hand on the wheel, and seller involvement keeps selling a relational enterprise. Insights personalize each message in record time, and Scribe’s connection to the larger platform makes operations quick and easy.
AI is finally living up to its promise, and LeadIQ can help your sales department take advantage.