From manual to automated, how Power Digital is reclaiming hours lost to client reporting with Flaunt

THE CHALLENGE

Power Digital manages email marketing programs across a large and complex portfolio of clients, each with its own reporting cadence, attribution logic, and presentation format. For their team of lifecycle marketers, pulling a weekly, biweekly, or monthly performance report was never a simple task.

For some clients, the process required navigating deep into Klaviyo's campaign conversion data, manually grouping results by brand, and reconciling attribution against custom event configurations. Every report meant opening multiple tabs, exporting data, and stitching it together by hand. When performance declined, diagnosing why required even more manual work: cross-referencing flow metrics, campaign data, and audience trends to find the root cause.

The team had explored using Klaviyo's MCP server through ChatGPT, but found it slow and inconsistent, particularly for more complex queries. Accurate, fast, and repeatable reporting at scale remained out of reach.

THE SOLUTION

Power Digital began trialing Flaunt.ai across their team as a replacement for their manual reporting workflow. Rather than making live API calls like other tools, Flaunt operates as a data warehouse, storing granular event, profile, and performance data across every connected platform. That architecture makes it faster and capable of going deeper than real-time API tools.

In under a month, ten members of the Power Digital team activated the platform and began reshaping how they work.

The team configured Flaunt's reporting templates directly against their existing client report structures, using actual client decks as the foundation. Users like Miguel Ceballos and Isabella Sanchez built custom templates for their highest-priority accounts, enabling consistent, stakeholder-ready reports to be generated on demand. For clients with nuanced attribution setups, Flaunt was programmed with custom instructions specifying the correct conversion events and brand-level breakdown logic, removing the need for manual intervention on each pull.

Beyond reporting, the team quickly discovered a second layer of value: diagnostics and strategy. When Isabella noticed a significant year-over-year revenue decline for one of her clients, she used Flaunt to trace it back to its root cause in minutes, identifying a drop in flow recipients tied to paid media budget cuts. Lauren Lofe used the same diagnostic approach to pinpoint underperforming automation steps at the individual message level, turning a vague performance dip into a precise, actionable finding. Dennard Crawford took it further still, using historical click and revenue data to generate data-backed campaign concepts, testing whether emails featuring multiple products outperformed single-product sends, and identifying the optimal send days for revenue impact.

For Melissa Damas, Flaunt became a proactive planning tool. When her client set a Q1 revenue goal, she used Flaunt to track pacing in real time, identify gaps in email contribution, and recommend which promotional formats to prioritize based on historical performance. Felipe used it to architect a full nine-month content calendar for a luxury jewelry brand, built on a historical audit of top-converting themes, send cadence patterns, and subject line archetypes.

THE RESULTS

In less than one month, ten Power Digital team members generated 273 messages across 61 chats, with the platform being used for automated monthly reporting, year-over-year performance diagnostics, campaign ideation, and long-range strategic planning.

Reports that previously required hours of manual CSV exports and narrative writing now take ten to twenty minutes. For users like Andrea Jordan, it is even simpler: invoke a saved template with a date range and the report is done. For the team's most complex client accounts, Flaunt's ability to handle custom conversion events and brand-level segmentation is eliminating what were previously some of the most labor-intensive workflows in the agency.

Across active users, the estimated time savings on reporting alone runs to five to ten hours per user per month. For a team of ten, that is up to a hundred hours a month returned to higher-value work.