Stop Wasting Your Marketing Budget

Drawing from recent industry reports and benchmarks, here's the stark reality:

• Up to 25% of marketing budgets are wasted due to unreliable signals, disconnected tools, and "phantom" metrics that make weak programs appear strong, forcing teams to over-rely on guesswork. Source

  
  

• Without proper attribution models, companies commonly misallocate 30% of their budgets, continuing to fund ineffective channels while underinvesting in high-performers. Source

  
  

• Around 23% of online ad spend (about $20 billion annually) is lost to poor attribution, high costs, and missing data, even making solid campaigns look like failures. Source

  
  

• Small and mid-sized businesses waste up to 60% of their budgets on poor targeting, lack of tracking, or misalignment, with 34% of marketers rarely or never measuring ROI at all. Source

  
  

• In B2B contexts, 73% of companies struggle to link channel activities to revenue, leading to an average annual waste of $847,000 on tactics that generate vanity metrics but no real growth. Source

  
  

• Overall, 30-40% of agency-managed budgets are squandered on ineffective campaigns, unnecessary markups, and untested services that fail to drive results. Source

These aren’t abstract numbers. They represent real dollars disappearing into fragmented data and incomplete views of user behavior.

For example, you might split budget evenly between social ads and email nurtures, only to discover later that email drives 35% of repeat purchases while social contributes just 12%.

The issue isn’t the channel. It’s that the sequence of user actions was invisible.

How teams reduce this waste

Teams that consistently reclaim budget don’t just ask which channel converted. They ask:

• What did users do before converting?

• Where did high-intent users hesitate or drop off?

• Which combinations of actions actually signal intent?

That requires sequential analytics and true multi-touch attribution, not isolated dashboards.

The blind spot most tools leave behind

Most analytics tools show outcomes. They don’t show behavior in order.This is exactly the gap we’re addressing at Zinzu.

By reconstructing full user behavior sequences directly from raw data (like GA4 events), teams can see:

• Where intent builds or breaks

• Which steps correlate with conversion

• Which investments quietly drain budget

No SQL. No predefined funnels. Just behavior, in order.

The real shift: from dashboards to decisions

The biggest change isn’t better charts. It’s moving from static dashboards to behavior-first questions.

When teams can explore data as naturally as they think, they stop defending spend and start deciding with confidence.

If this sounds familiar

If you suspect part of your budget is disappearing into a black hole, you’re probably right.

We’re working with teams who want to see what users actually did, in order, before making their next spend decision.

If that resonates, DM me or reach out at team@zinzu.io. Happy to share what we’re seeing across real datasets.