Supermetrics
Marketing data analysis
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
- 15+ hours/month saved per marketer
- Weekly reporting automated (saving 4 hours)
Clients struggled with tedious manual setups. Gemini now auto-fills forms in 300ms and guides complex analysis like a human expert.
A data-driven digital marketing agency sought to transform its internal, consultant-led analytics tools into a scalable SaaS platform accessible to clients of all sizes.
Removing human experts from the loop created a critical knowledge gap, as clients struggled to interpret complex data or navigate tedious manual...
“But we hit so many scaling limitations with our existing provider that we couldn't keep going.”
Precis Digital's Self-service marketing analytics is part of this use case:
Digital marketing agency for media, data, analytics, and creative strategy.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Clients struggled with tedious manual setups. Gemini now auto-fills forms in 300ms and guides complex analysis like a human expert.
A data-driven digital marketing agency sought to transform its internal, consultant-led analytics tools into a scalable SaaS platform accessible to clients of all sizes.
Removing human experts from the loop created a critical knowledge gap, as clients struggled to interpret complex data or navigate tedious manual...
“But we hit so many scaling limitations with our existing provider that we couldn't keep going.”
Precis Digital's Self-service marketing analytics is part of this use case:
Digital marketing agency for media, data, analytics, and creative strategy.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Marketers lost four hours a week to manual data prep. Today, AI agents automate reporting and flag performance issues instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.