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.
@jean_xavier Great question. :) We've been back testing against other campaigns we've ran and have gotten similar results! We're launching our first "Mocke Tested" campaign so when that completes we're going to compare, but broadly speaking the qualitative insights after a campaign has completed has been really helpful for us, we learned that certain clients don't respond well to certain value props, but do to others, which has been a meaningful change for us.
Technical Co-founder here. We didn't think about using Replit. We do use some Agentic Programming for the Frontend React Web client, mainly GPT-5 through Cursor.
Backend there is some Agent work, but its a bit harder there since the problems are a bit trickier to contain or explain well into a prompt. Let me know if you have any other technical questions or implementation questions! Always happy to talk about software architecture. 😊😊
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?
@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!
Report
Congrats on the launch! Can it simulate different audience segments and A/B test subject lines before I commit to the real send?
@anwarlaksir Hey hey Anwar, great question. We currently don't have these features of audience segments or A/B testing yet. Mainly because our product is a testing tool itself. But that's a really good idea.
Question question for you though, which email marketing tool are you using currently to do audience segment or A/B testing?
@malithmcrdev Hey Malith, we have! We actually dogfood our product. As mentioned in the 1st comment, we run campaigns at scale outside Mocke (up to 1M per day), we have used Mocke to predict and find out messaging-market fit!
@malithmcrdev Amazing. Keep in mind, there is a 50% any plan promo code offered as part of this launch. It expires before end of Aug. Consider using it!
Report
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?
@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.
Mocke is great. Its AI mocks email campaigns, giving results like open rates in a minute, no launch needed. It even explains why leads didn’t engage, with insights real campaigns miss.
@kin_chu Thank you so much for the kind words! Hope you're able to mocke a lot of campaigns :)
Report
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.
@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.
Replies
Haimeta
Congrats on the launch! This looks like a highly efficient product. I’d love to know how accurate the simulation results are
Mocke
@jean_xavier
Great question. :)
We've been back testing against other campaigns we've ran and have gotten similar results! We're launching our first "Mocke Tested" campaign so when that completes we're going to compare, but broadly speaking the qualitative insights after a campaign has completed has been really helpful for us, we learned that certain clients don't respond well to certain value props, but do to others, which has been a meaningful change for us.
Agnes AI
This is really interesting! cant wait to try out on my campaigns - congrats on the launch!
Mocke
@cruise_chen Thank you so much! Feel free to ping Matt or Myself directly if you have any thoughts, issues or questions. Always happy to talk shop.
AI Jingle Generator
Was it (vibe) coded on Replit?
Mocke
@adsy_me
Thanks for the question!
Technical Co-founder here. We didn't think about using Replit. We do use some Agentic Programming for the Frontend React Web client, mainly GPT-5 through Cursor.
Backend there is some Agent work, but its a bit harder there since the problems are a bit trickier to contain or explain well into a prompt. Let me know if you have any other technical questions or implementation questions! Always happy to talk about software architecture. 😊😊
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!
Congrats on the launch! Can it simulate different audience segments and A/B test subject lines before I commit to the real send?
Mocke
@anwarlaksir Hey hey Anwar, great question. We currently don't have these features of audience segments or A/B testing yet. Mainly because our product is a testing tool itself. But that's a really good idea.
Question question for you though, which email marketing tool are you using currently to do audience segment or A/B testing?
ZapDigits
I love it. Have you tested the results against some real campaigns?
Mocke
@malithmcrdev Hey Malith, we have! We actually dogfood our product. As mentioned in the 1st comment, we run campaigns at scale outside Mocke (up to 1M per day), we have used Mocke to predict and find out messaging-market fit!
Would you give it a try?
ZapDigits
Yes I will use it for next campaign.
Mocke
@malithmcrdev Amazing. Keep in mind, there is a 50% any plan promo code offered as part of this launch. It expires before end of Aug. Consider using it!
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!
Genstore.ai
Impressive! I shared Mocke to my team to improve our mail campaigns. Hope to see the details in every step.
Mocke
@mickeyqiu Please send back your feedback!
Mocke is great. Its AI mocks email campaigns, giving results like open rates in a minute, no launch needed. It even explains why leads didn’t engage, with insights real campaigns miss.
Mocke
@kin_chu Thank you so much for the kind words! Hope you're able to mocke a lot of campaigns :)
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.