AI campaign builderSay how you want leads followed up. Spark builds the campaign.
Part of the TalkerIQ AI dialer. "Call new leads within 5 minutes. If no answer, text them, wait a day, then try twice more in the evening." That's all Spark needs. It turns plain English into a validated call-and-text flow you can review, adjust and launch.
Spark · from sentence to sequence
What is an AI campaign builder?
An AI campaign builder turns a written description of your outreach into a working campaign. On TalkerIQ, Spark reads instructions like "call within five minutes, then text if no answer" and builds every call, text, wait and branch as a validated flow that opens on the visual canvas for you to review before launch.
- Name
- Spark, the TalkerIQ campaign copilot
- Input
- Plain-English instructions
- Output
- Editable call and SMS flow with schedule preview
- Builds
- Steps, waits, branches and retry rules per outcome
- Launch
- Only after you approve
Sound familiar?
I know exactly what our follow-up should be. I just don't have an afternoon to wire it up.
The people who know the best cadence — sales managers, team leads, founders — are rarely the ones with time to build automation. Spark closes the gap between knowing the playbook and running it.
Building flows takes time you don't have
Every new list or offer means rebuilding a sequence step by step.
Templates are never quite right
A generic cadence needs so many edits it's faster to start over.
Small mistakes, big consequences
A wrong wait time or missing branch means leads called at the wrong hour — or not at all.
Changing strategy means starting again
"Make the second touch a text" shouldn't mean rebuilding the whole campaign.
How it works
From a sentence to a sequence: how does an AI campaign builder work?
Building a campaign with Spark — and who handles each step.
Describe it
Open Spark in the campaign builder and write your outreach strategy in your own words.
YouSpark drafts the flow
Channels, wait times, attempts, time-of-day limits and what happens on each outcome become concrete steps.
AI copilotReview on the canvas
The draft opens on the visual flow builder with a schedule preview of every planned touch.
YouRefine by chatting
"Make the second attempt an SMS." "Don't call after 7 p.m." Spark revises the flow and remembers the conversation.
You + AIApprove and launch
The flow runs with the same validation, business hours and tracking as a hand-built campaign.
Automatic
Describe
Plain English in, real flow out.
Write the cadence the way you'd explain it to a colleague. Spark understands attempts, channels, wait durations, time-of-day constraints and outcome-based branching — so "try twice by phone, then switch to text, but never on weekends" becomes a precise call and SMS cadence rather than a template you have to rework.
- Speed-to-lead sequences, multi-day no-answer ladders, SMS-first with call fallback
- Retry behaviour per outcome — voicemail treated differently from no answer
- Time-of-day and day-of-week limits understood from your words
Review
What you approve is exactly what runs.
Spark's output lands on the flow builder canvas with a schedule preview. Inspect every step and edge, adjust anything by hand, and launch only when it matches your intent. Everything Spark produces passes the same validation as a hand-built flow — no dead ends, no loops, no ambiguous branches.
- Visual review on the flow builder canvas
- Schedule preview showing when every attempt fires
- Same validation as hand-built flows
After launch
Spark designs the plan. Smart retries tune it per lead.
Once the campaign is live, AI smart retries can optimise the details for each lead — when to try again, on which channel, with what intent — within the limits your flow sets. Spark keeps the chat history for each campaign, so later changes build on what you already have.
- Conversational updates to a running campaign's strategy
- Per-campaign chat history, so refinements don't start over
- Pairs with AI smart retries for per-lead timing
Why the AI tried again — and how
- AI callTue · 2:10 PMVoicemail
- Next: switch to SMS at 6 PM — afternoon calls go unanswered; she replied to a text last month.
- Text · value reminderTue · 6:00 PMNo reply
- Next: call Wednesday evening from a local number, scheduling ask.
- AI call · answeredWed · 5:40 PM — meeting bookedDone
Compare
Build by hand, start from a template, or ask Spark: which is fastest?
All three end in the same kind of TalkerIQ flow. The difference is how much work it takes to get there.
| Build by hand | Start from a template | Describe it to Spark | |
|---|---|---|---|
| Starting point | Blank canvas | A fixed cadence | Your own words |
| Fits your playbook | Exactly, after the work | Roughly, after edits | As described, then refined by chat |
| Skill needed | Comfort with flow logic | Some | None — write it like a message to a colleague |
| Validation and schedule preview | Yes | Yes | Yes — same checks |
| Changing strategy later | Rewire steps by hand | Edit or start again | Ask Spark; chat history is kept per campaign |
A Monday with Spark
What does building a campaign with Spark look like?
A sales manager at a SaaS company with a new webinar list. Names are illustrative.
- Nadia writes the brief
"Call webinar sign-ups within an hour. If no answer, text the recording link, wait a day, then call twice more after 4 PM. Stop if they book."
- Spark drafts the flow
An AI call step, a no-answer branch to SMS, a one-day wait, two afternoon retries and an end step on "booked" appear on the canvas.
- Nadia adjusts by chat
"Skip weekends and use a different text for people who hit voicemail." Spark revises the flow and the schedule preview updates.
- Launch checklist passes
Agent, number and list are attached; validation finds no dead ends. Nadia launches.
- Bookings land on the calendar
Booked attendees drop out of the flow automatically; the rest move on to power-dialer callbacks for her reps.
What changes
What teams notice when building takes a sentence.
Most useful for outbound sales teams running speed-to-lead sequences and AI outbound calling campaigns. Replies are picked up by the AI SMS agent.
from idea to live campaign
Describe, review, launch — instead of building step by step.
playbook, not a template
Spark builds the cadence you described, with your channels and timing.
invalid flows
Everything Spark creates passes the same checks as hand-built flows.
In the details
Everything in Spark.
Natural-language builder
Turns a written cadence into calls, texts, waits and branches.
Retry strategy
Sets retry behaviour per outcome, like voicemail versus no answer.
Conversational refinement
Keep chatting to revise; history is kept per campaign.
Opens on the canvas
A normal TalkerIQ flow you can edit by hand.
Calling-hours aware
Generated flows respect campaign business hours and scheduling.
Validated
No dead ends, loops or ambiguous branches in what you launch.
FAQ
Questions teams ask about Spark
Still unsure? Talk to our team.
Reviewed by the TalkerIQ product team · Updated
What can I ask Spark to build?
Any outreach cadence made of AI calls, text messages, waits and conditions — for example a speed-to-lead sequence, a multi-day no-answer ladder or an SMS-first campaign with call fallback. Spark also sets retry behaviour per outcome, such as voicemail versus no answer.
Do I have to accept what Spark generates?
No. Spark drafts; you decide. Every generated flow opens in the visual builder, where you can edit steps by hand, preview the schedule and launch only when it matches your intent.
How is Spark different from a template?
Templates give you a fixed starting point. Spark builds the exact cadence you describe, including attempts, channels, wait times, time-of-day limits and outcome-based branching.
Can Spark update an existing campaign?
Yes. Continue the conversation to revise the strategy. Spark keeps your chat history per campaign, so refinements build on what you already have instead of starting over.
Will Spark create flows that call outside my calling hours?
No. Generated flows respect the campaign's business-hours and scheduling settings, and the schedule preview shows exactly when each attempt would fire so you can check before launch.
Is Spark included with TalkerIQ campaigns?
Spark is part of the TalkerIQ campaign builder. Book a demo to see it build a live campaign from your own playbook, or compare plans on TalkerIQ pricing.
Can AI build a sales cadence for me?
Yes. With Spark, the TalkerIQ AI campaign builder, you describe the sales cadence in plain English and Spark builds the calls, texts, waits and branches for you. You review the flow and its schedule preview, edit anything by hand, and launch only when it is right.
What should I include when I describe a campaign to Spark?
Tell Spark who the leads are, how fast the first touch should happen, which channels to use and in what order, how long to wait between attempts, what to do on voicemail versus no answer, any hours or days to avoid, and when to stop — for example when a lead books or opts out.
Keep exploring
Watch Spark build your cadence.
Book a 30-minute walkthrough. Tell Spark your follow-up playbook and see the flow it builds, live.