Are you using LCEmail or something else ?
The question.
Are you using LCEmail or something else for your email campaigns? Why different service or why specifically LCEmail ?
The question.
Are you using LCEmail or something else for your email campaigns? Why different service or why specifically LCEmail ?
We started using GoHighLevel a couple of months ago, mostly for managing email campaigns via LCEmail, opportunity pipelines, and a few automations.
We've sent a couple of cold mass email campaigns and noticed something confusing: the open rates and delivery rates were pretty solid, but we got almost 0 leads. While we understood that we needed to fine-tune the campaign and the messaging, something still was not adding up.
Being the technical lead in the company, I launched an investigation and came to the conclusion that the numbers did not reflect the real situation because of security systems and bot openings.
I was tasked to create a system to filter out those to see real stats. In a couple of weeks, I've built an internal application that used the LCEmail API from GHL to check out the direct statistics, and to say that I was surprised with the numbers I got is to say nothing at all.
About 70% of the email openings were done by bots and security systems, even though the bot filtering functionality was turned on in GoHighLevel.
Another issue we've encountered with GoHighLevel is that their analytics dashboards are... well, just bad. You have to click several times to find something, and in the end, you just cannot get a full, clear picture of what's happening, so I created a much better and more convenient dashboard for our team to see the metrics quickly and in a clean, understandable way.
Doing that changed the way we treat email campaigns, gave us a much better understanding of how cold email campaigns should work, and gave us a clear direction for moving forward (not ditching the cold email campaigns, haha).
We started to separate the real human openings (I've added the possibility to tag human contacts and bot contacts) and split future email campaigns:
\- the bot contacts received an adjusted email template (so we will have a different email hash for the security systems)
\- humans received the follow-ups (we knew exactly what they clicked and why).
The email campaign's outcome was greatly improved, and using GoHighLevel for sending cold outreach started to actually make sense!
I am curious - how are you dealing with that in similar CRMS? We moved from HubSpot to GoHighLevel, as my boss literally said, "I don't trust the stats from the HubSpot". Looks like HubSpot has the same issue?
Did anyone make an audit of their raw email campaigns data to see if it's inflated with bot and security system openings? I'd love to discuss how you are tackling that!
We started using GoHighLevel a couple of months ago, mostly for managing email campaigns via LCEmail, opportunity pipelines, and a few automations.
We've sent a couple of cold mass email campaigns and noticed something confusing: the open rates and delivery rates were pretty solid, but we got almost 0 leads. While we understood that we needed to fine-tune the campaign and the messaging, something still was not adding up.
Being the technical lead in the company, I launched an investigation and came to the conclusion that the numbers did not reflect the real situation because of security systems and bot openings.
I was tasked to create a system to filter out those to see real stats. In a couple of weeks, I've built an internal application that used the LCEmail API from GHL to check out the direct statistics, and to say that I was surprised with the numbers I got is to say nothing at all.
About 70% of the email openings were done by bots and security systems, even though the bot filtering functionality was turned on in GoHighLevel.
Another issue we've encountered with GoHighLevel is that their analytics dashboards are... well, just bad. You have to click several times to find something, and in the end, you just cannot get a full, clear picture of what's happening, so I created a much better and more convenient dashboard for our team to see the metrics quickly and in a clean, understandable way.
Doing that changed the way we treat email campaigns, gave us a much better understanding of how cold email campaigns should work, and gave us a clear direction for moving forward (not ditching the cold email campaigns, haha).
We started to separate the real human openings (I've added the possibility to tag human contacts and bot contacts) and split future email campaigns:
- the bot contacts received an adjusted email template (so we will have a different email hash for the security systems)
- humans received the follow-ups (we knew exactly what they clicked and why).
The email campaign's outcome was greatly improved, and using GoHighLevel for sending cold outreach started to actually make sense!
I am curious - how are you dealing with that in similar CRMS? We moved from HubSpot to GoHighLevel, as my boss literally said, "I don't trust the stats from the HubSpot". Looks like HubSpot has the same issue?
Did anyone make an audit of their raw email campaigns data to see if it's inflated with bot and security system openings? I'd love to discuss how you are tackling that!
We started using GoHighLevel a couple of months ago, mostly for managing email campaigns via LCEmail, opportunity pipelines, and a few automations.
We've sent a couple of cold mass email campaigns and noticed something confusing: the open rates and delivery rates were pretty solid, but we got almost 0 leads. While we understood that we needed to fine-tune the campaign and the messaging, something still was not adding up.
Being the technical lead in the company, I launched an investigation and came to the conclusion that the numbers did not reflect the real situation because of security systems and bot openings.
I was tasked to create a system to filter out those to see real stats. In a couple of weeks, I've built an internal application that used the LCEmail API from GHL to check out the direct statistics, and to say that I was surprised with the numbers I got is to say nothing at all.
About 70% of the email openings were done by bots and security systems, even though the bot filtering functionality was turned on in GoHighLevel.
Another issue we've encountered with GoHighLevel is that their analytics dashboards are... well, just bad. You have to click several times to find something, and in the end, you just cannot get a full, clear picture of what's happening, so I created a much better and more convenient dashboard for our team to see the metrics quickly and in a clean, understandable way.
Doing that changed the way we treat email campaigns, gave us a much better understanding of how cold email campaigns should work, and gave us a clear direction for moving forward (not ditching the cold email campaigns, haha).
We started to separate the real human openings (I've added the possibility to tag human contacts and bot contacts) and split future email campaigns:
- the bot contacts received an adjusted email template (so we will have a different email hash for the security systems)
- humans received the follow-ups (we knew exactly what they clicked and why).
The email campaign's outcome was greatly improved, and using GoHighLevel for sending cold outreach started to actually make sense!
I am curious - how are you dealing with that in similar CRMS? We moved from HubSpot to GoHighLevel, as my boss literally said, "I don't trust the stats from the HubSpot". Looks like HubSpot has the same issue?
Did anyone make an audit of their raw email campaigns data to see if it's inflated with bot and security system openings? I'd love to discuss how you are tackling that!
Hi GHL community!
We started using GHL a couple of months ago, mostly for managing email campaigns, opportunities pipelines and a couple of automations.
We've sent a couple of cold mass email campaigns and noticed a thing that confused us: the open rates and delivery rates are pretty solid, but we got almost 0 leads. While we understand that we need to fine-tune the campaign and the message, something still was not adding up.
Being a technical lead in the company, I launched an investigation and came to the conclusion that the numbers did not reflect the real situation because of the security system and bot openings.
I was tasked to create a system to filter out those. In a couple of weeks, I've built an internal application that used the LCEmail API from GHL to check out the direct statistics, and to say that I was surprised by the numbers I got is to say nothing at all. About 70% of the openings of the emails were done by bots and security systems, even though the bot filtering functionality was turned on in the GHL.
After that, the logical step was to build a nice professional dashboard for the whole analysis, and from there, I started to implement functionality for a smooth user experience.
Now, I've noticed that GHL is somewhat slow in implementing email-related functionalities and decided to make the application public and charge a small fee to cover server costs and future development.
Currently, I offer 15 days free trial - no commitment, just try it out to see the difference in the statistics. It passed all the reviews and is generally available in the marketplace - you can find it by the name "MailLens" or check the website maillens.io
The application is built as privacy-first; it does not store any emails of your contacts or names. Everything is tied to the internal GHL contact ID.
I will be happy to answer your questions, and please let me know if you are interested in an application like that. I am a solo developer, and I care about the product - I will be happy to hear your feedback and implement the functionality in future versions!