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How to use this metric to improve performance:

Posted: Mon Jan 20, 2025 8:43 am
by sakibkhan22197
Increase the speed and accuracy of responses. Users value fast and accurate responses. Optimizing response time directly impacts satisfaction.
Personalize communication. Consider previous interactions with the user and offer personalized solutions. For example, a bot can remind about an abandoned cart or offer a discount on an item of interest.
How to calculate the efficiency of an auto funnel
Conversion cost shows how much money was spent to attract one client through an automated sales funnel.

Calculation example

Let's imagine that you spent 50,000 rubles on promoting the auto-funnel. During the campaign, the funnel led to 100 conversions (purchases, applications or other target actions). We use the formula: (Cost of traffic + cost of subscription to the chatbot) / number of conversions.

(50,000 ₽ + 5000 ₽ ) / 100 = 500 ₽

This means that each conversion cost 500 rubles. If your target indicator is lower, you need to analyze the auto funnel and optimize costs or improve its stages.


Analyze the stages of the funnel. Determine at which stage the most leads drop off. Perhaps scripts need to be revised or offers changed.
Optimize your advertising costs. Analyze which channels produced the best results and reallocate your budget to more effective ones.
Test different elements of the funnel. Use A/B tests on key steps — headlines, CTAs, or offers — to see what works best.
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Our experts will analyze the lead generation funnel and tell you where list of netherlands cell phone number you are losing leads. They will come up with hypotheses and calculate conversions and revenue.

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It usually doesn't happen that a chatbot works from the first launch and doesn't create problems. A chatbot is the same marketing tool as a landing page or email newsletter. Therefore, you will always have to refine something, analyze, launch and refine it again. And so on in a circle.

Use real-time event analytics. Instead of relying on long-term reports, enable real-time monitoring. This will allow you to quickly see where failures or delays occur and make changes immediately.
Conduct a user survey. Ask customers directly what exactly they didn’t like about the bot’s performance. Such feedback provides insights that cannot be obtained from analytics: for example, awkward wording or the wrong tone of messages.
Manage user expectations. If the bot is not solving complex issues, communicate this at the beginning of the conversation. This reduces frustration and helps direct users to the right channel if the bot fails.
Engage UX experts to analyze scenarios. Instead of trying to improve the bot yourself, engage UX experts. They will audit the interactions and suggest improvements that can improve usability and efficiency.