B2B marketing funnels generate more data than any team can track. Marcenta surfaces meaningful performance shifts early, before they become larger pipeline problems.
Your team should not have to check every dashboard, channel, and metric every day just to know if the funnel is healthy.
Catch regressions and unusual movement early enough to prevent wasted budget and last-minute reporting surprises.
When something moves, know which campaign or ad group caused the change so you can go straight to remediation.
Always-on monitoring
Marcenta learns normal behavior automatically, without manual rules or thresholds. Connect your data sources and start monitoring.
Monitor the right funnel metrics that impact spend and pipeline.
No hard thresholds. Baselines get computed on a daily basis to keep thresholds fluid and accurate.
Filter routine volatility and duplicate signals so your team can focus on incidents that are unusual, consequential, and worth investigating.
Observed
174
Baseline
224
Change
−22.3%
Duration
2 days
Source
Search Console
Metric
Clicks
Segment
All traffic
Grain
Daily
Daily clicks · Jul 10–23
Act fast
Once an incident is detected, Marcenta keeps watching it, updating the investigation, and surfacing what changed next so your team does not have to babysit every issue manually.
Marcenta keeps checking the incident against fresh source data so your team can see whether the issue is recovering, holding, or getting worse.
Lower-severity incidents can be monitored automatically until they resolve or escalate, so your team only steps in when attention is actually needed.
Marcenta AI can continue the investigation, answer follow-up questions, and recommend next steps as new evidence comes in.
Search clicks incident · All traffic
Incident detected: Clicks dropped 22.3%
Jul 22, 2026 · monitoring started
Marcenta Agent assessed the incident
Jul 22, 2026 · first check
Recovery confirmed
Jul 24, 2026 · automatically resolved
Features
Bring campaign, analytics, CRM, call, and revenue data into one monitoring layer.
Build adaptive baselines from your own historical patterns instead of static thresholds.
Separate consequential shifts from routine volatility across the funnel.
Pull related metrics, segment shifts, and historical context into every incident.
Turn the evidence into clear actions your team can review or route into a workflow.
Recheck open incidents automatically and resolve or escalate them as the data changes.
Connected context
Marcenta connects campaign, analytics, CRM, call, and revenue data so every incident is grounded in full-funnel context.
Yes. Modern marketing teams manage too many channels, campaigns, and metrics to rely on dashboards and manual reporting alone. Marcenta automatically surfaces meaningful changes in your data so your team can act before the impact compounds.
Marcenta compares fresh performance against statistical baselines built from your own historical data. Incidents are created when movement is genuinely abnormal for your funnel, not when it crosses an arbitrary threshold.
No. Marcenta automatically monitors significant metrics across your connected sources. The system learns what normal looks like for your funnel and surfaces meaningful deviations without manual rule setup.
Marcenta investigates it automatically by pulling channel breakdowns, correlated metrics, segment splits, and recent history. Likely causes and recommended next steps are ready when your team opens the incident.
Not always. Lower-severity incidents can continue to be monitored automatically until they recover or escalate, while high-severity incidents are routed to your team with the investigation already attached.
Marcenta supports core go-to-market data sources across analytics, ads, CRM, and revenue workflows, with additional sources continuing to roll out.
Detection runs against fresh source data on a recurring basis. Most incidents are created as soon as the underlying source data is available, subject to each platform's reporting delay.
You usually do not need to. Marcenta builds adaptive thresholds from your own historical data, so detection adjusts to your normal patterns without constant manual tuning.
Yes. Marcenta monitors connected sources in parallel and correlates signals across them, so a change in one part of the funnel is interpreted in the context of what else moved around it.