For agencies and brands
Trust every number you share
Naming, feeds and definitions checked before a number reaches a client or the board, with the cost of each issue and the fix ready.
Is anything off before Thursday's client reviews?
Answered with Adverity Atlas
Two things. 312 campaigns for one client break its naming convention, leaving $84k of spend outside its brand totals. Another client's TikTok feed paused on Tuesday. Fixes are ready for both.
- Your naming rules
- Spend affected shown
- Checked before the review
- Fix ready
Do all our markets count search spend the same way?
Answered with Adverity Atlas
Not yet. France and Spain record search spend net of fees while other markets record it gross, which lifts their return by about 6%. Aligning them takes one rule change, ready for your approval.
- One definition across markets
- Effect on return shown
- Every source traced
- Fix ready
The goal
Send every client report knowing each number is right
Naming, feeds and definitions checked across every client, before anything is shared.
Report one set of numbers every market stands behind
The same definitions in every market, and issues settled before they reach the board.
What you can do
Confidence in every number, before it’s shared
See what each issue is worth
Every issue shown with the spend and reports it affects, so the biggest is fixed first.
Your conventions on every launch
Naming and taxonomy checked as campaigns go live.
Feeds that report on themselves
A stream that pauses or arrives short is flagged with what it affects.
One meaning for every metric
The same definition in every market, client and report.
Use cases
What your team can do
The checks behind numbers you can share with confidence.
- 01
Which campaigns need a naming fix?
Every exception found, ranked by spend
- 02
Which feeds need attention today?
Feed health, with the reports affected
- 03
What should we fix before Thursday’s client reviews?
A pre-review check for every client
- 03
Do all markets count revenue the same way?
Definitions compared across markets
- 04
What changed in this source’s fields?
Field and mapping changes logged as they happen
- 05
Who changed access to this dataset?
Access changes on record
How it works
How every number gets checked
Step 1
Capture your standards
Naming conventions, definitions and the checks your team runs by hand, captured in Adverity Atlas.
Step 2
Check every source
Adverity Connect watches each feed, and Adverity Atlas checks the numbers against your standards.
Step 3
Fix what matters first
Issues ranked by the spend and reports they affect, each with a suggested fix.
Results
Teams sharing numbers they trust
A central platform took over manual consolidation.
Brand · Read the storyOne source of truth, and more confidence in client insights.
Agency · Read the storyConsistent numbers for every team, with high data quality kept centrally.
Brand · Read the story
Onetool for every client’s dataData trusted first time, and more value for clients.
Agency · Read the storyFaster time to high-quality insights for decisions.
Brand · Read the storyAdverity has allowed our analysts to spend time on what they do best, analyzing and generating insights instead of manual data wrangling
With Adverity we save valuable time, which we can dedicate to other areas with a higher impact on our business goals, instead of manually consolidating data from different sources to get a holistic view.
Can it check our existing naming convention?
Yes. Describe your convention once, and every campaign is checked against it.
Does it fix issues by itself?
It suggests each fix and applies it once you approve, so a person stays in control.
Can we start before our data is clean?
Yes. It works on the data you have today and shows where it’s least reliable, so confidence grows as issues are fixed.
Can each client have its own rules?
Yes. Each client keeps its own conventions and definitions.
Can each market keep local fields?
Yes. Local detail stays, and the shared definitions sit on top so markets compare like for like.
Share every number with confidence
Run one check on your own data and see what to fix first.