Thanks @benln for hunting us ;) We are super pumped to hear the feedback from Product Hunt community!
From day one at Growbots we strive to make salespeople and marketers’ life easier by equipping them with the best possible tools. Recently we’ve decided to solve another struggle in their day-to-day job and answer the question: what is the best time to send emails?
Some of you might say, that this was solved by numerous companies a long time ago, but, in fact, no one has ever got further than trying to establish some general rules (i.e. Tuesdays mornings are the best!!). Is it enough? I don’t think so. After all, you’d expect a CEO of a small startup to be responsive in a different way than a Director in a Fortune 500 company, right?
Thanks to the fact that we provide our customers with a huge database of potential customers and email automation tool in one place, we were able to gather enormous dataset containing information on responsiveness across different industries, countries, and departments.
Of course, we couldn’t sit on this data for too long without sharing it. To make it easily accessible, we used machine learning to create this email sending time optimizer. Go ahead and play around with it. It’s time to empower your email campaign with the right timing :)
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@benln@growbots_@pietruszynski Congrats on the rollout, guys. This tool looks extremely useful. These types of benchmarks are great for identifying actionable email send time experiments.
@benln@growbots_@osbennn yes, some people say that the average positive response rate to cold emails is 1% - which is completely not true if you do it right!
@radekzaleski We didn't come up with parameters upfront, just analyzed data and chose parameters that were statistically important. My guess is that if for example, a company is still small after 20 years it becomes stable and people don't search for new solutions and changing their processes that often.
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@pietruszynski what are your "guesses" based on? What is the effect between type of industry and email open rates? Can you please elaborate a little bit on the research you've done to create this tool?
@aleksey_narko Alex, we analyzed results from over 10M outbound sales emails sent by Growbots customers to build this tool. So there's no guess when it comes to the data, just behind the reasons for such results ;)
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@pietruszynski Greg, being an SDR 10M emails doesn't impress me as I am sending between 800 to 1000 emails, which based on my stats means that you may have analyzed 200 SDRs to get this data. Given the variety of points you take into consideration (industry, size of the company, position) and many more that you don't (like culture differences for example) it would be great if you can provide more data on your research rather than a 10M outbound emails figure. To sum it up -> research case study would be a great asset to this tool :)
With more and more companies executing cold mailing strategies - timing becomes crucial. It's a great tool to find out when your audience is most likely to engage!
@mkurleto thanks Mateusz, I hope we will help you to improve results.
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Good job, guys! It always amazes me how technology is evolving so fast. Tools like this can really make a difference with newsletter based businesses.
Email is not dead at all, and I think I need to start working again on my mailing list.
@erikemanuelli thanks! A/B testing campaigns on your own can take really long time, that's why we've decided to extrapolate data from over 10M emails sent by our customers to show some larger scale benchmarks. Hope it helps!
@yanivgoldenberg Great to hear that, fingers crossed for your results!
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Congrats on the roll-out. Coming from both sides of the marketing equation (as a startup and in PR), I know how important timing is when sending emails, especially for organizations with a diverse geographic distribution, in terms of clients and colleagues.
@jangelor I think that if people are on their emails they're not checking Facebook... but it might be a good idea to try social media outreach when the email response rate is low ;)
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