involve.me specializes in lead generation funnels for online customer engagement through white label forms, quizzes, surveys and calculators.
Its main software is an AI-powered form builder for embeddable and standalone online quizzes, online surveys, web calculators, online forms, product configurations and payment pages that look & feel custom coded.
involve.me's customer experience platform helps businesses create personalized interactions at every step of the customer journey, gather better data and increase audience involvement.
With involve.me's AI-powered form builder you can create interactive funnels for lead acquisition, quizzes & personality tests for segmentation & lead qualification, digital sales assistants for sales conversion, price calculators and product & customer satisfaction surveys for measuring customer experience.
involve.me's AI-powered form builder has been used by Salesforce, Universal Pictures, Nestlé, Pearson Education, Time Out and Bloomberg LP.
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involve.me's answer:
involve.me uses AI across the entire form building process. Using involve.me you can utilize AI to create, personalize and analyze forms for any business and use case.
involve.me's answer:
involve.me's editor is intuitive, easy to use and does not require any technical knowledge. You can create on-brand forms in no time and tackle complex use cases. Using AI, the process of creating a new form, survey or quiz is fast and simple. Additionally, there are plenty integrations available out of the box and a large template library to get you up to speed with any form, quiz or survey you have in mind.
involve.me's answer:
Business across the board use involve.me to boost their online data collection and improve lead generation.
One of our customers said: Our small mining operation needed to go from paper based process to digital forms. At first, Google forms allowed us to use this Web-based platform that lets individuals and businesses of all sizes build customizable forms to conduct surveys and generate real-time response charts.
We saw that a small sample of our field workers quickly adopted the new way of working.
Step 1: accomplished.
Now unto step 2.
How do we deploy this unto our whole team? We needed email notifications, offline response collection when without wifi on the field. Our CIO and his director of operations needed deep data and trends analysis as well. Our inspectors, when doing their audits, needed to capture approx. 25 high definition pictures, some audio notes and a video which wasn't really possible with google forms.
So, we can 100% credit the use of google forms to our transition towards a paperless process, but as we navigated saashub.com a little more, we were able to discover a world of alternatives. We strongly suggest to start using google forms before undergoing a big implementation plan towards such enterprise level inspection tools like nspek or even cheaper solutions like prontoforms.
I am not sure if we would start with google's solution first if we would to do this digital transformation all over, but it did allow us to discover it's limits pretty quickly.
At some point, we needed custom fields and functions, and none of us was able to code, so the nSpek training that comes with the application definitely sets it's self apart, giving us full autonomy.
Based on our record, involve.me seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
- Mobile friendly ( I have tried involve.me which I loved but the form is super strange on mobile.). Source: over 1 year ago
I've had pretty good success with Facebook for these kind of user surveys, find a group or groups of the type of users you want to work with and check with the mods/rules that its ok to post surveys. I then use something like typeforms or involve.me to host my questions and make sure there are a few "qualifying" questions throughout the survey to later filter out responses that are a bad fit. Source: almost 2 years ago
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