AUDIENCEIQ· Every attribute is a trigger. Every outcome is training data.
Know Your Customers.
Then Engage.
One unified profile per customer, fed by every data source you already have. Unlike a data platform that only stores, every row here acts.
Trusted by 1,000+ Brands Messaging Millions Daily
A profile that
can act.
AudienceIQ unifies every signal into one profile per person. Data and action in the same table turn campaigns from events into a loop.
Pritam Singh
- Lifecycle
- Browser
- Last seen
- 01 Aug 25
- Total events perf…
- 660
- Last reply
- 2d ago
- Preferred channel
- Consent · WhatsApp
- Unknown
- Verified
- No
- Language
- English
User Activity
Live- Eventcheckout_startedcart ₹2,480 · 2 items · shopify
- Deliverywhatsapp.deliveredTemplate: Cart reminder (English)
- Replywhatsapp.reply“Is COD available for this order?”
- Consentconsent.updatedWhatsApp marketing · opted in
- Identityidentity.verifiedPhone +91 98200 44110
Automate sends with
behavioral triggers.
Build a segment using attributes, events, or behavioral patterns. A journey starts the moment someone enters it. The audience is never a static list you export.
Trigger Type
Attribute or Segment
Events
Entered today
12,408
You can change trigger settings at any time later.
Sync your data
from anywhere.
Multiple sources, one destination. Import and organize data from any location with native integrations.
Inbound Data
SDK
API Connect
Custom Webhooks
Integrations
Inbound
zixflow.track()
{
"event": "product_viewed",
"sku": "ZX-2481",
"price": 2480
}Profile updated
Total events perf… 664 → 665
Send triggered
Product suggest journey
34ms end to end
Filters that go layers deep.
Combine user behavior into one rule tree with a live count. Or describe the audience and let AI assemble the rules.
Segment Builder
Describe the audience you want…
Rule Group
WHERE
One platform, complete engagement visibility
A profile is only worth acting on if the data got in clean, the consent is real and the numbers hold at peak. That work is already done here.
Compliance
Accurate data, enforced consent
Type-validated ingestion rejects an incomplete record, and an opted-out send at the door.
{ "email": "priya@…", "plan": "pro" }Intelligence
Know what they'll do next
Churn risk and value live on the profile, so you can target a prediction like you target a city.
Enrichment
Enrich records with AI
Run real-time research to return structured data and write it to properties.
- industryD2C · Apparel
- employees120-250
- tech_stackShopify, Klaviyo
Messaging
Personalization that can't misfire
Every merge field carries a fallback, so a blank trait never ships as a blank.
Hi {{first_name|there}}, your {{city}} order ships today.
Hi Pritam, your Pune order ships today.
Orchestration
Write data mid-journey
Update a profile inside a workflow and branch the next send on what you just wrote.
Import
CSV import that tells you what broke
Map columns to profile fields to validate every row and get back a file containing the failed ones.
- Customer Email→email
- Mobile→phone
- Signup Dt→created_at
- Spend→lifetime_value
1,284 rows written · 6 rejected → errors.csv
Analytics
Measure growth at every step
Delivery and engagement metrics for every interaction, so you can see which step of the loop is actually moving revenue.
Infrastructure
Built for BFCM-level traffic
Real-time ingestion and delivery that holds its latency through the peak.
p99 write latency 42ms · BFCM peak held
Security
Your data, locked down.
Certified to ISO 27001 and compliant with GDPR and DPDP. Security that holds up to a bank's audit.
Audited annually
Residency
Your data, in your region
Purpose-limited data, deletable on request, with residency options for enterprises growing across borders.
Profiles stored and processed in region