Customer Data Platform

Your data already knowswho will buy

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Ó
AudienceContactsAll contacts5,847 contacts
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FiltersContact detailsColumns
Full nameLast seenMobile phoneEmailTotal spentCountryLanguage
Sophie Masson4 days ago+33 06 00 00 04…sophie.masson.477@example.…$90.00FranceFrench
Vada Anderson12 days ago+1 512 555 0149…vada.anderson.470@example.c…$227.00United StatesEnglish
AAAmédée Arnauda month ago+33 06 00 00 04…amedee.arnaud.456@example.…$364.00FranceFrench
PHPiper Hamilton2 months ago+1 512 555 0150…piper.hamilton.463@example.c…$501.00United StatesEnglish
Emily Carter12 days ago+1 512 555 0148emily.carter@example.com$1,284.00United StatesEnglish
CKChase Keeling5 months ago+31 06 1000 0…chase.keeling.442@example.c…$775.00NetherlandsDutch
Korbinian Spelmeyer8 days ago+49 01510 00004…korbinian.spelmeyer.435@exa…$912.00GermanyGerman
Javon Lindgren6 weeks ago+1 512 555 0152…javon.lindgren.428@example.c…$189.00United StatesEnglish
Sam Hills4 days ago+1 512 555 0153…sam.hills.421@example.com$326.00United StatesEnglish
EMElea Möllenbeck12 days ago+49 01510 00004…elea.mollenbeck.414@example…$463.00GermanyGerman
Ignacio Matos Porrasa month ago+34 600 19 20…ignacio.matos.porras.0.fc4d3e…$600.00SpainSpanish
JFJuana Ferrer Casillas2 months ago+34 600 19 20…juana.ferrer.casillas.1.fc4d3e@…$737.00SpainSpanish
IFIsaac Feeney3 months ago+1 512 555 0154…isaac.feeney.521.fc4d3e@exa…$874.00United StatesEnglish
Kris Skiles5 months ago+1 512 555 0155…kris.skiles.523.fc4d3e@exampl…$151.00United StatesEnglish
ADAlfonso Delapaz Pichardo8 days ago+34 600 19 25…alfonso.delapaz.pichardo.522.f…$288.00SpainSpanish
Jasmine Bos6 weeks ago+49 01510 00000…jasmine.bos.14@example.com$425.00GermanyGerman
ANArnaldo Nitzsche-Herman4 days ago+1 512 555 0156…arnaldo.nitzsche.herman.13@e…$562.00United StatesEnglish
NMNeopolo Murolo12 days ago+39 330 000 0…neopolo.murolo.520@example.…$699.00ItalyItalian
Célia Borgesa month ago+351 910 000…celia.borges.289@example.com$836.00PortugalPortuguese
Darcy Doyle2 months ago+1 512 555 0157…darcy.doyle.284@example.com$113.00United StatesEnglish
CDCalogera Di Stefano3 months ago+39 330 000 0…calogera.di.stefano.499@exam…$250.00ItalyItalian
Lorenz Schumm5 months ago+1 512 555 0158…lorenz.schumm.17@example.c…$387.00United StatesEnglish
LRLea Rogahn8 days ago+1 512 555 0159…lea.rogahn.18@example.com$524.00United StatesEnglish
New chat
Hi, Óscar. I went through your last 90 days. Repeat purchases are down 18%, and almost all of the drop is in the United States.
Show me who stopped buying there

Ask Iris anything...

Iris can make mistakes. Project data isn't used to train models.BETA

  • Levi's
  • PcComponentes
  • Tous
  • La Casa de las Carcasas
  • Nude Project
  • Siroko
  • HiStrips
  • Blue Banana
  • Gocco
  • Banak
  • GOI
  • Matcha Jeans
Levi'sPcComponentesTousLa Casa de las CarcasasNude ProjectSirokoHiStripsBlue BananaGoccoBanakGOIMatcha JeansMorrisonCold CultureEme StudiosBenefitLVMH1337 CorpRevelHillsZzen

Add contacts any
way you like.

Create contacts via API. Call the Product API from your stack and keep the audience in sync.

Upload a CSV. Import a spreadsheet and map its columns to your own fields, in minutes.

Add them by hand. Paste a list or add contacts one by one, right from the dashboard.

Ask your AI agent. Claude, ChatGPT or Cursor bring your data in over MCP.

See all agents
  • Claude
  • ChatGPT
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  • Hermes Agent
  • OpenClaw
  • Cursor
  • Codex
  • GitHub Copilot
  • Visual Studio Code
  • v0
  • Replit
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Work with Iris on
your customer data.

who bought twice this year?find customers inactive for 90 daysbuild a VIP segmentcompare two segmentswhich sources feed this contact?show me new subscribers this week
deduplicate my contactswho opened but never bought?customers by countrysegment by last order datewhich events do we track?tag high-value customers

It unifies your sources. Shopify, Klaviyo, Stripe: one profile per customer.

It builds segments. Describe the audience; you review the segment.

It reads your data. Who buys, who stopped, who is about to.

It spots the moments. Cart abandoned, order delivered, 90 days silent.

It keeps you compliant. Consent per channel, opt-outs and senders, checked before every send.

Everything you need
to make data move.

Customer 360°. History, sales and live activity, in one profile.

Activity history. Every view, sale and reply, in one timeline.

Duplicate removal. Identifiers keep your audience clean, automatically.

Visual segments. Drag and drop, no SQL, any combination.

Real-time insights. Audience and campaign metrics, updated live.

Custom fields and tags. A data model shaped like your business.

Frequently
asked questions

Where does the data come from?
From your own tools — Shopify, Klaviyo, n8n and the rest of the catalogue — unified into one profile per customer.
Do I need a developer to connect it?
The connectors are set up from the panel. Anything outside the catalogue goes through the API.
Do I need SQL to build a segment?
No. Describe the audience you want and Iris builds the segment; you review it before it is used.
How fresh is the behaviour data?
Events land in real time, so a cart abandoned a minute ago is already in the profile.

Describe the segment.
It builds itself from your data.

  • Merge my Shopify customers and Klaviyo profiles into one
  • Describe my audience: countries, channels and consent
  • Cross my buyers segment with my WhatsApp opt-ins
  • Which segments should a store like mine have?
  • How many contacts can I reach by SMS, RCS and WhatsApp?