MINT’s Data Analyst Agent Just Got Smarter: 5 New Use Cases to Uncover Campaign Insights

Brand New Capabilities for Campaign Intelligence

Whether you’re a media strategist or a technical marketing analyst, our new use cases will streamline your workflow and reveal actionable insights that were previously buried in spreadsheets. In this blog post, we break down 5 powerful new prompts for our Data Analyst Agent, and how each one helps you make smarter advertising decisions.

1. Trend Analysis of Advertising Campaign Performance

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Use Case & Prompt: Analyze the trend of a specific KPI for an advertising campaign, considering peaks and variations over different days of the week. This feature enables you to pinpoint when your campaign performs best (or worst) and adjust strategies accordingly.

Can you analyze the trend of [specific KPI] for my advertising campaign, considering any peaks or variations on different days of the week?

Our Data Analyst Agent automatically examines your chosen KPI (whether it’s CTR, conversion rate, spend, etc.) over time and highlights daily patterns. Instead of manually plotting data in Excel, the agent delivers instant visualizations that show how performance fluctuates on Mondays vs. Fridays, or any other day. You immediately see which days are your “peak performers” and which lag behind. Armed with this knowledge, you can optimize campaign scheduling, allocate budgets to high-yield days, or troubleshoot why certain days dip in performance.

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2. Impact of Awareness Investment on Search Performance

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Use Case & Prompt: Evaluate the correlation between investment in awareness (upper-funnel campaigns) and search performance for a specific campaign. In integrated marketing, we often suspect that brand awareness drives more brand-related searches – now our agent proves it with data.

Can you analyze and explain how the investment in awareness has impacted search performance for the 'XYZ' campaign?

The Data Analyst Agent correlates your awareness media spend (e.g. display or video campaign investment) with search metrics like search impressions, clicks, or branded search volume. It performs a comparative analysis before, during, and after an awareness push to show how search queries and conversions respond. You see trends visualized over time, making it clear if your awareness campaign caused a lift in search traffic (and if so, how long after the investment the effect occurred). This analysis demystifies the cause-and-effect relationship between upper- and lower-funnel efforts, enabling you to justify brand campaigns by their impact on search KPIs.

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3. Before-and-After Campaign Setting Change Analysis

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Use Case & Prompt: Assess the impact of a campaign setting change on key performance metrics. When you flip a switch on a campaign (like changing bidding strategy, targeting, or creatives), how do you know if it truly helped? Our Data Analyst Agent now takes the guesswork out of A/B-style comparisons for any campaign adjustments.

I changed the settings of my 'XYZ' campaign on the 15th of July. Can you analyze the impact of this change?

This feature automatically compares “before vs. after” performance once a campaign change is implemented. The agent pulls key KPIs (CTR, CPC, conversions, ROAS, etc.) from the period prior to the change and contrasts them with the period following the change. The result is a clear breakdown of gains or losses attributable to that setting tweak. Visual charts and tables illustrate trends so you can spot differences instantly. Moreover, if something unexpected occurs – say CTR improved but conversions dropped – the agent will flag it and even suggest potential external factors that might have influenced the outcome.

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4. Performance Analysis of Grouped Campaigns

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Use Case & Prompt: Provide a comprehensive analysis of all topic-related campaigns over the past years. Often, marketing teams run multiple campaigns around a common theme or product. This capability aggregates those campaigns to evaluate collective performance and long-term trends.

Can you provide all our Christmas campaigns over the past three years, along with their performance metrics such as clicks, impressions, and investment per platform?

Our Data Analyst Agent can automatically group campaigns by a defined theme or category and analyze their combined metrics. Instead of looking at each campaign in isolation, you get a bird’s-eye view of the entire portfolio’s performance. The agent lists every relevant campaign and key KPIs, then shows year-over-year investment and results across different platforms. With trend analysis over a multi-year span, it can detect anomalies (like an unusual spike in a particular year) and surface insights on which platforms delivered the best ROI for that group of campaigns. This is incredibly useful for strategy reviews and annual planning, as you can quickly identify how your multi-campaign initiatives have evolved and which areas to double down on.

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5. Budget Forecasting and Performance Projection

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Use Case & Prompt: Generate a budget forecast for an upcoming period based on historical spending trends and seasonal factors. Planning your next quarter’s budget just got easier – and smarter – with AI-driven projections that account for past patterns.

Provide a budget forecast for [month XYZ] for the Search Channel, based on the spend data from [previous period], specifically for the following media row(s): [media row name(s)].

Leveraging years of historical data, our Data Analyst Agent can forecast future budget needs and likely performance. It studies your past spending levels, seasonality (e.g. holiday peaks, summer slumps), and performance trends to recommend an optimal budget for the next period. Not only do you get a dollar figure, but also a projection of expected results like clicks, impressions, and impression share given that budget. The agent produces visual charts of these projections, so you can see expected performance curves and any seasonal shifts anticipated. It will also call out any constraints or adjustments needed – for instance, if your planned budget is much lower than last year’s during a high-demand season, it will warn you that targets may be missed unless adjusted.

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Campaign Questions, Instant Answers — Powered by MINT’s Enhanced Data Analyst Agent

With this release, we’re excited to see marketers uncover why a campaign is peaking or dipping, what to do about it, and how to plan – all within a single platform. At MINT, our mission is to streamline and elevate advertising operations and empowering you with deeper data insights is a big part of that. We invite you to explore these new Data Analyst Agent features and let us know what game-changing insights you discover!

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