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Mocke
Mock email campaigns: know your reply rate without launching
664 followers
Mock email campaigns: know your reply rate without launching
664 followers
Mocke AI agent mocks running email campaigns. Get back results in 1 min, such as open, reply or unsubscribe. Mocke also reveals why each lead didn't open emails, reported spam or ignored. Unlock insights of campaign failure (or success!) not seen in real life.
Trufflow
As someone that is painstakingly crafting cold emails and messaging, I'm already asking ChatGPT and Gemini to help improve my messaging but now I have the option to get more insights from how to optimize my outreach? Even better!
Curious if the team has done any comparison between how close Mocke's analysis is when compared to a real email campaign?
Mocke
@lienchueh Hey Lien, great question! Yes we've done. There are two kinds of insight Mocke provides: quantitative and qualitative.
Quantitative stats Mocke provides it as a scale, not a single predicted reply rate for example (check out my demo video in the launch). So you can mock different email deliverability and see how open rate may change. Quantitative analysis is best used as an indicator, rather than the golden measure for real campaign.
On the other hand, the qualitative insights are actually extremely helpful. You get to know what "leads are thinking" when they don't reply to you; their "concerns in mind"; etc.
I hope this helps you to understand Mocke's result vs real campaign's result!
Looks interesting! I’m sure others are also wondering .. does your tool use our campaigns for training/internal use or are all campaigns private data?
Mocke
@atifnoor93 Hey Atif, very sharp questions. The answer is no, not at all. Our product doesn't work this way. We don't use historical data to train and predict. We use LLM to simulate the real world view of an email receiver. Then send the email to the simulated person.
You should give it a try!
I dont understand, how does it predict, is it an AI that looks and takes actions and gives its thought process why it did unsubscribe, or reply , or something else?
Mocke
@nayandeep_yadav Hey Technical Cofounder of Mocke here.
Great question, and your basically correct, but its more than just giving the message to an AI and asking for its thought process / actions.
We create a "world view" for our simulation, where we take into account all available professional information we can about your target recipient, and we add in "randomness" to help make it more real. (Did the lead read it first thing in the morning, or right after a long meeting, etc...)
We then give this world view to our AI agent to have them assume the persona of your target, and then they take as many actions as they think is appropriate and relevant for your email. And additionally we surface the "hidden thoughts and actions" as well.
@daniel_wasserlauf Okay.
SuperIntern
Thanks team! May I ask that during the mock, are you testing with real humans or via simulations?
Magiclight
This is such a creative concept—being able to “mock” email campaigns and instantly see why people don’t open or respond sounds like a game-changer for marketers. Curious, do you also plan to add suggestions for improving future campaigns based on the mock results?
Very interesting + exciting. I'm wondering ... is your experience with Mocke mostly in B2B use cases? Or, have you seen any difference in accuracy / utility for B2B vs B2C email campaigns?
Mocke
@shanl22 Hey Shan!
Thanks for commenting, and great question. B2B mainly is our background and focus, most cold email campaign creation is focused on B2B due to regulatory requirements within many countries protecting B2C against cold email outreach.
In our system we do extensive business level research to build an accurate simulation for each person and role, while we could build out a B2C pipeline as well for mocking its not our current focus right now.
Do you have a B2C case you've ran before for an email campaign? I'd love to know more about it, specifically what types of consumers? Was it cold outbound or was it "warm" where the prospect agreed to have emails from a business?
I can definitely see this working really well for marketing teams to test and analyze their campaigns before sending in and reduce subscriber attrition. If you can also ask users to report their metrics so that you can measure them against the mock benchmarks, that'd be a great way to tune your AI core. Additionally, if the stats are close enough, you could use that as a case-study.
Congrats on the launch and great use of AI in here.
Mocke
@ash_grover lol that's are good marketing ideas - compare against real campaigns, then make them into case studies. We should try that! Genius idea Ash.