By Mac (Mohammed Ali Chherawalla), Co-founder, Wednesday Solutions
Your marketing ops lead starts Monday with last week's campaign performance already compiled — every channel, every segment, every creative variant, benchmarked against the previous four weeks. The underperforming campaigns are flagged with the likely reason. The budget reallocation recommendation is there. The deck for the Tuesday review built itself.
That's AI-powered campaign reporting in a marketing ops team. The reporting function stops being a production exercise and starts being an insight delivery system.
Most marketing ops teams spend a significant part of their week building the reports that show last week's results. Channel data pulled from multiple platforms. Metrics calculated in spreadsheets. Charts formatted for the deck. The analysis layer — why did this happen, what should we do — gets 20 minutes at the end of a 3-hour build. The team's analytical capacity is spent on assembly, not on thinking.
The data exists across your platforms. The aggregation and analysis are what need to be automated.
The 5-stage ladder
Stage 1: Manual reporting. Ops team pulls data from Google Ads, Meta, email, CRM. Assembles in a spreadsheet. Builds charts. Distributes by email. Takes most of Monday.
Stage 2: Dashboard automation. Data pipelines feed a live dashboard. The ops team monitors instead of building. Reports are current without manual pulls. Time savings are real.
Stage 3: Automated performance analysis. The system identifies anomalies — campaigns outperforming or underperforming against benchmarks — and surfaces them automatically. The ops team reviews signals rather than scanning dashboards.
Stage 4: Attribution modeling. Multi-touch attribution across channels calculated automatically. The team sees which combination of touchpoints drives conversion, not just last-click. Budget allocation decisions become data-driven rather than channel-politics-driven.
Stage 5: Prescriptive recommendations. The system recommends specific budget reallocations based on performance data and forward-looking demand signals. The ops lead validates and implements rather than starting from a blank analysis.
What each stage unlocks
Stage 3 recovers the time spent on dashboard monitoring. Automated anomaly detection surfaces what matters without requiring someone to stare at charts.
Stage 4 changes how channel budget decisions are made. Attribution clarity reduces the "social vs. search" arguments that consume planning cycles.
Stage 5 turns the marketing ops function into a revenue optimization function. Prescriptive recommendations mean the team acts faster on the signals that matter.
Wednesday Solutions and marketing ops
Wednesday Solutions built the product and data platform for Cohesyve, an AI-powered decision-making software for online brands, and worked with Spotwriters on marketplace platform engineering. Wednesday has also built campaign-adjacent product features for BetU and Rapido. Campaign reporting automation requires multi-source data pipelines, analytics modeling, and a reporting layer the marketing team can configure without engineering tickets.
Arpit Bansal, Co-Founder & CEO at Cohesyve:
"They delivered the project within a short period of time and met all our expectations. They've developed a deep sense of caring and curiosity within the team."
Where to start with Wednesday
Two-week fixed-price sprint. Wednesday maps your current channel stack, reporting workflow, and attribution model. By day 14: automated data aggregation running across your channels and an anomaly detection layer surfacing performance signals weekly.
Fixed price. Money back if the sprint doesn't deliver a working automated reporting pipeline by day 14.
Talk to the Wednesday team about your campaign reporting process. They'll show you how many hours your ops team spends building reports before you commit to anything.
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