Newtail

Marketing Analytics

Dataddo pulls the full Newtail metric and dimension set and delivers it wherever your team needs it - into AI tools and agents, straight to Looker Studio, Power BI, and Tableau, or into Snowflake, BigQuery, and your CRM and ad tools. Blend it with every other channel, 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 MARKETING SOURCE OF TRUTH

Turn Newtail into reporting your whole team trusts

Marketing data is only useful when it's complete, clean, and current. Dataddo extracts the full Newtail field set, governs it, and serves it to every dashboard, warehouse, and tool - continuously and without manual exports.

Every metric & dimension

Pull the full Newtail field set - not just a fixed preset - so your reports and models are never missing a metric or breakdown.

Blend across channels

Combine Newtail with your other paid, organic, CRM, and sales sources so cross-channel performance lives in one place.

Backfill full history

Load historical Newtail data beyond the platform's native retention window, so trends and year-over-year comparisons hold up.

Model & clean before load

Normalize currencies, time zones, and naming, and let the Data Quality Firewall stop bad rows before Newtail data reaches your reports.

Fresh on your schedule

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

Governed & monitored

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

DATASETS

What you can pull from Newtail

The Newtail connector provides a list of curated datasets - ready-made sets of metrics, dimensions, and attributes 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

activeactive

integer

ad_idad_id

string

ad_typead_type

string

advertiser_account_idadvertiser_account_id

string

advertiser_idadvertiser_id

string

advertiser_nameadvertiser_name

string

advertiser_tags_descriptionadvertiser_tags_description

string

advertiser_tags_idadvertiser_tags_id

string

advertiser_tags_labeladvertiser_tags_label

string

advertiser_tags_tag_idadvertiser_tags_tag_id

string

aidaid

integer

campaign_idcampaign_id

string

campaign_namecampaign_name

string

campaign_settings_budget_typecampaign_settings_budget_type

string

campaign_settings_cpccampaign_settings_cpc

integer

campaign_settings_cpmcampaign_settings_cpm

integer

campaign_settings_daily_budgetcampaign_settings_daily_budget

integer

campaign_settings_goalcampaign_settings_goal

string

campaign_statuscampaign_status

string

categoriescategories

string

conversions_quantityconversions_quantity

integer

created_atcreated_at

datetime

deleted_atdeleted_at

datetime

disabled_atdisabled_at

datetime

idid

string

image_urlimage_url

string

is_runningis_running

integer

metrics_adcostmetrics_adcost

float

metrics_avg_cpcmetrics_avg_cpc

float

metrics_avg_cpmmetrics_avg_cpm

float

metrics_clicksmetrics_clicks

integer

metrics_conversion_ratemetrics_conversion_rate

float

metrics_conversionsmetrics_conversions

integer

metrics_cpametrics_cpa

float

metrics_ctrmetrics_ctr

float

metrics_ecpmmetrics_ecpm

float

metrics_impressionsmetrics_impressions

integer

metrics_incomemetrics_income

float

metrics_roasmetrics_roas

float

metrics_total_conversions_items_quantitymetrics_total_conversions_items_quantity

integer

metrics_total_spentmetrics_total_spent

float

metrics_viewsmetrics_views

integer

namename

string

product_idproduct_id

string

product_skuproduct_sku

integer

publisher_account_idpublisher_account_id

string

publisher_idpublisher_id

string

publisher_namepublisher_name

string

settings_ad_cost_roundssettings_ad_cost_rounds

integer

settings_ad_sizesettings_ad_size

string

settings_alt_textsettings_alt_text

string

settings_cpcsettings_cpc

float

settings_cpmsettings_cpm

string

settings_destination_urls_efsettings_destination_urls_ef

string

settings_destination_urls_pmsettings_destination_urls_pm

string

settings_destinations_brandsettings_destinations_brand

string

settings_destinations_urlsettings_destinations_url

string

settings_media_urlsettings_media_url

string

settings_product_idsettings_product_id

string

settings_skusettings_sku

integer

settings_typesettings_type

string

statusstatus

string

status_weightstatus_weight

integer

updated_atupdated_at

datetime

urlurl

string

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 Newtail data flowing to every dashboard, warehouse, 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 Newtail keep flowing
Schema drift	Columns change and pipelines break or corrupt data silently.	Detected automatically and handled by configurable rules.	Only clean Newtail data lands in reports
Endpoint deprecated	You re-engineer the integration.	We own the update - the data contract holds.	Your Newtail reporting keeps working
Missing connector	You build and maintain a custom integration.	We build it and maintain it, under a ~4-week SLA.	Any Newtail metric 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 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 Newtail data is processed - same cloud, region, or sovereign

Newtail is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Newtail 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 Newtail data

Marketing data rarely has one home. Dataddo feeds Newtail into AI and agents, loads it into your warehouse for modeling, activates audiences back into ad 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 Newtail data into vector databases, LLMs, and AI agents so they can reason over your marketing data.	Claude OpenAI Gemini Mistral AI + 400 more	Load Newtail data into vector stores like Pinecone or Weaviate for retrieval-augmented generation, Give AI agents and copilots governed access to live Newtail metrics
ETL / ELT to your warehouse	Load Newtail metrics and dimensions into your warehouse for modeling and cross-channel analytics.	Snowflake BigQuery Amazon Redshift PostgreSQL + 400 more	Centralize Newtail alongside every other channel in Snowflake, BigQuery, or Redshift, Backfill Newtail history beyond the platform's native retention window
Activate audiences & conversions	Push segments and offline conversions built from Newtail data back into ad and CRM platforms.	Google Ads Meta HubSpot Salesforce + 400 more	Send modeled audiences from Newtail to ad platforms for targeting and suppression, Return offline or downstream conversions to optimize Newtail campaigns
Files to storage & partners	Deliver raw or modeled Newtail extracts to object storage and partners.	AWS S3 Google Cloud Storage Azure Blob Storage SFTP + 400 more	Archive raw Newtail exports to S3, GCS, or Azure storage, Send scheduled Newtail report extracts to clients over SFTP

Case Studies

See what data 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

Newtail as a source + Dataddo, answered

Where can I send Newtail data?

To any of Dataddo's 150+ destinations - BI dashboards like Looker Studio, Power BI, and Tableau, warehouses like Snowflake and BigQuery, CRMs, ad platforms, 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 Newtail 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 send Newtail data to a dashboard without a warehouse?

Yes. Dataddo can deliver Newtail data straight to Looker Studio, Power BI, or Tableau, so you can start reporting without standing up a warehouse first. When you're ready to model across channels, point the same pipeline at Snowflake, BigQuery, or Redshift - no rebuild.

What if Newtail changes their API?

That's on us, not you. Dataddo's team proactively tracks Newtail 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 Newtail data keeps flowing without you touching a thing.

Which Newtail metrics and dimensions are available?

The full Newtail API surface - every metric, dimension, and breakdown, 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 or sampling be a problem?

Dataddo handles Newtail pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within quota. Where the platform samples data, we fetch at the most granular level available to keep reports accurate.

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.