The modern marketing stack is standard: ad platforms, analytics, attribution, CRMs, data warehouses, and 10+ add-ons. It's the worst and defines growth as doing the same thing more often.
A marketing agency managing 31 clients (plus internal accounts) was burning 29+ hours every week on client reporting and campaign setup, not for lack of tools but due to technical and operational debt between them.
Those 29 hours trapped the team in execution mode.
The Team's Workflow
Even with data pipelines and pre-existing automation in place, here's where the time went:
- Monitor and validate data flowing from Meta, Google, TikTok, GA4.
- Transform and reconcile data for client-specific reporting needs
- QA the reports, add commentary and insights
- Customize presentations for each client's KPIs
- Set up campaigns with platform-specific requirements and naming conventions
The data might flow automatically, but turning into reports and action items is manual. Cross-channel launches meant translating the plan into Meta ad sets, Google ad groups, and TikTok ad groups—each with its own objectives, budgets, and naming. It's a limiting factor with a massive opportunity cost.
Even if you're using Tableau or another BI tool hooked up to your data, that breaks whether you know it or not—and no offense, but you or your team generally take way too long to figure it out.
Hyper: Native Integration, Not Another Dashboard
Instead of adding another tool to the stack, Hyper's agents work directly with the existing infrastructure. They don't replace your tools—they connect them.
How It Actually Works
The marketing team now runs two core workflows through Hyper:
Unified Reporting: Hyper pulls data directly from each platform's API, maintains consistent entity mapping across systems, and preserves the full context chain from impression to conversion. No more CSV exports. No more VLOOKUP nightmares. The same report that took 8 hours to compile now generates on a set schedule with full lineage tracking.
Campaign Orchestration: Define a campaign once. Hyper's agents translate it into each platform's specific requirements and deploy simultaneously. But more importantly, they maintain the connective tissue—ensuring campaign IDs, UTM parameters, and attribution tags stay consistent across every system.
The Shift from Coordination to Strategy
With Hyper handling the infrastructure coordination, the team's work fundamentally changed:
Before Hyper:
- Skilled marketers trapped in orchestration — reconciling data, maintaining pipelines, rebuilding campaigns across platforms
- Reporting consumed most of the week — manual QA, formatting, and commentary
- Campaign setup required constant checks for naming conventions, IDs, and attribution consistency
- Most insights were reactive, surfacing only after data cleanup was done
After Hyper:
- Hyper automates data coordination and campaign deployment across every ad platform
- Reporting runs itself — consistent, scheduled, and fully traceable
- Teams now focus on testing hypotheses and scaling what works, not maintaining infrastructure
- Marketing shifted from reactive execution to proactive experimentation and optimization
Same team. Same clients. Completely different leverage.
Beyond Time Savings
The 29 hours saved weekly is the obvious win. The non-obvious wins matter more:
Data Trust: When every number traces back to its source, teams stop debating data accuracy and start debating strategy.
Experiment Velocity (my personal favorite): The time to set up and launch a new campaign dropped from ~45 minutes to 1 minute. The team now runs 10x more experiments with the same resources. (As I write this, they have 400+ active experiments running simultaneously across all platforms.)
Context Preservation: Every decision, every change, every insight stays connected to its origin. Six months later, you can trace why a campaign succeeded.
Proactive Optimization: Agents continuously monitor KPIs, run predictive models on campaign trajectories, and surface actionable recommendations. On top of automating retrospective analysis and reports, the team now gets daily briefs (straight into their email inbox and slack) on what to optimize—with agents ready to execute approved changes automatically.
The Competitive Reality
Your competitors are still exporting CSVs. Still rebuilding campaigns platform by platform. Still losing context at every handoff.
Meanwhile, you're running synchronized experiments across all channels before they've finished their Monday report.
This isn't about working harder or hiring more people. It's about fixing the infrastructure problem that every marketing team faces but few address directly.
Build Your Connected Infrastructure
Hyper works with your existing stack:
Ad Platforms: Meta, Google, TikTok, LinkedIn, Amazon
Analytics: GA4, Mixpanel, Amplitude, Adobe
Data: Snowflake, BigQuery, Databricks, Redshift
Attribution: Northbeam, Triple Whale, Rockerbox
Setup is instant with one-click integrations. Build your first workflow in under 5 minutes and start capturing value immediately.
Hyper doesn't add another tool to your stack. It makes your existing tools work together. See how marketing teams are reclaiming 30+ hours per week while actually improving their data quality.