While using Quin, you can go beyond quick questions and explore your data more deeply with workflows. Built by our in-house data scientists, these workflows guide you through analyses step by step, so you get structured insights without having to create them yourself.

Type / to open the workflow menu and choose the analysis you need.

Understand which stage of the funnel your ad copy is targeting (awareness, consideration, or conversion). See whether your messaging matches how users are interacting with your ads. Use this to adjust copy or targeting so it aligns with user intent.

Compare clicks and conversions for each ad and channel to see where performance drops off. Identify ads that attract clicks but do not convert, and use this to improve messaging.

Analyze ad copy performance in detail by combining funnel stage, click-to-conversion behaviour, and overall results. Understand why certain ads perform better than others, and use this to improve messaging, pause underperformers, and guide creative decisions.

Compare automation recommendations with your performance, including spend, ROAS, CPA, and conversions. Use this to better understand the recommendations given and guide budget decisions.

Understand recent automated budget changes, including what increased or decreased, why those decisions were made, and how the automations are performing. Use this to get clear context behind budget allocation and communicate changes with confidence.

Analyse Radio campaign performance by breaking it down by campaign, day of the week and overall trends. Use it to rotate spend, test different parts of the day, and compare radio against other offline channels in a consistent way.

Analyse TV campaign performance by campaign, day of the week and weekend versus weekday patterns. Use it to move budget between flights, negotiate placements, and bring clear patterns into senior reviews rather than just a total TV number.

See how your Meta campaigns perform across seasonality, creative performance and funnel stages. Understand where results are strongest and where there are gaps after the click. Use this to improve creative testing, align campaigns to the right funnel stage and fix weak spots after the click.

A structured analysis of your Microsoft Ads campaigns, covering keywords, seasonality, and landing page performance. Understand how performance varies across these areas and identify patterns specific to this channel. Use this to optimise campaigns based on how Microsoft Ads performs.

A structured look at your Google campaigns, with the option to go deeper on specific campaigns, keywords, Shopping products, seasonality, and landing pages. Use it to reallocate budget, fix structural issues, and prioritise what to tackle across Search, Shopping, PMax, and more.

Track how different acquisition cohorts perform over time: retention, repeat purchase, LTV, time to second order, and which first purchases predict the best long-term customers. Use this to understand how much different user groups are worth over time, decide when to re-engage customers, and measure the long-term impact of retention, not just last month’s revenue.

A classic 80/20 analysis of your revenue and profit. It highlights which products generate most of your results, which are high volume but low margin, and which underutilized products have strong potential. Use this to prioritize where to focus your time, budget, and strategy.

Understand how customers build their baskets: average order size and value, common product combinations, and what drives larger orders. Use this to create bundles, improve cross-sells, and design campaigns based on real purchase behaviour.

Understand what is really driving sales, from top and bottom-performing products to margin, discount, and customer purchase patterns. Use this to refine promotions, spot unprofitable products, and guide merchandising and CRM with real sales data.

See how different keyword match types (exact, phrase, and broad) perform in your account. Understand how each contributes to traffic and conversions, and use this to adjust your match type mix and control spend more effectively.

Analyze keyword performance across Google and Bing to see which keywords drive results and which underperform. Use this to refine your keyword list, reduce inefficient spend, and improve overall campaign performance.

Compare how different landing pages perform for the same goal, with breakdowns by channel and traffic volume. Use this to identify which pages convert best, choose the right landing page for each campaign, and prioritise where testing could have the biggest impact.

Explore landing page performance in more detail, including overall trends, seasonality, and channel-level results. Checkout pages are analysed separately from acquisition pages to reflect their different roles. Use this to identify underperforming pages and prioritise optimisation opportunities.

Assess how reliable the model is by looking at its accuracy, how well it reflects actual behaviour, and where it may be less precise. Use this to decide how much to rely on UMM insights, set expectations in reporting, and identify potential data quality issues.

Explore your unified measurement results in more detail. See how channels influence each other, where the model is more or less reliable, and where clicks alone may underestimate performance. Use this to better understand cross-channel impact and explain differences between UMM and ad platform reporting.
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Understand how conversions build over time after a customer first interacts with your marketing. See how much value is captured within different time windows (e.g. 1, 7, 30, or 90 days), and how this varies by channel. Use this to choose an attribution window that reflects your actual customer journey and improves the accuracy of your reporting.

Your go-to for a full overview of paid performance. Quin looks across your channels, then identifies which areas drive results, with breakdowns by channel, keyword, and product. The analysis also highlights recommended actions, so you can move from insight to next steps in one place. Use this for regular performance reviews and to prioritise where to focus.

See how individual products perform across Google and Bing Shopping, including which drive the most revenue and where results drop off. Use this to adjust bids, prioritise your best performing products, and align your Shopping strategy with actual product performance.

Not finding what you need? You can build your own workflow!
Click the "Create workflow" button, give it a name, add a description, and write the instructions for how Quin should approach the analysis. Once saved, your custom workflow will show up in the menu just like the rest.