Securely integrate LivePerson with Mode
LivePerson’s artificially-intelligent chatbots automate approximately 70% of customer inquiries, allowing you to scale your business without the overhead of hiring new staff. As an AI-powered chat platform, LivePerson offers a comprehensive service that simplifies the process of building, managing, and finetuning chatbots to support your business goals.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your LivePerson data to Amazon Redshift
Load your LivePerson data to Google BigQuery
ETL all your LivePerson data to Snowflake
Move your LivePerson data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Integrate LivePerson With Mode Today
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LivePerson's End Points
LivePerson Messaging Channels
LivePerson's AI chatbots engage your customers via the messaging channels they're already using. You can embed LivePerson into your website and mobile apps to answer customer questions while they're using your service or browsing your products. Your LivePerson chatbots can also communicate with your customers via SMS, Apple Business Chat, Facebook, Twitter, WhatsApp, Google RBM, Email, Line, and Google AdLingo.
LivePerson AI-Powered Chatbots
LivePerson chatbots can address approximately 70% of your customer's questions by using a powerful AI engine that was taught with decades worth of consumer data. The platform includes AI templates with prebuilt dialog flows and advanced natural language processing features that get your chatbots up and running in no time. LivePerson makes it easy for non-tech-savvy employees — including your customer service reps and content creators — to develop and finetune chatbots from scratch.
LivePerson Call-to-Message Features
LivePerson includes a feature to turn the phone calls you can't answer into messaging conversations. If customers call and need to wait on hold, this function gives them the chance to start a messaging conversation and get help immediately rather than wait on hold or wait for a returned phone call. According to LivePerson, 8 out of 10 customers choose to message when offered the chance to stop holding. In this way, LivePerson reduces the number of telephone reps your business requires, as chatbots can answer frequently asked questions, schedule appointments, and more — without the need for human employees.
LivePerson Advanced Management Tools
LivePerson includes features that put managers at the center of messaging conversations, like a web-based workspace where you can monitor and control all conversations between customers, bots, and agents. Meanwhile, with bot-assisted messaging, agents can manage multiple customer-bot conversations at once from a desktop computer, laptop, or mobile device. This allows agents to intervene when required for more positive customer experiences. LivePerson even provides real-time feedback on conversation health, so your agents know which conversations most urgently require their attention.
LivePerson Analytics and Metrics
The LivePerson platform tracks and analyzes all aspects of customer messaging conversations by monitoring information like chat duration, customer intent, conversion stats, and customer satisfaction levels, so you can gain key insights from your customer messaging conversations. These insights will help you improve chatbot interactions while providing ideas for improving other areas of your business, products, and services.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.