What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in conversational commerce platforms category. Our data sources in conversational commerce platforms category include;
Conversational commerce, also called conversational marketing, refers to e-commerce that delivers a conservational shopping experience to customers through various means, such as live support, chatbots, and voice assistants.
Conversational commerce platforms help businesses create intelligent chatbots and shopping assistants, using technologies like artificial intelligence (AI) and natural language processing (NLP). Conversational commerce software help retail businesses engage with online customers, answer their questions, and provide a more personalized experience.
If you’d like to learn about the ecosystem consisting of Conversational Commerce Platforms and others, feel free to check AIMultiple Conversational AI.
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Haptik builds Conversational AI solutions for you to help customers find the right information at the right time through their preferred channel. Haptik’s proprietary NLU enables most human-like co ... Show More
ultimate.ai is the leader in AI for customer service.
We use the data sources on the side for ranking solutions and awarding badges in conversational commerce platforms category. Our data sources in conversational commerce platforms category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Intercom
Comm100 Live Chat
Haptik
ultimate.ai
Aivo
Taking into account the latest metrics outlined below, these are the current conversational commerce platforms market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Intercom
ultimate.ai
Haptik
Comm100 Live Chat
Aivo
These are the number of queries on search engines which include the brand name of the solution. Compared to other Conversational AI categories, Conversational Commerce Platforms is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 94%, 18% more than the average of search queries in this area.
443 employees work for a typical company in this solution category which is 422 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 8 companies with >10 employees are offering conversational commerce platforms. Top 3 products are developed by companies with a total of 2k employees. The largest company building conversational commerce platforms is LivePerson with more than 1000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
Intercom
Comm100 Live Chat
Haptik
Aivo
Verloop
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Conversational Commerce Platforms companies. The most positive word describing Conversational Commerce Platforms is “Easy to use” that is used in 13% of the reviews. The most negative one is “Expensive” with which is used in 4.00% of all the Conversational Commerce Platforms reviews.
According to customer reviews, most common company size for conversational commerce platforms customers is 1-50 Employees. Customers with 1-50 Employees make up 53% of conversational commerce platforms customers. For an average Conversational AI solution, customers with 1-50 Employees make up 40% of total customers.
These scores are the average scores collected from customer reviews for all Conversational Commerce Platforms. Conversational Commerce Platforms is most positively evaluated in terms of "Overall" but falls behind in "Value For Money".
This category was searched on average for 135 times per month on search engines in 2022. This number has decreased to 90 in 2023. If we compare with other conversational ai solutions, a typical solution was searched 814 times in 2022 and this decreased to 720 in 2023.