Send Brandwatch Data Anywhere

Brandwatch

Marketing Analytics

Dataddo pulls the full Brandwatch 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 Brandwatch into reporting your whole team trusts

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

Every metric & dimension

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

Blend across channels

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

Backfill full history

Load historical Brandwatch 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 Brandwatch data reaches your reports.

Fresh on your schedule

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

Governed & monitored

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

DATASETS

What you can pull from Brandwatch

The Brandwatch 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

Account TypeaccountType

string

Addedadded

datetime

Assignmentassignment

string

Authorauthor

sensitivestring

Author Verified TypeauthorVerifiedType

string

Avatar UrlavatarUrl

sensitivestring

Blog NameblogName

string

Categoriescategories

string

Parent NameparentName

string

Namename

string

Checkedchecked

string

Citycity

string

City CodecityCode

string

Classifications Classifier Idclassifications_classifierId

string

Classifications Label Idclassifications_labelId

string

Classifications Nameclassifications_name

string

Classifications Confidenceclassifications_confidence

string

Continentcontinent

string

Continent CodecontinentCode

string

Copyrightcopyright

string

Countrycountry

string

Country CodecountryCode

string

Datedate

datetime

Display UrlsdisplayUrls

string

Domaindomain

string

Entity Info Entity IdentityInfo_entityId

string

Entity Info Entity ConfidenceentityInfo_entityConfidence

string

Entity Info UrlentityInfo_url

string

Expanded UrlsexpandedUrls

string

Facebook Author IdfacebookAuthorId

string

Facebook CommentsfacebookComments

string

Facebook LikesfacebookLikes

string

Facebook RolefacebookRole

string

Facebook SharesfacebookShares

string

Facebook SubtypefacebookSubtype

string

Fullnamefullname

sensitivestring

Gendergender

sensitivestring

Guidguid

string

Impactimpact

string

Importance AmplificationimportanceAmplification

string

Importance ReachimportanceReach

string

Impressionsimpressions

float

Insights HashtaginsightsHashtag

string

Insights MentionedinsightsMentioned

string

Instagram Comment CountinstagramCommentCount

string

Instagram Follower CountinstagramFollowerCount

string

Instagram Following CountinstagramFollowingCount

string

Instagram Interactions CountinstagramInteractionsCount

string

Instagram Like CountinstagramLikeCount

string

Instagram Post CountinstagramPostCount

string

Interestinterest

string

Item ReviewitemReview

string

Languagelanguage

string

Last Assignment DatelastAssignmentDate

string

Latitudelatitude

sensitivestring

Linkedin CommentslinkedinComments

string

Linkedin EngagementlinkedinEngagement

string

Linkedin ImpressionslinkedinImpressions

string

Linkedin LikeslinkedinLikes

string

Linkedin ShareslinkedinShares

string

Linkedin SponsoredlinkedinSponsored

string

Linkedin Video ViewslinkedinVideoViews

string

Location NamelocationName

string

Longitudelongitude

sensitivestring

Media FiltermediaFilter

string

Media UrlsmediaUrls

string

Monthly VisitorsmonthlyVisitors

float

Original UrloriginalUrl

string

Page Type NamepageTypeName

string

Parent Post IdparentPostId

string

Parent Blog NameparentBlogName

string

Prioritypriority

string

Professionprofession

string

Job TitlejobTitle

string

Pub TypepubType

string

Publisher Sub TypepublisherSubType

string

Query IdqueryId

string

Query NamequeryName

string

Ratingrating

float

Reach EstimatereachEstimate

string

Reddit Author KarmaredditAuthorKarma

string

Reddit Author Awardee KarmaredditAuthorAwardeeKarma

string

Reddit Author Awarder KarmaredditAuthorAwarderKarma

string

Reddit CommentsredditComments

string

Reddit ScoreredditScore

string

Reddit Score Upvote RatioredditScoreUpvoteRatio

string

Regionregion

string

Region CoderegionCode

string

Reply ToreplyTo

string

Resource IdresourceId

string

Retweet OfretweetOf

string

Root Post IdrootPostId

string

Root Blog NamerootBlogName

string

Sentimentsentiment

string

Short UrlsshortUrls

string

Full TextfullText

string

Starredstarred

string

Statusstatus

string

Subredditsubreddit

string

Subreddit SubscriberssubredditSubscribers

string

Subtypesubtype

string

Tagstags

string

Thread AuthorthreadAuthor

string

Thread CreatedthreadCreated

string

Thread Entry TypethreadEntryType

string

Thread IdthreadId

string

Thread UrlthreadURL

string

Titletitle

string

Twitter Author IdtwitterAuthorId

string

Twitter FollowerstwitterFollowers

string

Twitter FollowingtwitterFollowing

string

Twitter Like CounttwitterLikeCount

string

Twitter Post CounttwitterPostCount

string

Twitter Reply CounttwitterReplyCount

string

Twitter RetweetstwitterRetweets

string

Twitter RoletwitterRole

string

Twitter VerifiedtwitterVerified

string

Updatedupdated

datetime

Urlurl

string

Weblog TitleweblogTitle

string

Start DatestartDate

datetime

End DateendDate

datetime

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

Brandwatch 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 Brandwatch 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 Brandwatch data

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

Brandwatch as a source + Dataddo, answered

Where can I send Brandwatch 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 Brandwatch 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 Brandwatch data to a dashboard without a warehouse?

Yes. Dataddo can deliver Brandwatch 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 Brandwatch changes their API?

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

Which Brandwatch metrics and dimensions are available?

The full Brandwatch 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 Brandwatch 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.