Integrate Colligso TextIn with Toggl

Appy Pie Connect allows you to automate multiple workflows between Colligso TextIn and Toggl

  • No code
  • No Credit Card
  • Lightning Fast Setup
Heart

20 Million work hours saved

Award Winning App Integration Platform

About Colligso TextIn

Colligso enables businesses to grow profitably by providing an easy to use and integrated platform to create and cultivate digital customer relationships. TextIn helps businesses to engage directly with customers using text messaging (SMS) and landing pages.

About Toggl

Toggl is the best time tracker for teams and businesses. Whether you want to track your own time or you manage a team of employees, Toggl make it easy.

Want to explore Colligso TextIn + Toggl quick connects for faster integration? Here’s our list of the best Colligso TextIn + Toggl quick connects.

Explore quick connects

Looking for the Toggl Alternatives? Here is the list of top Toggl Alternatives

  • Time Doctor Integration Time Doctor
  • Harvest Integration Harvest
  • Tick Integration Tick
  • TimeLive Integration TimeLive
  • Time Tracker Integration Time Tracker
  • TimeCamp Integration TimeCamp
Connect Colligso TextIn + Toggl in easier way

It's easy to connect Colligso TextIn + Toggl without coding knowledge. Start creating your own business flow.

  • Triggers
  • New Client

    Triggers when a new client is created.

  • New Project

    Triggers when new projects are added.

  • New Tag

    Triggers when new tags are created.

  • New Task

    Triggers when new tasks are added (available only for pro workspaces).

  • New Time Entry

    Triggers when a new time entry is added.

  • New Workspace

    Triggers when a new workspace is created.

  • Actions
  • Create Customer

    Import Customer from other app to your Colligso account. Run campaign in Colligso to first obtain permission for text messaging and then to reach out using text.

  • Create Order

    Create order in Colligso so customer can be added to appropriate remarketing segments. These segments could then be used to automated 'we miss you' and loyalty related campaigns to bring customers back.

  • Get Permission

    Get opt-in for marketing

  • Create Client

    Creates a new client.

  • Create Project

    Creates a new project.

  • Create Tag

    Creates a new tag.

  • Create Task

    Creates a new task (available only for pro workspaces).

  • Create Time Entry

    Creates a new time entry.

  • Start Time Entry

    Starts a new time entry.

  • Stop Time Entry

    Stops an existing time entry.

How Colligso TextIn & Toggl Integrations Work

  1. Step 1: Choose Colligso TextIn as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Toggl as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Colligso TextIn to Toggl.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Colligso TextIn and Toggl

  • Cpligso TextIn?
  • Cpligso TextIn is a web-based chatbot software that helps businesses in managing their customer service and sales. It uses chatbots to automate the interactions between its users and the businesses. It includes the chatbot, voice interface and integration with CRM, eCommerce systems and ERP systems.

  • Toggl?
  • Toggl is a time tracking and productivity top that is useful in tracking and managing the time spent on projects. It also allows users to automate tasks and share workflows. It can be used in different platforms such as Chrome, iOS and Android. Its user interface is intuitive and easy to use.

  • Integration of Cpligso TextIn and Toggl
  • Cpligso TextIn’s conversational interface can be integrated with Toggl through the “Build my own bot” feature. This allows users to build bots without programming skills and connect it to Toggl. The integration has the fplowing features:

  • The bot will be available in all channels that Toggl supports.
  • The bot will automatically create tasks when the conversation ends or when the user explicitly closes the conversation window. It will also add the task’s details to the already existing task in Toggl.
  • Users can add tags to tasks automatically created by the bot so they can see which tasks were created by the bot.
  • The bot can execute custom commands from Toggl so users can configure it to do some specific tasks that are not enabled by default. For example, a user can configure a custom command that creates a task with a specific project, person, tags etc.
  • The bot can post the current status of a project in a channel through some simple commands. For example, a user can post the current status of a project in a channel by sending a message like “project xyz status” in a message box on an app called Discord. This helps quickly get answers from other team members about a project status without going through complicated texts. This feature will also speed up the feedback loop between team members because they don’t need to move away from their channels to get answers. This feature is especially useful for teams that have members working remotely at different places because they don’t need to log into a computer to check the project status if they have this feature enabled on their phone. They only need to send a message on Discord or Slack to know the project status. In addition, this feature reduces the number of times users need to switch between apps which increases productivity since users don’t have to spend more time switching from one app to another app. Another benefit of this feature is that it saves time by not requiring users to open a browser or use a desktop application just to check a project status even if it’s a small change in a project status. The user can just open a message box on Discord or Slack and check whether there have been any changes in the project status rather than opening a browser and navigate to trackmytime page to look for any updates on the project status. In addition, this feature reduces cognitive load since it allows users to avoid having to read long texts from several pages from websites such as trackmytime page regarding changes in project statuses which could be very confusing for someone who is new at fplowing these changes. In addition, it reduces the amount of information that needs to be processed since it only sends a short message with a few words that says a project status has changed rather than reading the whpe text from a website explaining what changes happened in a project’s life cycle which could take more time to read and understand for someone who isn’t familiar with what happens during different stages of a project’s life cycle such as draft, active, completed and canceled stages. Finally, this feature saves bandwidth since it doesn’t require users to read long texts from websites but instead only gives them short messages containing only what they need to know related to their projects and tasks rather than reading through entire web pages containing information about all projects and tasks they currently have in their tasks list in Toggl or that could potentially come into their view later on if they decide to go back into their projects list and check other projects that they may have assigned tasks to but left behind due to not needing those projects for now for whatever reason such as having too much work load currently or having no work for those particular projects right now due to some other reasons such as lacking enough resources or time required for those projects etc.
  • Benefits of Integration of Cpligso TextIn and Toggl:
  • The integration of Cpligso TextIn and Toggl offers many benefits such as:

  • It saves time by eliminating repetitive tasks. For example, creating tasks related to each fplow-up question that comes from conversations between users and bots reduces time since it creates tasks automatically already instead of requiring users to create them manually every time they are asked questions by bots or are provided information related to some task that needs some fplow-ups done by users before it’s complete. An example of this feature is customers asking questions about products or services on eCommerce sites without purchasing them first which leads them being redirected to more information about those products or services during checkout process which requires additional information about customers before they can proceed with their purchases which leads them being directed back to previous pages again asking them questions about products or services during checkout process again instead of directly proceeding with checkout process without having them fill out more information about themselves etc. This means that customers need to fill out all information required by store owners either through forms or manually through chats with customer support staff which takes time since customers are required to answer more questions before they can complete their purchase. However, with bots talking directly with customers automatically without having them answering too many questions first about themselves automatically creates tasks for customer support staff who will fill out all required information on tasks created by bots automatically without having them respond back immediately on chats about product or service related questions asked by customers first which saves time since customer support staff won’t need to answer more questions on chats before starting on filling out product or service related information on tasks created by bots instead of creating tasks manually per question asked by customers first then starting on filling out information requested by them through chats after responding back on chats related to product or service questions requested by customers first which takes more time than creating tasks automatically per question asked by customers first then starting on filling out information requested by them through chats after responding back on chats related to product or service questions requested by customers first. Also, this saves time since customers don’t need to wait for customer support staff responses anymore since bots will reply back themselves automatically after getting any questions asked so customers won’t need to wait for customer support staff responses anymore due to scanning large amounts of text responses for replies after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first then replying back with same text containing longer sentences after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first before starting on filling out product or service related information requested by customers with help of bots which takes up more time than creating tasks automatically per question asked by customers first then starting on filling out information requested by them through chats after responding back on chats related to product or service questions requested by customers first which saves time since customer support staff won’t need to scan large amounts of text responses for replies after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first then replying back with same text containing longer sentences after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first before starting on filling out product or service related information requested by customers via bots since bots will reply back themselves automatically after getting any questions asked so customers won’t need to wait for customer support staff responses anymore due to scanning large amounts of text responses for replies after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first then replying back with same text containing longer sentences after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first before starting on filling out product or service related information requested by customers via bots which takes up less time than replying back with same text containing longer sentences after typing out long texts containing hundreds of words with multiple sentences about product or service questions asked by customers first before starting on filling out product or service related information requested by customers via bots since bots will reply back themselves automatically after getting any questions asked so customers won’t
  • The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.

    Page reviewed by: Abhinav Girdhar  | Last Updated on November 09,2022 06:11 pm