Vega · Media intelligence
Your data shows what happened.
Vega helps you understand what deserves attention.
Vega analyzes signals from the media operation to find changes, patterns, risks and opportunities that can go unnoticed in daily monitoring.
Thousands of data points
- Campaigns
- Ads
- Creatives
- Costs
- Conversions
- Periods
Vega
3 points to investigate
Few signals. More focus for analysis.
The starting point
Having the data doesn't mean knowing where to look.
A media operation can have dozens of campaigns, hundreds of ads and thousands of metric variations over time.
Finding what really changed requires comparing context, history and behavior — not just looking at isolated numbers.
Operations
- 47 campaigns
- 186 ads
- 32 creatives
- 12 metrics
- 90 days of history
Vega
Attention
3 signals found
Context
CPA went up 18%. So what?
CPA
+18%
This could be...
- Natural variation
- Creative fatigue
- Change in investment
- Drop in conversion
- Seasonality
- Change in campaign mix
- External change
The number shows the change. Diagnosis begins when we try to understand the context.
Radar
Some signals are easy to see. Others appear when the data is connected.
Creative fatigue
- Frequency rises
- CTR drops
- CPA starts to rise
→ Possible creative wear
Seasonality
- Performance changes
- A similar pattern appears in the history
→ Possible seasonal effect
Performance change
- Cost rises
- Conversion drops
- Distribution shifts
→ Point to investigate
Opportunity
- A segment grows
- A creative stands out
- A campaign gains efficiency
→ Opportunity to explore
From signal to investigation
A change rarely happens on its own.
Conceptual example
Week 1
- CPA
- R$ 42
- CTR
- 1,8%
- Frequency
- 2,1
Week 2
- CPA
- R$ 44
- CTR
- 1,7%
- Frequency
- 2,6
Week 3
- CPA
- R$ 51
- CTR
- 1,3%
- Frequency
- 3,4
Vega identifies
Progressive CTR decline along with rising frequency and CPA.
Hypothesis to investigate
Possible creative fatigue.
Next action
Review the most exposed creatives and compare new variations.
Fact → pattern → hypothesis → action
Prioritization
You don't need to investigate everything. You need to know what to investigate first.
Before
- Dashboard
- Dashboard
- Dashboard
- Spreadsheet
- Platform
- Report
Where do I start?
With Vega
- 01Creative shows signs of fatigue
- 02CPA changed beyond recent behavior
- 03Campaign gained efficiency after budget reallocation
Start here.
Beyond media
Not everything that changes performance happened inside the campaign.
Dates, seasonality, market, search behavior and external events can also help explain changes in the operation.
- Media data
- History
- Seasonality
- External signals
Vega
Context for analysis
Vega can enrich the analysis with relevant external signals, without assuming every factor is identified automatically.
The difference
A dashboard organizes information.
Vega looks for what deserves attention.
Dashboard
- Shows metrics
- Organizes data
- Lets you follow
Vega
- Compares behavior
- Identifies signals
- Points out changes
- Raises hypotheses
- Prioritizes investigation
One helps you follow. The other helps you investigate.
Data + intelligence
BeeMetrics shows. Vega investigates.
While BeeMetrics organizes how results are read, Vega looks for patterns and signals that may require deeper analysis.
BeeMetrics
Visibility
Vega
Diagnosis
Operations
Decision
Applied intelligence
AI to expand analysis, not to replace decisions.
Vega uses technology to process more information, compare behavior and find signals at scale.
Vega finds
- Signals
- Patterns
- Changes
- Hypotheses
People evaluate
- Context
- Business
- Priority
- Decision
Decisions still need context.
When to use it
The bigger the operation, the harder it is to notice everything that changed.
I have too many campaigns to keep track of.
I know performance changed, but I don't know why.
I want to catch problems before they grow.
I struggle to identify creative fatigue.
I want to understand patterns over time.
I need to prioritize where my team should investigate.
Learn to optimize
Vega helps turn what happened into the next decision.
- Result
- Analysis
- Learning
- Next decision
Next step
Lots of data and little clarity about where to act?
Tell us how your media operation works today. The first conversation starts by understanding where analysis is getting stuck.
- We reply within 1 business day.
- And if we conclude that Vega isn't the right fit for your case, we will tell you.