Connect ClickSend SMS and dplyr to Build Intelligent Automations

Choose a Trigger

ClickSend SMS

When this happens...

Choose an Action

dplyr

Automatically do this!

Enable Integrations or automations with these events of ClickSend SMS and dplyr

Enable Integrations or automations with these events of ClickSend SMS and dplyr

Triggers

New SMS Send

New SMS Send

Triggers when new sms is send by clicksend.

Request a new Trigger for ClickSend SMS

Actions

Send MMS Campaign

Send MMS Campaign

Send an MMS Campaign to up to 20,000 contacts.

Delete Contact

Delete Contact

Remove a contact from the selected list by exact name (case-insensitive). Returns whether a match was found and deletion details.

Send Fax

Send Fax

Sends a new fax.

Send SMS Campaign

Send SMS Campaign

Send an SMS campaign to up to 20,000 contacts at a time.

Create Contact

Create Contact

Creates a new contact in a list.

Send Letter

Send Letter

Sends an A4 PDF document via the post. The PDF is printed, folded, inserted into an envelope and posted to any address globally.

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Frequently Asked Questions

How do I start an integration between ClickSend SMS and dplyr?

To start, connect both your ClickSend SMS and dplyr accounts to viaSocket. Once connected, you can set up a workflow where an event in ClickSend SMS triggers actions in dplyr (or vice versa).

Can we customize how data from ClickSend SMS is recorded in dplyr?

Absolutely. You can customize how ClickSend SMS data is recorded in dplyr. This includes choosing which data fields go into which fields of dplyr, setting up custom formats, and filtering out unwanted information.

How often does the data sync between ClickSend SMS and dplyr?

The data sync between ClickSend SMS and dplyr typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from ClickSend SMS to dplyr?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between ClickSend SMS and dplyr?

Yes, you can set conditional logic to control the flow of data between ClickSend SMS and dplyr. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.