Tixly

E-commerce

Dataddo extracts the full Tixly data set - orders, customers, products, carts, payments - and delivers it wherever your team needs it: into AI tools and agents, your warehouse like Snowflake and BigQuery, BI dashboards, and back into your marketing and CRM tools. Blend it with ad, CRM, and finance data, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.

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YOUR STORE SOURCE OF TRUTH

Turn Tixly into store reporting your whole team trusts

E-commerce data is only useful when it's complete, clean, and current. Dataddo extracts the full Tixly data model, governs it, and serves it to every warehouse, dashboard, AI tool, and downstream system - continuously and without manual exports.

Every order & field

Pull the full Tixly data model - orders, line items, customers, products, refunds - not just a fixed preset, so your store reports are never missing a field.

Blend with ads, CRM & finance

Combine Tixly with your advertising, CRM, and finance sources so full-funnel and unit-economics analytics live in one place.

Backfill full history

Load historical Tixly data beyond the platform's export limits, so cohort, LTV, and seasonality analysis holds up.

Model & clean before load

Normalize currencies, SKUs, and tax, and let the Data Quality Firewall stop bad rows before Tixly data reaches your reports.

Fresh on your schedule

Incremental, scheduled syncs keep Tixly data current - as often as hourly - without manual exports or full reloads.

Governed & monitored

Delivery alerts and quality checks catch gaps in Tixly data early, so revenue dashboards never silently break.

DATASETS

What you can pull from Tixly

The Tixly connector provides a list of curated datasets - ready-made sets of orders, customers, products, and metrics you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.

List of curated datasets

External Reference NumberExternalReferenceNumber

string

Event Group IdEventGroupId

integer

NameName

string

Sub TitleSubTitle

string

DescriptionDescription

string

OrganisationOrganisation

string

Heading Text OnlineHeadingTextOnline

string

Note Text OnlineNoteTextOnline

string

Image Cache KeyImageCacheKey

integer

Event Image PathEventImagePath

string

Has Event ImageHasEventImage

integer

Featured Image PathFeaturedImagePath

string

Has Featured ImageHasFeaturedImage

integer

Poster Image PathPosterImagePath

string

Has Poster ImageHasPosterImage

integer

Logo Image PathLogoImagePath

string

Has Logo ImageHasLogoImage

integer

External URLExternalUrl

string

Is FilmIsFilm

integer

Is Queue ActiveIsQueueActive

integer

Queue URLQueueUrl

string

Dates Event IdDatesEventId

integer

Dates Default Event Group IdDatesDefaultEventGroupId

float

Dates NameDatesName

string

Dates TitleDatesTitle

string

Dates Sub TitleDatesSubTitle

string

Dates OrganisationDatesOrganisation

string

Dates SeasonDatesSeason

string

Dates Min Tickets OnlineDatesMinTicketsOnline

integer

Dates Max Tickets OnlineDatesMaxTicketsOnline

integer

Dates Special NoteDatesSpecialNote

string

Dates Start DateDatesStartDate

datetime

Dates Start Date UTC UnixDatesStartDateUTCUnix

integer

Dates End DateDatesEndDate

datetime

Dates End Date UTC UnixDatesEndDateUTCUnix

integer

Dates Waiting ListDatesWaitingList

integer

Dates Is Free EventDatesIsFreeEvent

integer

Dates Online Sale StartDatesOnlineSaleStart

datetime

Dates Online Sale Start UTC UnixDatesOnlineSaleStartUTCUnix

integer

Dates Online Sale EndDatesOnlineSaleEnd

datetime

Dates Online Sale End UTC UnixDatesOnlineSaleEndUTCUnix

integer

Dates VenueDatesVenue

string

Dates HallDatesHall

string

Dates PromoterDatesPromoter

string

Dates Sold OutDatesSoldOut

integer

Dates DurationDatesDuration

string

Dates Sale StatusDatesSaleStatus

integer

Dates Sale Status TextDatesSaleStatusText

string

Dates CapacityDatesCapacity

integer

Dates RemainingDatesRemaining

integer

Dates Min PriceDatesMinPrice

float

Dates Max PriceDatesMaxPrice

float

Ticket TypeTicketType

string

QuotaQuota

string

SoldSold

integer

ReservedReserved

integer

RemainingRemaining

integer

Quantity RuleQuantityRule

integer

Active FromActiveFrom

datetime

Active From Utc UnixActiveFromUTCUnix

integer

Active ToActiveTo

datetime

Active To Utc UnixActiveToUTCUnix

integer

Price ZonePriceZone

string

Price Zone IdPriceZoneID

integer

PricePrice

float

TagsTags

string

Dates Online Reservation AllowedDatesOnlineReservationAllowed

integer

Need a dataset, metric, or attribute you don't see?

Tell us what's missing and we'll add it to the connector.

Request it

WITH VS. WITHOUT

Who carries the load when things change

Keep Tixly data flowing to every warehouse, dashboard, and tool - and see who owns it when an API or schema changes:

	Without Dataddo	With Dataddo	Outcome for you
API or auth change	You discover the breakage and scramble to fix it.	We update the connector and restore the pipeline - often before you notice.	Syncs from Tixly keep flowing
Schema drift	Columns change and pipelines break or corrupt data silently.	Detected automatically and handled by configurable rules.	Only clean Tixly data lands in reports
Endpoint deprecated	You re-engineer the integration.	We own the update - the data contract holds.	Your Tixly reporting keeps working
Missing connector	You build and maintain a custom integration.	We build it and maintain it, under a ~4-week SLA.	Any Tixly field you need, on request
Silent degradation	You find out when a report or model run fails.	Proactive monitoring catches anomalies and delays first.	Gaps caught before revenue dashboards break
Debugging	You dig through logs across disconnected tools.	Run histories, payload inspection, and end-to-end lineage in one place.	Faster root-cause, fewer reporting gaps

Data residency by design

Choose where Tixly data is processed - same cloud, region, or sovereign

Tixly is a cloud API, so the question isn't on-prem vs cloud - it's which region your store and customer data flows through. With Dataddo you run the data plane in the region you choose, so Tixly payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.

Data Plane location	Typical data sensitivity	Why this setup
Public cloud AWS Microsoft Azure Google Cloud	Low to moderate - general business, marketing, and product data; sources that are already cloud-native.	Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud.
Regional & EU sovereign clouds EU sovereign clouds Regional providers Private cloud	Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law.	Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure.
On-premises Kubernetes Red Hat OpenShift VMware Tanzu	Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter.	Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only.

DATA DELIVERY

Every way to deliver Tixly data

E-commerce data rarely has one home. Dataddo feeds Tixly into AI and agents, loads it into your warehouse for revenue and cohort analytics, activates audiences back into marketing and CRM tools, and delivers files to storage - all governed the same way.

Transport type	What it does	Typical destinations	Typical business use cases
Data to AI™ & Agents	Feed Tixly data into vector databases, LLMs, and AI agents so shopping assistants and copilots can reason over your store.	Claude OpenAI Gemini Mistral AI + 400 more	Load Tixly products and orders into vector stores for retrieval-augmented shopping assistants, Give AI agents and copilots governed access to live Tixly store data
ETL / ELT to your warehouse	Load Tixly orders and metrics into your warehouse for revenue and cohort analytics.	Snowflake BigQuery Amazon Redshift PostgreSQL + 400 more	Centralize Tixly alongside ad and CRM data in Snowflake, BigQuery, or Redshift, Backfill Tixly history for LTV and cohort analysis
Activate audiences & retention	Push segments and modeled audiences built from Tixly data back into marketing and CRM platforms.	Klaviyo Meta Google Ads HubSpot + 400 more	Sync high-value or at-risk customer segments from Tixly to ad and email platforms, Return modeled audiences to drive retention and win-back campaigns
Files to storage & partners	Deliver raw or modeled Tixly extracts to object storage and partners.	AWS S3 Google Cloud Storage Azure Blob Storage SFTP + 400 more	Archive raw Tixly exports to S3, GCS, or Azure storage, Send scheduled Tixly extracts to partners or 3PLs over SFTP

Case Studies

See what commerce teams build with Dataddo

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

Beauty & Consumer Goods

How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

Entertainment

How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

Entertainment

How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

Healthcare

How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

Marketing

How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

Advertising

FAQ

Tixly as a source + Dataddo, answered

Where can I send Tixly data?

To any of Dataddo's 150+ destinations - warehouses like Snowflake and BigQuery, BI dashboards, marketing and CRM tools, object storage, and AI or vector stores - plus custom destinations on request.

Do I have to maintain the pipeline?

No. Dataddo is fully managed: we maintain the Tixly connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.

Can I analyze customer lifetime value across my store data?

Yes. Dataddo loads full Tixly order and customer history into Snowflake, BigQuery, or Redshift, blended with your ad and CRM data, so LTV, cohort, and retention analysis works without manual exports.

What if Tixly changes their API?

That's on us, not you. Dataddo's team proactively tracks Tixly API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Tixly data keeps flowing without you touching a thing.

Which Tixly data and fields are available?

The full Tixly data model - orders, line items, customers, products, refunds - not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.

How is my data secured?

Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.

Will API rate limits be a problem?

Dataddo handles Tixly pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within API quotas without impacting your store.

Am I locked in?

No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.