List of Insocial Chatbot Customers
Delft, 2611 AM,
Netherlands
Since 2010, our global team of researchers has been studying Insocial Chatbot customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Insocial Chatbot for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Insocial Chatbot for Chatbots and Conversational AI include: Rtl Nederland, a Netherlands based Media organisation with 2500 employees and revenues of $649.0 million, Samsung Electronics Benelux, a Netherlands based Manufacturing organisation with 800 employees and revenues of $200.0 million, Inshared Netherlands, a Netherlands based Insurance organisation with 260 employees and revenues of $200.0 million and many others.
Contact us if you need a completed and verified list of companies using Insocial Chatbot, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Insocial Chatbot customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Inshared Netherlands | Insurance | 260 | $200M | Netherlands | Insocial | Insocial Chatbot | Chatbots and Conversational AI | 2012 | n/a |
In 2012, InShared Netherlands implemented Insocial Chatbot to capture transactional feedback and publish customer reviews. The Insocial Chatbot implementation is categorized as Chatbots and Conversational AI and was used to collect transactional surveys that feed customer experience activities and review publication workflows.
The deployment leveraged conversational survey and self service capabilities, with conversational survey bots configured to solicit post-transaction feedback and to capture qualitative review content. Functional configuration included automated survey triggers tied to customer transactions, review moderation and publishing workflows, and conversational logic for guided feedback collection.
Operational coverage focused on claims and onboarding processes within InShared Netherlands, with survey and review outputs routed to claims handlers and onboarding teams and the central customer experience function. The implementation was embedded into operational workflows for claims processing and new customer onboarding to ensure feedback was captured at key transaction points.
Governance centered on using collected feedback to inform process change, with insights from Insocial Chatbot used to improve claims handling and onboarding flows and to drive continuous customer experience improvements. The record reflects ongoing use of Insocial Chatbot driven feedback loops rather than a point in time pilot.
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Rtl Nederland | Media | 2500 | $649M | Netherlands | Insocial | Insocial Chatbot | Chatbots and Conversational AI | 2015 | Spotler |
In 2015, Rtl Nederland deployed Insocial Chatbot using the Chatbots and Conversational AI category to centralize webcare, social and messaging customer service workflows. The deployment focused on measuring transactional NPS across webcare, social and messaging channels and on feeding narrowcasting dashboards used by frontline teams in the Netherlands.
The implementation used Insocial Chatbot modules for chatbot interaction handling and for webcare integration, coupled with transactional NPS survey instrumentation to capture feedback after agent and bot interactions. Configuration emphasized conversational routing and automated handling, with chatbots and AI explicitly cited as handling a material share of incoming messages to reduce manual triage and sustain continuous channel coverage.
Integrations included a documented connector to OBI4wan for monitoring and webcare ticket workflows, enabling near real time handoff between automated conversational agents and human webcare staff. Spotler served as the system integrator and VAR on the project, coordinating integration workstreams and the rollout of narrowcasting dashboards.
Operational scope covered webcare, social and messaging channels and frontline customer service teams in the Netherlands, with narrowcasting dashboards delivering transactional NPS to operational users. Governance centered on instrumenting transactional NPS as an operational KPI within chat and webcare flows to inform frontline decisions, and the case explicitly cites chatbots and AI taking a material share of incoming message volume as a key implementation outcome.
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Samsung Electronics Benelux | Manufacturing | 800 | $200M | Netherlands | Insocial | Insocial Chatbot | Chatbots and Conversational AI | 2019 | n/a |
In 2019, Samsung Electronics Benelux implemented Insocial Chatbot to establish continuous measurement of service experience across channels. The deployment used Insocial Chatbot within the Chatbots and Conversational AI category to instrument conversational surveys and feedback collection for customer service in the Benelux region, beginning on Facebook Messenger and expanding to additional service touchpoints.
The implementation configured survey bot workflows to capture NPS, CSAT, FCR and other service KPIs through conversational prompts and automated follow ups, leveraging conversational routing and feedback capture capabilities common to Chatbots and Conversational AI. Insocial Chatbot was used to centralize question logic, cadence, and response handling so that conversational interactions could generate structured KPI data for service teams.
Operational coverage focused on customer service functions across the Benelux operating area, with the first phase live on Facebook Messenger and subsequent phases extending the same conversational measurement to other owned and managed service channels. Integrations were channel centric, explicitly including Messenger as the initial channel, while the architecture supported parallel channel collection across web and messaging touchpoints.
Governance and rollout followed a phased, channel first approach, with regional service operations managing configuration, survey content, and cadence for continuous measurement. The program emphasized ongoing orchestration of conversational surveys and feedback workflows to feed service governance and operational review processes, using Insocial Chatbot as the central conversational feedback engine.
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