rainbow dots, lines and doodles on purple and teal background.
Calculating the roi of a lead gen bot is a little different from the previous examples, as it will work a little differently than human employees.
Number of tracks
often, clients decide to measure the roi of lead gen bots based on the number of people who talk to the chatbot. Choosing the number of leads generated by the bot may be a tempting kpi, but this negates the importance of the quality of each lead.
We've seen clients with lead generation chatbots get philippines mobile phone number lower overall numbers, but much higher lead quality. This is not uncommon: human error can push employees to include or exclude potential customers based on information that is not supported by data.
Instead, an ai chatbot will identify the ideal prospect based on past data and stick to its framework.
If your sales reps rate 7/10 leads, try to get your bot to rate 5/10.
Starting variables
starts with:
number of monthly visits to the website
how many visitors interact with the chatbot
how many leads the bot qualifies
the first step is to establish a realistic number of potential customers, that is, those who will chat with your chatbot.
If you have 100 visitors to your website, chances are only 40 people spend time viewing the content - many of your website visitors use your home page just to browse. With these numbers, your goal could be for 10 of those 40 people to interact with your chatbot, and for 8 of those 10 to have a real conversation.
Reduction of emails and forms
an important metric to know if your chatbot is providing value is the number of forms and emails your employees receive about information answered by the bot.
If the chatbot successfully provides this information to website visitors, the number of emails and form submissions should decrease.
The goal should be a 20-30% reduction after proper implementation, and a total reduction of 60-65% after maximizing the potential of your chatbot.
Ai agent deployment next month
our team has successfully deployed enterprise ai chatbots since 2017.
Our customer success team has thousands of successful deployments under their belts and works with customers to ensure high-quality ai projects that drive roi.
Our infinitely flexible platform is considered the most powerful on the market: it can be adapted to any use case, any department and any sector.
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Everything you need to know about the new openai model (and it's not gpt-5)
openai has released the first of its long-awaited llm series, formerly known as strawberry.
Sarah chudleigh
the long-awaited gpt-5 model from openai has already gone on sale, and it is called openai o1.
If you want to know more about the o1-preview and o1-mini versions, you can check out our o1 model overview here.
