Explore showcase demonstrations and community-contributed examples of AI workflows and automations.
This funnel chart breaks down the steps of a typical e-commerce journey—from website visits all the way to completed purchases. You can clearly see where users are dropping off at each stage, like the big drop between product views and actual checkouts. It’s a great way to spot friction points in your funnel so you can optimize and improve conversions.
If you’ve ever juggled spreadsheets to figure out which products are flying off the shelves—and which ones are just gathering dust—you know how painful it can be. This report pulls in your sales and stock levels to calculate sell-through rates and days-in-stock, then automatically flags the slow movers. Now you can spot underperforming items at a glance and make smarter restocking decisions.
If you're in Sales or Finance, you know how tricky it is to get a reliable view of future revenue — especially when deals move unpredictably. I used to manually piece together spreadsheets to estimate what might close each month, and it was always a bit of a guess. This tracker uses actual pipeline history and deal velocity to project monthly revenue, so I finally have forecasts that feel grounded in reality, not just hope.
Hey everyone, if you're part of a CX or Research team like me, you know how messy clean surveys can get. Incomplete answers, inconsistent wording, and tiny variations—like “Yes,” “yes,” or just “Y”—can totally mess up your results. This tool automatically cleans all that up. It filters out half-filled responses, standardizes text, and normalizes those little answer differences so everything’s uniform (so all your “yes” variations just become “Yes”). What you end up with is a solid, consistent dataset that’s ready for real analysis—no extra elbow grease required.
This line chart shows global land-ocean temperature anomalies from 1880 onward, broken down by month and year. It tracks how Earth's climate has shifted over time, with each line reflecting deviations from historical temperature norms. It’s a powerful visual for understanding long-term climate trends and highlighting the growing urgency of global warming.
As a sales manager, I used to rely on gut feel to judge how healthy the pipeline was — and that didn’t always end well. This tool breaks it all down for me: how long deals sit in each stage, what our win/loss ratios look like, and how much revenue we can realistically expect. It’s like finally having a dashboard that tells me what’s stalling, what’s working, and where to focus to hit targets.
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Keeping our contact lists straight across different spreadsheets used to be a nightmare—there were always duplicate records hiding under slightly different spellings or old email addresses. This tool runs a fuzzy match on the name, email, and company fields, spots the overlaps, and then merges the details so you’re left with one clean record per person. Now our Marketing and Sales can trust they’re working from a single, up-to-date list instead of chasing the same lead twice.
I used to waste so much time untangling dates that came in every format under the sun—MM/DD/YY here, DD-MM-YYYY there, even text like “June 1st.” This tool spots all those messy date strings and converts them to clean ISO (YYYY-MM-DD) automatically. Now my time-series charts line up perfectly without me fiddling in Excel first.
I used the Berkeley Earth surface-temperature dataset to map out how a single location’s average temperatures swing through the year. Each bar radiating from the center represents a month—longer bars mean hotter months, shorter ones mean cooler months—so you can see the full seasonal cycle at a glance. It’s an intuitive way to spot how sharply (or gently) a place moves from winter chill to summer heat.
Running A/B tests used to mean exporting data, building pivot tables, and Googling how to calculate p-values — every single time. This tool takes care of all that. Just drop in your test data, and it gives you conversion rates, statistical significance, and clear visuals so you can quickly see which variant actually performed better.
Our team works with data from all over the world, and inconsistent country or state names used to break everything — reporting, segmentation, even simple filters. This tool fixes that. It standardizes all location names using ISO codes, so global reports actually make sense and marketing campaigns don’t miss the mark because of messy data.