50 Questions to Ask TrackBee

"Which Meta campaigns had the highest ROAS in the last 30 days?"

Returns a ranked table of all your Meta campaigns with spend, revenue, and ROAS. Instantly see which campaigns are printing money and which are burning it.

"Compare my Google Ads and Meta Ads performance this month."

Gets you a side-by-side comparison of spend, revenue, ROAS, CPA, and conversion volume across both platforms. One table, one answer — no more switching tabs.

"Show me all campaigns spending more than $50/day with fewer than 3 conversions this week."

Surfaces your budget leaks. These are the campaigns you probably want to pause or restructure before they drain more budget.

"What's my cost per acquisition by channel for the last 14 days?"

Breaks down CPA across Meta, Google, TikTok, and Pinterest so you can see where each new customer is cheapest to acquire.

"Which Google Ads search terms drove the most conversions last month?"

Pulls your actual converting search terms from Google Ads data. Shows you what people are searching when they end up buying.

"How are my TikTok campaigns performing compared to last month?"

Gets you a month-over-month comparison of TikTok spend, impressions, conversions, and ROAS. Useful for spotting whether the channel is trending up or down.

"What's my daily ad spend trend across all channels for the past 30 days?"

Returns a daily spend chart across Meta, Google, TikTok, and Pinterest combined. Spot spend spikes, budget pacing issues, or days where something went wrong.

"If I had to cut $500/month in ad spend, which campaigns should I pause?"

AI analyzes all your campaigns by efficiency and recommends the worst performers to cut. A decision that used to take an hour of spreadsheet analysis, done in seconds.

"What percentage of my revenue comes from each channel this month?"

Returns a channel-by-channel revenue breakdown: Meta, Google, TikTok, Pinterest, Klaviyo, organic, direct. See the full picture in one view.

"What was my best revenue day this month and what drove it?"

Identifies the peak revenue day and breaks down what happened — which campaigns spiked, which products sold, which channels drove traffic.

"Show me average order value trends over the past 90 days."

Plots your AOV over time so you can spot trends. Is it climbing because you launched a bundle? Dropping because of a discount campaign? Now you know.

"What's my blended ROAS across all paid channels for this quarter?"

Combines total ad spend across Meta, Google, TikTok, and Pinterest against total attributed revenue. The single number that tells you if paid acquisition is profitable.

"How does my weekend revenue compare to weekday revenue?"

Breaks down revenue by day of week. Useful for ad scheduling decisions — if Sundays consistently outperform, you might want to increase weekend bids.

"Is Google or Meta driving more first-time customers?"

Cross-references Shopify customer data with channel attribution to show which platform is better at acquiring net-new buyers versus returning ones.

"What's my MER (Marketing Efficiency Ratio) for the past 30 days?"

Calculates total revenue divided by total marketing spend — the big-picture metric that cuts through attribution noise. Track this monthly to see if overall efficiency is improving.

"Where are people dropping off in my checkout funnel?"

Shows the full funnel from page view to add-to-cart to checkout initiation to purchase, with drop-off rates at each step. Pinpoints exactly where you're losing customers.

"What's my add-to-cart rate by traffic source?"

Breaks down add-to-cart rate by channel (Meta, Google, TikTok, email, organic, direct). See which traffic sources send shoppers who actually engage with products.

"Compare conversion rates between mobile and desktop this month."

Pulls device-level conversion data from GA4 and Shopify. If mobile converts at half the rate of desktop, that's a UX problem worth fixing.

"What's my cart abandonment rate and how has it changed over the past 30 days?"

Shows you what percentage of add-to-cart sessions never complete checkout, trended over time. Spot whether recent changes helped or hurt.

"Which landing pages have the highest conversion rate from paid traffic?"

Combines GA4 session data with Shopify conversion events to rank your pages by paid traffic conversion rate. Find your best performers and send more budget their way.

"How many sessions does it take for a customer to convert on average?"

Analyzes the number of sessions before purchase across your customer base. Helps you understand your consideration window and set realistic attribution expectations.

"What's the checkout-to-purchase completion rate by channel?"

Of the visitors who start checkout, how many actually finish? Broken down by traffic source. A low rate from a specific channel might indicate a payment or trust issue with that audience.

"What's the split between new and returning customers this month?"

Shows you how much of your revenue comes from first-time buyers versus repeat customers. A healthy store has a growing base of returning buyers.

"What's the average time between a customer's first and second order?"

Calculates the typical repurchase window from Shopify order data. This number should drive when you trigger re-engagement emails in Klaviyo.

"Which traffic sources bring the highest average order value?"

Ranks channels by AOV so you can see which platforms attract higher-spending shoppers. Useful for allocating budget to the channels that bring in your most valuable customers.

"Show me my top 10 customers by lifetime order value."

Pulls your highest-value customers from Shopify with their total spend, order count, and last purchase date. These are the people you should know by name.

"What percentage of customers who bought in January came back to buy again?"

Calculates your cohort retention rate. Pick any month and see how many of those first-time buyers returned for a second purchase.

"Which countries generate the most orders and revenue?"

Breaks down Shopify orders by shipping country with revenue, order count, and AOV. Discover if there's an untapped market you should target more aggressively.

"What are my top 10 products by revenue this month?"

Ranks your product catalog by revenue with units sold, average selling price, and percentage of total revenue. Your merchandising decisions should start here.

"Which products are frequently bought together?"

Analyzes multi-item orders in Shopify to find product pairs and bundles that customers naturally combine. Perfect for creating cross-sell offers or bundle deals.

"Which products drive the most revenue from paid traffic specifically?"

Shows which products convert best from ad-driven visitors. If your top organic seller is different from your top paid seller, that's important insight for your creative strategy.

"What products have a high add-to-cart rate but low purchase rate?"

Finds products that attract interest but fail to convert. These might have pricing friction, unclear product pages, or shipping cost surprises at checkout.

"Show me product sales trends over the past 90 days for my top 5 products."

Plots daily or weekly sales volume for your best sellers. Spot seasonal patterns, the effect of promotions, or early signs of declining demand.

"What's my average order value when a specific product is in the cart?"

Identifies which products drive bigger carts. If a certain product consistently appears in high-value orders, it might be your best upsell anchor.

"Did anything unusual happen with my store performance this week?"

AI scans your revenue, orders, traffic, and conversion data for statistical anomalies. It flags anything that deviates significantly from your recent baseline — positive or negative.

"Why did my orders drop last Tuesday?"

Investigates a specific day by checking traffic volume, conversion rates, ad spend changes, and funnel metrics. Gives you a diagnosis rather than just a number.

"Are any of my campaigns showing a declining trend in ROAS over the past 2 weeks?"

Catches ad fatigue and creative decay early. Returns campaigns where ROAS is trending downward so you can refresh creatives or adjust targeting before it gets worse.

"Has my conversion rate changed significantly compared to the same period last month?"

Compares this period's conversion rate to the previous period. If it dropped, follow up to investigate whether it's a traffic quality issue or a site issue.

"Flag any campaigns where CPA has increased more than 30% week over week."

Sets a threshold-based alert across all your campaigns. Returns only the ones that breached it, so you know exactly where to focus your attention today.

"Is my Meta Event Match Quality score dropping on any events?"

Checks your EMQ scores for key conversion events. A drop in match quality means Meta is getting less signal, which directly impacts ad performance and targeting.

"How much revenue did my Klaviyo flows generate this month versus campaigns?"

Splits Klaviyo revenue between automated flows (welcome series, abandoned cart, post-purchase) and one-off campaigns. Shows you which engine is doing the heavy lifting.

"Which Klaviyo flow generates the most revenue per recipient?"

Ranks your flows by revenue per recipient — the true efficiency metric. A small flow with high RPR might be more valuable than a large flow with mediocre performance.

"What's my abandoned cart recovery rate from Klaviyo over the past 30 days?"

Calculates how many abandoned carts were recovered through Klaviyo's automated flow. A low recovery rate signals that your email timing, content, or incentive might need work.

"How is my Klaviyo subscriber list growing month over month?"

Shows subscriber growth trends including new signups, unsubscribes, and net growth. A shrinking list is a leading indicator of future email revenue decline.

"Which Klaviyo campaign had the highest click-through rate this month?"

Ranks your email campaigns by CTR so you can identify which subject lines, content, and offers drive the most engagement. Replicate what works.

"Compare the revenue from Klaviyo email versus my paid channels."

Puts email revenue in context alongside Meta, Google, and other paid spend. Many stores underestimate how much email contributes — this question reveals the true split.

"Give me a complete weekly performance report for last week: revenue, orders, AOV, channel breakdown, top campaigns, funnel metrics, and any anomalies."

Generates your entire weekly report in one shot. Revenue trends, channel performance, campaign rankings, conversion funnels, and flagged anomalies — all in one response.

"Create a monthly marketing performance summary comparing this month to last month."

Produces a month-over-month comparison with percentage changes across all key metrics. Perfect for team meetings, client reports, or investor updates.

"Summarize my ad performance by platform for the past 7 days with recommendations."

Gets you a platform-by-platform breakdown with spend, ROAS, and CPA — plus AI recommendations for what to scale, what to pause, and what to test next.

"What are the 3 most important things I should know about my store this week?"

The ultimate open-ended question. AI analyzes everything — revenue trends, campaign performance, funnel changes, anomalies — and surfaces just the three things that matter most. Start your week with this one.