Triggers that make sense
Start flows from events that matter to your process, such as a new contact, a keyword, or a stage change.
Spark solution
Flows that work while your team focuses on what matters
Design automations tied to your chats and pipeline: welcome messages, reminders, stage changes, and routines that run on rules, not luck.
For operations with heavy inbound that cannot rely on memory and group-chat reactions alone.
Spark · Automations
Active flow
TriggerMessageCRM
When everything is manual, consistency fades and customers feel the mismatch
Each rep improvises, and the lead feels the back-and-forth.
- 1Welcomes and confirmations eat time that should go to selling.
- 2Reminders and follow-ups slip because nobody remembered to send them on the right day.
- 3Without a flow, the team lives firefighting instead of moving opportunities with a method.
What changes with native automations in Spark
Clear rules handle the repetitive: first replies, lead hygiene, and small actions that keep momentum.
Humans take over where judgment matters: negotiation, exceptions, and relationships, with less operational noise in between.
Automation with chat and CRM context
Less script memorization, more reliable execution every day.
Messages at the right time
Schedule replies and reminders to reduce risky silence without sounding like an out-of-context bot.
A pipeline that updates itself
Move or tag leads when the conversation hits criteria so the CRM reflects reality without manual reclassification.
Fewer forgotten tasks
Pair automations with tasks and queues so follow-up becomes visible routine, not a loose promise in a group chat.
Observable so you can tune safely
See what fires, how often, and where humans step in so you can refine with confidence.
Part of the same ecosystem
Automations connect to inbox, CRM, and campaigns: fewer brittle integrations, more end-to-end flow.
How to run automations with a method
Three steps away from improvisation.
- 1
Map what should be automatic
List triggers and repetitive messages with Spark and set clear limits for what the system does and where people take over.
- 2
Build the flow in Spark
Configure steps, content, and destinations with onboarding support so it matches your real operation, not a pretty diagram nobody uses.
- 3
Monitor and improve
Watch volume, exceptions, and friction points to adjust copy, timing, and rules based on real customer behavior.
Frequently asked questions
Less repeating messages. More moving opportunities forward.
See Spark automations with your flows and your channels.