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Explore ready-to-use AI skills that help you analyze marketing, sales, finance, and ecommerce data faster with Coupler.io. Use AI skills for your repeated tasks inside Coupler.io to make your analytics routine faster and more efficient. Works with Claude, ChatGPT or your other preferred AI tools.
Follows the pages AI assistants cite through to traffic, signups and sales, and shows where the chain breaks.
Shows how much traffic ChatGPT, Perplexity and Gemini send your site and how it compares with Google organic search.
Finds the Amazon Ads settings and campaign setups wasting money, like campaigns bidding against each other, and what each one costs.
Checks whether your Amazon Ads sales and ACOS can be trusted and compared before you use them to move budget.
Shows where your Amazon Ads spend will land by month end and which campaigns run out of budget too early.
Writes your monthly Amazon Ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Shows which Amazon keywords and product targets make money and what each one should bid.
Shows what Sponsored Brands, Display and DSP bring in beyond ACOS, like first-time customers and more searches for your brand.
Shows what changed in your Amazon Ads, why your ACOS moved, and what to do about it next.
Shows whether your Amazon ads sell better at the top of search or on product pages, and how to set your placement bids.
Shows which advertised Amazon products earn back their ad spend and which ones spend without selling.
Finds Amazon search terms that spend without selling, builds your negative keyword list, and moves the money to terms that sell.
Finds the Microsoft Ads settings quietly wasting money, like search partners and settings carried over from Google, and what each costs.
Shows which Microsoft Ads audiences bring results, including LinkedIn job and industry targeting, and how to set your bids.
Shows where your Microsoft Ads spend will land by month end and which campaigns would get more conversions with more budget.
Writes your monthly Microsoft Ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Checks whether you can trust your Microsoft Ads conversion numbers before you move budget, including double counting and untracked spend.
Shows how much of the Bing auction you win, where you lose to budget or ad rank, and which campaigns to defend.
Shows which Microsoft Ads keywords make money, where a low Quality Score is pushing up your cost per click, and what to fix first.
Shows which locations, devices and hours bring your Microsoft Ads results, and how to adjust your bids for each.
Shows what changed in your Microsoft Ads account, why it changed, and what to do about it next.
Finds Microsoft Ads search terms that spend without converting, builds your negative keyword list, and shows where to move the money.
Shows which products make money in Microsoft Shopping, which ones spend without selling, and how to regroup them.
Splits your Google search traffic into people searching your brand and people finding you for the first time, and shows which is growing.
Finds pages that are losing Google traffic, tells you whether rankings or demand dropped, and which pages to refresh first.
Finds the Meta ads settings quietly wasting money, like the wrong optimisation goal or Advantage+ toggles, and shows what each one costs.
Shows why your Meta ad sets are stuck in the learning phase and which ones to merge so they can get out of it.
Shows which Meta audiences bring results and which ones are paying to reach the same people twice.
Shows where your Meta ad spend will land by month end and which ad sets would get more results with more budget.
Writes your monthly Meta ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Checks whether you can trust Meta's conversion numbers before you move budget, including double counting and spend with no tracking.
Shows which Meta ads are wearing out, how long each one has left, and how many new ads you need each month.
Shows which of your Meta ads win, what the winners have in common, and what to make in the next round.
Shows what changed in your Meta ads, why your cost per result moved, and what to do about it next.
Shows which Meta placements, countries and devices bring results, and which ones to switch off.
Finds the Meta campaigns and ad sets spending without results and shows where to move that money instead.
Finds the Google Ads settings quietly wasting money, like search partners and Display expansion, and shows what each one costs you.
Shows where your Google Ads spend will land by month end and which campaigns would get more conversions with more budget.
Writes your monthly Google Ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Checks whether you can trust your Google Ads conversion numbers before you move budget, including double counting and untracked spend.
Shows which Google Ads keywords make money, where a low Quality Score is pushing up your cost per click, and what to fix first.
Shows what Performance Max spends your money on, how much of it is your own brand traffic, and whether it's worth keeping.
Shows what changed in your Google Ads account, why it changed, and what to do about it next.
Finds Google Ads search terms that spend without converting, builds your negative keyword list, and shows where to move the money.
Shows how your Google search clicks and rankings differ by country and device, and which markets fall behind.
Finds search queries sitting just off page one and pages that get seen but not clicked, so you know what to optimise next.
Finds the LinkedIn Ads settings and campaign setups wasting money, and shows what each one is costing you.
Shows where your LinkedIn Ads spend will land by month end and why some campaigns can't spend their budget.
Writes your monthly LinkedIn Ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Checks whether you can trust your LinkedIn Ads conversion numbers before you move budget, including double counting and untracked spend.
Shows which LinkedIn ads are wearing out, how long each one has left, and how many new ads you need each month.
Shows which LinkedIn ads win within each format, what the winners have in common, and what to make next.
Shows what changed in your LinkedIn Ads, why your cost per lead moved, and what to do about it next.
Shows whether your LinkedIn ads do better on LinkedIn itself or the Audience Network, by device, and what to switch off.
Finds the LinkedIn campaigns and ads spending without results and shows where to move that money instead.
Shows which LinkedIn lead gen forms bring good leads at a fair cost and where people drop off before submitting.
Shows which marketing channels and campaigns bring results, what changed, and where to spend more.
Tracks how long your new pages take to show up in Google and get their first clicks, and flags the ones Google is ignoring.
Compares your ad platforms side by side on spend, CPA and ROAS without double counting conversions.
Shows which landing pages bring Google search traffic and whether that traffic converts once it lands.
Shows why your TikTok ad groups are stuck in the learning phase and which ones to merge so they can get out of it.
Shows which TikTok audiences bring results and whether your targeting does better than simply going broad.
Shows where your TikTok ad spend will land by month end and which ad groups would get more results with more budget.
Writes your monthly TikTok ads report for a client, measured against the targets you agreed, with misses explained and next month's plan.
Checks whether you can trust TikTok's conversion numbers before you move budget, including double counting and spend with no tracking.
Shows which TikTok videos are wearing out, how long each one has left, and how many new videos to shoot each month.
Shows which of your TikTok videos win, what the winners have in common, and what to shoot next.
Shows what changed in your TikTok ads, why your cost per result moved, and what to do about it next.
Shows which TikTok placements, countries and devices bring results, and which ones to switch off.
Finds the TikTok campaigns and ad groups spending without results and shows where to move that money instead.
Shows what GMV Max and your TikTok Shop ads bring in, which products sell, and whether GMV Max beats running campaigns yourself.
Puts your store sales next to sessions, ad spend and email to show blended ROAS and conversion rate, on any store platform.
Shows which campaigns, first products and first-order discounts bring Shopify customers who come back and buy again.
Shows what in your Shopify store will sell out, when you need to reorder, and how much cash is sitting in dead stock.
Shows which products and variants in your store sell, which make money, and which to reorder, drop or mark down.
Shows how your Shopify store did and whether a change in revenue came from orders, order value or refunds.
Shows your P&L, MRR, margins and cash runway, pulled straight from your accounting and billing tools.
Shows your pipeline health, win rates and rep performance, pulled straight from your CRM.
Sets up a new data flow from any source to Google Sheets, BigQuery or your AI tool, through a short conversation.
Explains your data set in plain language, field by field, so every later analysis reads it the way your business does.
Gets you from an empty Coupler.io workspace to your own data in the chat, connecting your first source along the way.
Pulls Google Ads data that standard reports leave out, like hourly figures or product-level Shopping data, with a custom query.
Turns a vague question like 'how is marketing doing' into a precise one, with the time period, metrics and comparison spelled out.
Turns your analysis into a report people can act on, and checks the math, units and claims before it goes out.
Connect your Google Ads or Meta data and run the campaign audit skill. Your AI flags every campaign where spend is climbing but conversions haven't moved.
When GA4 shows a dip on Friday afternoon, run the traffic analysis skill. It checks the pattern against previous weeks and gives you a plain-language explanation ready to share with your team.
Add the ecommerce performance skill, connect your Shopify data, and ask your AI to rank products by revenue minus ad spend. You get a clear view of what's actually profitable without building a pivot table or waiting on a data analyst.


