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analytics-insights

By Goran Culibrk
11 articles

Analytics Dashboard

Understanding Your Analytics Dashboard Analytics dashboard overview Your Analytics Dashboard provides a complete overview of your app's performance, traffic, and user engagement. Accessing Your Dashboard 1. Go to My Apps 2. Click on your app 3. The Analytics Dashboard is the default view Or click "Dashboard" in the app navigation if you're on a different analytics page. Dashboard Sections Date Range Selector Located in the top right: - 7 days: Quick weekly snapshot - 30 days: Monthly overview (default) - 90 days: Quarterly trends - Custom: Select specific dates Changes apply to all dashboard data instantly (partial page reload). Overview Metrics Cards Four key metrics at the top: Pageviews - Total people who viewed your app listing - Percentage change vs previous period - ↑ Green = increasing, ↓ Red = decreasing Add App Clicks - Users who clicked "Add app" button - Strong intent signal - Tracks towards conversion funnel Installs - Actual app installations - Final conversion step - Revenue opportunity Revenue (if Partner API connected) - Total revenue for period - Includes all subscription types - Percentage change vs previous period Daily Events Chart Line chart showing trends over time: - Blue line: Pageviews (traffic) - Green line: Add App Clicks (interest) - Purple line: Installs (conversions) What to look for: - Spikes (feature launches, marketing campaigns) - Drops (issues, increased competition) - Patterns (weekday vs weekend, seasonality) Hover over any point for exact numbers and date. Mini Conversion Funnel Visual funnel showing drop-off at each stage: Pageviews → Add App Clicks → Installs Each stage shows: - Count: Number of users - Conversion rate: % who moved to next stage - Bar width: Visual representation Key metric: Install rate = Installs / Pageviews Typical good rates: - Add-to-Cart rate: 10-20% - Install rate: 2-5% Traffic Sources Table Traffic sources breakdown Where your visitors come from: Columns: - Source: Google, Direct, Shopify App Store, etc. - Pageviews: Traffic volume - Clicks: Add app clicks from this source - Installs: Conversions from this source - Install Rate: Conversion % for this source What to do: - Double down on high-converting sources - Investigate low-converting sources - Compare paid vs organic performance Top Countries Chart Geographic breakdown of installs: - Bar chart: Top 10 countries - Color coded: Easy to distinguish - Hover for details: Exact counts Use this to: - Understand your market - Plan localization - Target marketing campaigns - Identify expansion opportunities What Data You See Without Integrations - Category rankings - Keyword rankings - Public reviews and ratings - Last updated date - App store position With Partner API Plus: - Revenue and MRR - Customer counts - Subscription changes - Churn rates - Customer details With BigQuery Plus: - Pageviews and sessions - Traffic sources - Geographic data - Device breakdown - Conversion funnel - Click events Tips for Using Your Dashboard Daily Check (2 minutes) 1. Quick look at Overview cards 2. Note any major changes 3. Check yesterday's metrics Weekly Review (10 minutes) 1. Look at 7-day trends 2. Compare to previous week 3. Analyze traffic sources 4. Check geographic performance Monthly Review (30 minutes) 1. Switch to 30-day view 2. Identify patterns and trends 3. Compare to previous month 4. Plan next month's strategy Understanding Percentage Changes Green positive numbers mean: - ↑ 25% = 25% increase vs previous period - Good for pageviews, clicks, installs, revenue Red negative numbers mean: - ↓ 15% = 15% decrease vs previous period - Needs investigation No change: - 0% = Same as previous period - Could be stability or stagnation When Data Might Be Missing No traffic data? - Check if BigQuery is connected - Verify GA4 is tracking properly - Check date range selection No revenue data? - Connect Partner API - Wait for initial sync to complete - Check sync status in Settings Old data only? - Check last sync time - Trigger manual sync - Verify integrations are still connected Common Questions Q: How often does data update? A: Daily automatic syncs. Manual sync available in Settings. Q: Why don't numbers match Partner Dashboard? A: Time zones, calculation methods, or sync timing may differ. Try full sync. Q: Can I export dashboard data? A: Yes, use export buttons on individual charts and tables. Q: What's a good install rate? A: 2-5% is typical. Above 5% is excellent. Below 1% needs improvement. Q: How do I compare to other apps? A: Browse similar apps to see their public metrics and rankings. Next Steps Explore more analytics pages: - Category Analytics - Track rankings by category - Search Analytics - Keyword performance - Partner Metrics - Revenue deep dive - Traffic Analytics - BigQuery exploration - Customer Management - View your customers Need help? Contact [email protected] or use the chat widget.

Last updated on Mar 31, 2026

Check Category Rankings

How to Check Category Rankings Category rankings page Learn how to track your app's position in Shopify App Store categories and monitor ranking changes over time. What Are Category Rankings? Shopify organizes apps into categories like "Marketing", "Sales", "Shipping", etc. Your app's rank in each category affects: - Visibility: Higher ranks = more exposure - Trust: Top rankings signal quality - Traffic: Better positions drive more clicks - Installs: Ranking directly impacts conversions Accessing Category Analytics For Your Apps 1. Go to My Apps 2. Click on your app 3. Click "Category Analytics" in the app navigation For Any App (Public Data) 1. Go to Apps or use search 2. Click on any app 3. View its category rankings on the profile The Category Analytics Page Top Filters Date Range: Choose period (7d, 30d, 90d, custom) Category: View all categories or select one Both filters update the page data instantly. Performance Cards One card per category showing: Average Rank: Your typical position Best Rank: Your highest position achieved Worst Rank: Your lowest position Volatility: How much your rank fluctuates Lower numbers are better! - Rank #1 = Top position - Rank #50 = Needs improvement Ranking Trends Chart Line chart showing rank over time: - Y-axis: Rank (lower is better, chart inverted) - X-axis: Date - Hover: See exact rank on specific date - Multiple lines: One per category What to look for: - Upward trends (moving up in rank) - Drops (lost positions - investigate why) - Stability (consistent performance) Category Sessions Table For each category: Columns: - Category Name: Which category - Current Rank: Your position today - Rank Change: vs previous period - Sessions: Traffic from this category - Pageviews: Views from category traffic - Add to Cart: Clicks from this category - Installs: Conversions Sort by any column to identify: - Best performing categories - Most traffic - Highest conversion categories Conversion Funnel Shows the complete path: Pageviews → App Button Clicks → Installs → Trials → Paid Customers Trials and Paid Customers only show if Partner API is connected. Helps you understand where users drop off. Understanding Rank Changes Rank Change Indicators Next to current rank, you'll see: - ↑ +5 (Green): Moved up 5 positions - ↓ -3 (Red): Dropped 3 positions - — (Gray): No change What Causes Rank Changes? Positive changes (moving up): - New positive reviews - Increased installs - Regular updates - Improved conversion rate - Competitor apps declining Negative changes (dropping): - New competitors entering - Negative reviews - Decreased installs - No recent updates - Competitor apps improving Tips for Improving Rankings Focus on High-Traffic Categories 1. Check "Sessions" column 2. Identify categories with most traffic 3. Optimize for those first Monitor Competitor Rankings 1. Follow competitor apps 2. Check their category rankings 3. Understand what they're doing right Track Seasonal Patterns 1. Use 90-day view 2. Look for seasonal trends 3. Plan launches around patterns Optimize for One Category at a Time 1. Pick your most important category 2. Focus all efforts there 3. Move to next category once improved Filtering by Category View All Categories Select "All Categories" to see: - Performance across all categories - Which categories perform best - Overall ranking trends View Single Category Select a specific category to see: - Detailed ranking history - Category-specific traffic - Conversion metrics - Competitor analysis (if available) Category-Specific Insights Best Categories Identify winners: 1. High sessions 2. Low rank (top positions) 3. Good conversion rate Opportunity Categories Find potential: 1. Medium rank (#15-30) 2. Decent traffic 3. Room for improvement Underperforming Categories Decide to improve or ignore: 1. Low rank (#50+) 2. Low traffic 3. Poor conversion Common Questions Q: How often do rankings update? A: Shopify updates rankings daily. Ranksy syncs overnight. Q: Can I track categories I'm not in? A: Your app only appears in categories Shopify assigns. You can't manually add categories. Q: What's a good rank? A: Top 10 is excellent, Top 25 is good, Top 50 is acceptable, Below 50 needs work. Q: Why did my rank drop suddenly? A: Check for new competitors, negative reviews, decreased installs, or Shopify algorithm changes. Q: Do rankings affect revenue? A: Yes! Higher rankings → more visibility → more installs → more revenue. Q: Can I see competitor ranks? A: Yes, view any app's profile to see their category rankings. Next Steps Related analytics features: - Check Keyword Rankings - See how you rank for search terms - View Analytics Dashboard - Overall performance metrics - Track Traffic Sources - Where category traffic comes from - Follow Competitors - Monitor competitor categories Need help? Contact [email protected] or use the chat widget.

Last updated on Mar 31, 2026

Check Keyword Rankings

How to Check Keyword Rankings Keyword rankings table Learn how to find and track which keywords your app ranks for in the Shopify App Store search. What Are Keyword Rankings? When merchants search the Shopify App Store (e.g., "email marketing", "inventory management"), apps appear in ranked order. Your position for each keyword affects: - Discoverability: How easily merchants find you - Search Traffic: Volume from search results - Install Rate: Better positions = more installs - Competitive Edge: Outrank competitors for key terms Browsing All Keywords Access Keywords Page 1. Click "Keywords" in the main navigation 2. You'll see a table of all tracked keywords Keywords Table Columns: - Keyword: The search term - Apps: Number of apps ranking for it - Avg. Rating: Average rating of ranking apps - Total Reviews: Combined reviews of all apps - Avg. Reviews/App: Average per app - Last Updated: When data was last refreshed Search for Keywords 1. Use the search box at top right 2. Type keyword or partial keyword 3. Results filter automatically 4. Click any keyword to see ranking apps Understanding Keyword Data High app count = Competitive keyword - Example: "email" has 200+ apps - Harder to rank well - But more search volume Low app count = Niche keyword - Example: "abandoned cart sms" has 15 apps - Easier to rank well - But less search volume Viewing Keyword Details Keyword detail page Click any keyword to see: Number of Apps Over Time Chart Line chart showing: - How many apps rank for this keyword - Trend over time - Growing = more competition - Shrinking = declining interest Ranking Apps Table All apps that rank for this keyword: Columns: - Rank #: Position in search results - App Name: With logo and developer - Rating: Star rating - Reviews: Review count - Launched: When app was released - Last Updated: Most recent update Click any app to view its full profile. Rank Changes Next to rank you'll see: - +3 (Green): Moved up 3 positions - -2 (Red): Dropped 2 positions - No indicator: No change or new ranking Finding Your App's Keywords To see which keywords YOUR app ranks for: Method 1: Search Keywords Page 1. Go to Keywords 2. Search for terms related to your app 3. Click each keyword 4. Look for your app in the ranking table Method 2: Check Search Analytics 1. Go to My Apps → Your app 2. Click "Search Analytics" 3. See keywords driving traffic 4. Rankings for each keyword Note: Search Analytics requires BigQuery connected Improving Keyword Rankings Optimize for Relevant Keywords Research phase: 1. Browse Keywords page 2. Find keywords with moderate competition 3. Check if they match your app's purpose 4. Note your current rank (if any) Optimization phase: 1. Include keywords in app title (most important) 2. Use keywords in app description 3. Add to meta description 4. Use in image alt text Target Long-Tail Keywords Instead of: "email" Try: "abandoned cart email automation" Benefits: - Less competition - More specific intent - Higher conversion rate - Easier to rank Monitor Competitor Keywords 1. Find successful competitors 2. Click their app profile 3. See which keywords they rank for 4. Target similar keywords Keyword Research Strategy Step 1: Find Your Core Keywords What does your app do? - Main function - Primary benefit - Problem it solves Example: "Inventory management", "Stock tracking" Step 2: Find Related Keywords Use Keywords page to discover: - Variations of core keywords - Related terms - Industry-specific terms Step 3: Check Competition For each keyword: - How many apps rank? - What are their ratings? - What's your realistic rank target? Step 4: Track Over Time 1. Note your rank for target keywords 2. Check weekly 3. Track changes after optimizations 4. Adjust strategy based on results Tips for Success Quality Over Quantity - Rank #1 for one good keyword beats #50 for ten keywords Match Search Intent - Your app should deliver what the keyword promises - Don't optimize for irrelevant high-volume keywords Update Regularly - Keyword rankings change constantly - Check your target keywords weekly - Adjust app listing based on performance Combine with Categories - Strong category rank + keyword rank = maximum visibility - Focus on categories where your keywords matter most Common Questions Q: How often do keyword rankings update? A: Shopify updates search results daily. Ranksy syncs overnight. Q: Can I see my exact keyword rankings? A: Yes, search for the keyword on Keywords page, then find your app in the table. Q: How many keywords should I target? A: Focus on 5-10 core keywords. Master those before expanding. Q: What's a good keyword rank? A: Top 5 is excellent, Top 10 is good, Top 20 is acceptable. Below 20 = low traffic. Q: Do keywords affect installs? A: Yes! Good keyword ranks = more search visibility = more installs. Q: Can I see keyword search volume? A: Ranksy doesn't show search volume directly, but "Apps" count indicates keyword popularity. Q: How long to improve keyword rank? A: After optimizing your listing, allow 2-4 weeks to see ranking changes. Next Steps Related features to improve discoverability: - Check Category Rankings - Track category positions - View Search Analytics - See which keywords drive traffic (requires BigQuery) - Optimize Your Listing - Improve app store presence - Follow Top-Ranking Apps - Learn from successful competitors Need help? Contact [email protected] or use the chat widget.

Last updated on Mar 31, 2026

Search Analytics

Search Analytics Search analytics overview Search Analytics reveals how users find your app through Shopify App Store search and which keywords drive the most traffic and conversions. Accessing Search Analytics 1. Go to My Apps and select your app 2. Click Search in the sidebar navigation 3. Your keyword performance data will load Overview Metrics The top cards show your overall search performance: Total Keywords Tracked - All keywords where your app appears in search results - Updated daily with ranking checks Keywords in Top 10 - Number of keywords where you rank #1-10 - Prime visibility positions Keywords in Top 50 - Keywords where you rank #1-50 - Total search footprint Average Rank - Mean position across all tracked keywords - Lower is better Best Performing Keyword - Your highest-ranking keyword - Focus your optimization here Search Performance Chart Dual-Axis Timeline The chart shows two key metrics together: Left Axis (Inverted): Average Keyword Ranking - Shows ranking over time - Lower line = better rankings Right Axis: Search Events - Pageviews from search - Clicks from search results - Installs from search Using the Chart - Hover for exact values on any date - Select date range in the top right - Look for correlation between rankings and traffic - Identify the impact of app updates Key Insight: When rankings improve, traffic should follow within 24-48 hours. Keyword Performance Table Data Per Keyword Each row shows: | Column | Description | | --------------- | --------------------------- | | Keyword | The search term | | Current Rank | Today's position | | Change | Movement vs previous period | | Sessions | Visits from this keyword | | Pageviews | Page loads from keyword | | Clicks | "Add app" button clicks | | Installs | Conversions from keyword | | Conversion Rate | Install rate | Sorting and Filtering - Click any column header to sort - Use search to find specific keywords - Paginate through large keyword lists Expandable Details Click any keyword row to see: Geographic Breakdown - Top countries searching this keyword - Sessions and conversions by region Device Breakdown - Desktop vs Mobile vs Tablet - Performance by device type Traffic Sources - Organic vs paid search - Referral sources Daily Trends - Sparkline showing keyword performance - Day-by-day patterns Search Conversion Funnel The Complete Journey Track users from search to customer: 1. Search Impressions - Your app appears in results 2. Search Clicks - User clicks to your listing 3. Pageviews - User views your app page 4. Add App Clicks - User clicks install button 5. Installs - Installation completed 6. Trial Starts - User begins trial (Partner API) 7. Paid Customers - Conversion to paid (Partner API) Funnel Insights - See drop-off at each stage - Compare funnels between keywords - Identify high-converting keywords - Calculate ROI per keyword Note: Complete funnel requires both BigQuery and Partner API connected. Top Keywords Leaderboard Rankings By Different Metrics By Pageviews - Keywords driving the most traffic - Visibility champions By Clicks - Keywords generating interest - Intent indicators By Installs - Keywords converting best - Revenue drivers By Conversion Rate - Most efficient keywords - Quality over quantity Keyword Optimization Strategy Quick Wins (Positions 11-20) Focus here first: - Small ranking improvements = big visibility gains - These keywords are almost in the top 10 - Optimize listing for these terms Long-tail Keywords Often overlooked but valuable: - Lower competition - Higher conversion rates - More specific intent - Easier to rank for Competitor Keywords Find opportunities: - Keywords where competitors rank - Your position vs theirs - Gap analysis for opportunities Best Practices Weekly Keyword Review 1. Check ranking changes 2. Identify significant movements (+/- 5 positions) 3. Correlate with any app updates 4. Adjust optimization strategy Monthly Optimization 1. Analyze 30-day keyword trends 2. Identify growth keywords to double down on 3. Deprioritize consistently poor performers 4. Plan content and listing updates After App Updates 1. Monitor ranking impacts (48-72 hours) 2. Track traffic changes 3. Measure conversion effects 4. Document what worked Understanding Ranking Factors What Affects Rankings - App Quality: Rating and reviews - Relevance: Keyword in name/description - Performance: Conversion rates - Engagement: User activity signals - Recency: How recently you updated Common Patterns Post-Update Boost - Updates often improve rankings - Effect visible within 24-48 hours - Sustained if quality maintained Gradual Decline - Lack of updates - Competitor improvements - Declining review quality High Volatility - New keywords (establishing position) - High competition - Algorithm adjustments FAQ Q: How often are rankings checked? A: Daily for all tracked keywords. Q: Can I add custom keywords to track? A: Yes, use the keyword management feature in Settings. Q: Why did my ranking suddenly drop? A: Could be algorithm changes, competitor updates, or review changes. Check recent activity. Q: How many keywords should I track? A: Focus on 20-50 core keywords. Quality over quantity. Q: What's a good conversion rate from search? A: 2-5% install rate from search is typical. Above 5% is excellent. Q: Can I see what keywords competitors rank for? A: Yes, use the Competitive Intelligence feature to analyze followed apps. Want to improve your keyword rankings? Check out AI Keyword Suggestions for personalized recommendations.

Last updated on Mar 31, 2026

Category Analytics

Category Analytics Category analytics page Category Analytics shows how your app performs in each category listing, helping you optimize rankings and maximize category-driven installs. Accessing Category Analytics 1. Go to My Apps and select your app 2. Click Category in the sidebar navigation 3. Your category performance data will load Category Selector At the top, choose which category to analyze: - All Categories: Aggregated view across all categories - Specific Category: Deep dive into one category The dropdown shows all categories where your app is listed. Performance Metrics Cards Average Rank - Mean position across selected date range - Trend indicator showing improvement or decline - Color-coded: green = improving, red = declining Best Rank - Highest position ever achieved - Date when you hit this peak - Your target to maintain or beat Worst Rank - Lowest position recorded - Helps you understand your floor - Set improvement goals above this Rank Volatility - Statistical measure of ranking stability - Low volatility = stable, consistent position - High volatility = frequent changes, unstable Tip: Aim for low volatility with high average rank. High volatility means you need to stabilize your position. Category Event Timeline Daily Traffic Chart Multi-line chart showing: - Pageviews: Traffic from category pages (blue) - Add App Clicks: CTA clicks (green) - Installs: Conversions from category (purple) Chart Features - Interactive hover for exact numbers - Date range filtering - Category-specific or aggregated view - Visual trend lines What to Look For - Correlate traffic spikes with ranking changes - Identify your best-performing categories - Spot seasonal patterns - Plan category-specific optimizations Conversion Funnel Multi-Stage Funnel Visualize your complete journey: 1. Category Pageviews - Visitors from category page 2. Add App Clicks - Button clicks 3. App Installs - Installations 4. Trial Starts - From Partner API (if connected) 5. Paid Customers - Revenue conversions Metrics Shown - Volume at each stage - Conversion rates between stages - Visual proportional sizing - Attribution notes Optimization Use - Identify where users drop off - Compare funnel across categories - Calculate revenue attribution per category - Prioritize high-converting categories Note: Trial and paid customer data requires Partner API connection. Ranking Trends Chart Historical Rankings Line chart showing: - Rank position over time (inverted scale) - App update markers overlaid - Comparison across multiple categories Insights Generated - Biggest Improvements: Auto-detected wins - Concerning Drops: Alerts for declines - Update Correlation: Impact of app updates - Trend Direction: Improving, declining, or stable Category Sessions Table Detailed Breakdown For each category: | Column | Description | | --------------- | -------------------------- | | Category | Category name | | Current Rank | Today's position | | Sessions | Total visits from category | | Pageviews | Page loads | | Clicks | Add app button clicks | | Installs | Conversions | | Conversion Rate | Install % | Expandable Details Click any row to see: Geographic Breakdown - Top countries per category - Sessions, clicks, conversions by country Device Breakdown - Desktop vs Mobile vs Tablet - Performance by device type Source Breakdown - Traffic sources per category - Organic vs paid vs direct Daily Trends - Sparkline charts - Day-of-week patterns Growth Opportunities AI-Powered Recommendations For each category, see: - Current rank and opportunity description - Potential rank improvement estimate - Competitor gap analysis - Specific actionable recommendations Prioritization Opportunities are sorted by: - Potential impact - Quick wins highlighted - Long-term strategies noted Pro Tip: Focus on categories where you rank 11-20. Small improvements here mean big visibility gains. Understanding Ranking Changes What Affects Category Rankings - App Quality: Rating and reviews - Update Frequency: How recently you updated - Conversion Performance: Install rates - User Engagement: Activity signals - Category Relevance: How well you fit Common Patterns Post-Update Jump - Updates often improve rankings - Effect visible within 24-48 hours - Sustained if quality is maintained Gradual Decline - Lack of updates - Competitor improvements - Review quality dropping Volatility - New in category (establishing position) - High competition - Algorithm adjustments Best Practices Weekly Review 1. Check ranking changes across all categories 2. Identify significant movements 3. Correlate with app updates 4. Note competitor activities Monthly Strategy 1. Review 30-day category trends 2. Identify growth opportunities 3. Plan category-specific optimizations 4. Set ranking goals After App Updates 1. Monitor ranking changes closely (48-72 hours) 2. Track conversion rate impacts 3. Measure traffic changes 4. Document what worked Comparing Categories Portfolio View When viewing "All Categories": - See all categories side by side - Compare rankings and performance - Identify your strongest categories - Find improvement opportunities Strategic Questions - Which category drives the most installs? - Where do you have the best conversion rate? - Which categories are underperforming? - Where should you focus optimization? FAQ Q: How often are category rankings updated? A: Daily, typically overnight. Q: My app is in a new category but I don't see it yet? A: New categories appear within 24-48 hours of Shopify adding your app. Q: Why do rankings fluctuate so much? A: Competition, algorithm updates, and your own activity all affect rankings. Some volatility is normal. Q: Can I see competitor rankings in my categories? A: Yes, follow competitors and use the Competitive Intelligence feature. Q: What's a good category rank to aim for? A: Top 10 gets most visibility. Top 50 still appears in category browsing. Want to improve your category rankings? Check out AI Listing Improvements for specific recommendations.

Last updated on Mar 31, 2026

Traffic Analytics

Traffic Analytics Traffic analytics overview Traffic Analytics gives you direct access to your GA4 data through BigQuery, enabling powerful custom analyses beyond pre-built reports. Prerequisites Before using Traffic Analytics, you need: 1. BigQuery Integration - Connect your GA4 BigQuery export 2. GA4 Tracking - Have Google Analytics tracking your app listing If you haven't set this up yet, see Connect BigQuery. Accessing Traffic Analytics 1. Go to My Apps and select your app 2. Click Traffic in the sidebar navigation 3. The SQL query interface will load with your BigQuery data What You Can Do Write Custom SQL Queries The SQL editor supports: - Full BigQuery Standard SQL syntax - Syntax highlighting for readability - Query validation before execution - Configurable result limits - Export results to CSV Pre-built Query Templates Get started faster with templates for common analyses: User Journey Analysis - Track complete paths from discovery to conversion - Identify drop-off points - Understand multi-touch attribution Conversion Attribution - First-touch and last-touch attribution - Multi-touch attribution models - Channel contribution analysis Session Analysis - Session duration patterns - Pages per session - Bounce rate analysis - Engagement metrics Event Stream Queries - Event sequences and funnels - Cohort analysis - Retention queries Using a Template 1. Select a template from the library 2. Customize parameters (dates, filters) 3. Review the SQL query 4. Click Run Query 5. Save your customized version for future use Understanding Your Data Available Data Your BigQuery export includes: - Pageviews - App listing page visits - Clicks - Button and link clicks - Form Submissions - Trial starts, signups - Purchases - Install completions - Custom Events - App-specific tracking Common Fields | Field | Description | | ---------------- | --------------------- | | event_date | Date of the event | | event_name | Type of event | | user_pseudo_id | Anonymous user ID | | event_params | Event details (array) | | geo | Geographic data | | device | Device information | | traffic_source | Referral data | Best Practices Query Optimization Tips Do: - Start with small date ranges to test queries - Use specific columns instead of SELECT * - Filter by date partitions - Use LIMIT while testing - Check query cost estimation before running Avoid: - Querying entire datasets without filters - Full table scans - Nested subqueries when unnecessary - Running expensive queries repeatedly Cost Management BigQuery pricing: - First 1 TB/month is free - $5 per TB after that - Typical monthly cost: $5-20 The query cost is shown before execution so you can avoid surprises. Common Use Cases Find Your Best Traffic Sources Identify which sources drive the most conversions: SELECT traffic_source.source, COUNT(*) as sessions, COUNTIF(event_name = 'install') as installs FROM `your_table` WHERE event_date BETWEEN 'YYYY-MM-DD' AND 'YYYY-MM-DD' GROUP BY 1 ORDER BY installs DESC Analyze User Paths See how users navigate to installation: -- Track the sequence of events leading to install SELECT user_pseudo_id, event_name, event_timestamp FROM `your_table` WHERE user_pseudo_id IN ( SELECT DISTINCT user_pseudo_id FROM `your_table` WHERE event_name = 'install' ) ORDER BY user_pseudo_id, event_timestamp Geographic Performance Compare conversion rates by country: SELECT geo.country, COUNT(DISTINCT user_pseudo_id) as users, COUNTIF(event_name = 'install') as installs, SAFE_DIVIDE(COUNTIF(event_name = 'install'), COUNT(DISTINCT user_pseudo_id)) as conversion_rate FROM `your_table` GROUP BY 1 ORDER BY installs DESC LIMIT 20 Saving Queries Save frequently used queries for quick access: 1. Write or modify a query 2. Click Save Query 3. Give it a descriptive name 4. Access saved queries from your library Troubleshooting "Permission Denied" Error - Verify your BigQuery connection in Settings - Check that OAuth permissions are still valid - Try re-authorizing your Google account "Query Timeout" Error - Reduce your date range - Add more filters to limit data - Simplify complex queries - Try sampling larger datasets No Results Returned - Check that your date range has data - Verify event names match exactly - Confirm filters aren't too restrictive - Check if data has synced for that period Query Cost Too High - Add date filters to limit data scanned - Use specific columns instead of SELECT * - Consider aggregating data first - Use query dry-run to estimate costs FAQ Q: How real-time is the data? A: GA4 exports to BigQuery daily. For same-day data, check the events_intraday_* tables. Q: Can I connect multiple BigQuery projects? A: Currently, one BigQuery connection per app. Contact support for enterprise options. Q: Why is my query slow? A: Large date ranges and full table scans are the most common causes. Always filter by date first. Q: Can I schedule recurring queries? A: Not currently in Ranksy. Use BigQuery scheduled queries directly for automated reports. Need help with SQL? Check out BigQuery SQL Reference or contact [email protected].

Last updated on Mar 31, 2026

Upload Shopify Ads Report

Upload Shopify Ads Report Shopify Ads data lives behind the Partner Dashboard and isn't available through the Partner API. To see your ads performance in Ranksy, you export a CSV from Shopify and upload it here. Once imported, you get a full breakdown of spend, installs, revenue, and ROAS per search term, country, shop plan, and device type. What You'll Get After uploading, Ranksy shows: - Search term performance: Spend, clicks, installs, CVR, and ROAS per keyword - Geography breakdown: Which countries convert best - Shop plan breakdown: Performance by Basic, Shopify, Advanced, Plus - Device breakdown: Desktop vs. mobile vs. tablet - Cannibalization signals: Paid keywords where you already rank organically - Waste analysis: High-spend keywords with low returns Before You Start Make sure you have: ✅ Access to your Shopify Partner Dashboard ✅ At least one active or past ad campaign ✅ Admin permissions for the app in Ranksy Step 1: Export the CSV from Partner Dashboard You need to export the Ad data for campaign by search terms report with all three breakdowns enabled. This is the only report format Ranksy supports, because it contains the keyword-level detail needed for analysis. Open Your Campaign 1. Log into partners.shopify.com 2. Go to Apps and select the app you're running ads for 3. Click Ads in the left sidebar 4. Click into the campaign you want to export Select the Date Range 1. In the top right of the campaign page, click the date range picker 2. Choose the period you want to analyze ⚠️ Important: Ranksy prevents overlapping date ranges for the same campaign. If you've already uploaded a report for part of this period, pick a date range that doesn't overlap — or delete the existing report first. Configure the Export 1. Click the Export button 2. Under report type, select Ad data for campaign by search terms 3. Check all three breakdown boxes: - ✅ Include breakdown by country/region - ✅ Include breakdown by shop plan - ✅ Include breakdown by device type All three breakdowns are required. Ranksy validates the file has the full 28-column format and will reject exports that are missing columns. Download the File 1. Click Export at the bottom of the dialog 2. Shopify generates the CSV (this can take a few seconds to a minute for large campaigns) 3. Save the file somewhere you can find it The file will be named something like campaign-name-search-terms.csv. 🎥 Watch the export flow (18 seconds) — opens the video in a new tab. Step 2: Upload the CSV to Ranksy Open the Shopify Ads Page 1. In Ranksy, go to My Apps and select your app 2. Click Shopify Ads in the sidebar Upload Your File 1. Drag your CSV directly onto the upload area, or click Choose files to browse 2. You can upload up to 20 files at once if you're importing multiple campaigns 3. Each file must be 10MB or smaller 4. Accepted formats: .csv and .txt Each file shows its own progress indicator as it uploads: pending → uploading → queued → processing → completed. 🎥 Watch the upload flow (20 seconds) — opens the video in a new tab. Step 3: What Happens Next Once the file is uploaded, Ranksy runs a series of checks before importing: 1. Header validation: Confirms the CSV has all 28 expected columns in the correct format 2. App matching: Reads the app name from the CSV and matches it to the correct app in your team 3. Duplicate check: Computes a hash of the file and rejects it if you've uploaded the same file before 4. Date overlap check: Rejects the upload if its date range overlaps with an existing report for the same campaign If all checks pass, Ranksy queues the file for background processing. Processing The import runs in the background, so you don't have to keep the page open: - Rows are processed in batches of 500 - Each row becomes a searchable record with its keyword, country, shop plan, device, spend, and conversion metrics - Summary totals (impressions, clicks, installs, spend, revenue) are calculated for the whole report Most reports finish in under a minute. Very large exports (50,000+ rows) may take a few minutes. Notification When processing finishes, the page updates in real time and your new report appears in the list with summary stats. You can click into it to see the full search-term breakdown. Viewing Your Ads Data Once imported, your data is available across several views: - Overview: Totals for spend, installs, revenue, and ROAS across all reports - Search Terms: Per-keyword performance table, sortable by any metric - Geography: Country-level breakdown with conversion rates - Devices: Desktop / mobile / tablet comparison - Shop Plans: Performance segmented by merchant plan - Wasters: High-spend keywords that aren't converting - Cannibalization: Paid keywords where you're already ranking organically Troubleshooting Error: "Invalid CSV format" or "Missing required columns" Fix: - Re-export from Partner Dashboard and confirm you selected Ad data for campaign by search terms, not a different report type - Confirm all three breakdown checkboxes (country, shop plan, device) were checked - Don't edit the CSV before uploading — column names must match exactly Error: "This report has already been uploaded" Fix: - Ranksy detected you've uploaded this exact file before - If you want to re-import, delete the existing report from the Shopify Ads page first - If the content changed, re-export fresh from Partner Dashboard Error: "Date range overlaps with an existing report" Fix: - Another report for this campaign already covers part of this date range - Either shorten your date range to avoid the overlap, or delete the conflicting report first - You can see existing reports and their date ranges in the reports list Error: "App not found" Fix: - The app name in the CSV doesn't match any app in your Ranksy team - Make sure the app you're exporting for has been added to My Apps in Ranksy - Check that the app name in Partner Dashboard matches the one in Ranksy Upload fails or file is too large Fix: - Files must be under 10MB — if yours is larger, export a shorter date range and upload multiple files - Check your internet connection - Try a different browser if the issue persists Processing stuck on "queued" Fix: - Most reports start processing within a few seconds - Wait 5 minutes before assuming something is wrong - Refresh the page — the status updates in real time - If still stuck after 15 minutes, contact support FAQ Q: Why can't Ranksy pull this data automatically? A: Shopify Ads data isn't exposed through the Partner API. CSV upload is currently the only way to get it into any analytics tool. Q: How often should I upload? A: Weekly uploads give you a good rhythm for spotting trends. Upload a fresh report covering the new week each time. Q: Can I upload historical campaigns? A: Yes. Export as far back as Partner Dashboard lets you, and upload the file. Ranksy will process it the same way. Q: What if I re-export the same date range with updated numbers? A: Delete the existing report first, then upload the new file. The duplicate check prevents accidental re-uploads but doesn't stop you from refreshing a report deliberately. Q: Do I need the breakdown checkboxes if I don't care about geography or devices? A: Yes. The CSV structure requires all three breakdowns. Reports without them will be rejected. Q: Can I upload reports for multiple campaigns at once? A: Yes. Drag up to 20 files in at once. Each is processed independently. Q: Is my data visible to other teams? A: No. Reports are scoped to your team only. Need help? Contact [email protected] or use the chat widget. Include the name of the campaign and the error message if you hit one.

Last updated on Apr 16, 2026

Revenue Dashboard

Revenue Dashboard Revenue dashboard The Revenue Dashboard (Partner Metrics) provides complete financial and subscription analytics powered by your Shopify Partner account data. Prerequisites Before using Revenue Dashboard, you need: 1. Partner API Connected - Connect your Shopify Partner API 2. Initial Sync Complete - Wait for data to sync (usually a few minutes) If you haven't set this up yet, see Connect Partner API. Accessing Revenue Dashboard 1. Go to My Apps and select your app 2. Click Revenue in the sidebar navigation 3. Your revenue metrics and charts will load Dashboard Sections MRR Overview The top section shows your key revenue metrics: Current MRR - Your real-time monthly recurring revenue - Color-coded trend indicator MRR Growth Rate - Month-over-month percentage change - Green = growing, Red = declining 30-Day Revenue - Total revenue in the last 30 days - Includes all subscription types Total Customers - Count of paying merchants - Active subscriptions only MRR Trend Chart Interactive chart showing: - Historical MRR over time - Daily/weekly/monthly granularity - Trend lines for forecasting - Hover for exact values What to look for: - Steady upward trend = healthy growth - Plateaus = acquisition or churn issues - Sharp drops = investigate immediately Revenue Composition Breakdown of your revenue by: New Revenue - From first-time customers - Indicates acquisition success Expansion Revenue - From upgrades and add-ons - Often more profitable than new Contraction Revenue - From downgrades - Early warning signal Churn Revenue - Lost from cancellations - Key metric to minimize Subscription Lifecycle Track all subscription movements: | Event | Meaning | | ---------------- | --------------------- | | New Subscription | Fresh paying customer | | Upgrade | Moved to higher tier | | Downgrade | Moved to lower tier | | Cancellation | Lost customer | | Reactivation | Returned customer | Installation Analytics Installation analytics Install Funnel Complete journey visualization: 1. App Store Visits - From BigQuery (if connected) 2. App Installs - Partner API data 3. Active Users - Currently using 4. Paying Customers - Converting to paid Key Metrics - Total Installs: Lifetime installations - Install Trend: Daily installation patterns - Time to Activation: Install to active use - Trial-to-Paid Rate: Conversion percentage Trial Conversion Analysis Metrics Tracked - Trial Start Rate: Installs that begin trials - Trial-to-Paid Rate: Trials converting to paid - Average Trial Duration: How long before converting - Conversion by Plan: Which tiers convert best Optimization Insights Use this data to: - Find the optimal trial length - Identify conversion triggers - Improve onboarding experience - Adjust pricing strategy Geographic Revenue Revenue by Country Visual map showing: - Revenue concentration by region - Customer count per country - Average revenue per user (ARPU) by location - Growth rates by market Strategic Use - Best Markets: Where to double down - Growth Opportunities: High potential, low penetration - Localization Needs: Language and currency gaps - Marketing Focus: Where to concentrate spend Churn Analysis Churn Metrics - Monthly Churn Rate: % customers lost monthly - Revenue Churn: Dollar impact of churn - Churn by Plan: Which tiers churn most - Churn by Cohort: When customers leave At-Risk Signals Watch for these warning signs: - Decreased usage patterns - Failed payments - Increased support tickets - Feature engagement drops Retention Strategies Based on your data: - Identify when to intervene - Test retention offers - Optimize communication timing - Plan win-back campaigns Customer Cohorts Cohort Analysis Track performance by: - Acquisition Month: Long-term retention - Plan Tier: Plan-specific patterns - Channel: Acquisition source quality - Geography: Regional differences Lifetime Value (LTV) Calculate and track: - LTV by cohort - LTV trends over time - LTV by acquisition channel - LTV forecasting Best Practices Daily Monitoring Quick Check (2 minutes): - Review current MRR - Check for new customers - Note any cancellations - Monitor payment failures Weekly Analysis Deep Dive (15 minutes): - Analyze churn patterns - Review plan performance - Check geographic trends - Update cohort data Monthly Strategy Full Review (30 minutes): - Complete financial review - Pricing optimization check - Retention initiative planning - Expansion opportunities Understanding Your Metrics Healthy Indicators - MRR growing month-over-month - Net revenue retention > 100% - Churn rate < 5% monthly - Trial-to-paid rate > 2% - Expansion revenue > churn revenue Warning Signs - MRR plateau or decline - Increasing churn rate - Declining trial conversion - High contraction revenue - Payment failure spikes FAQ Q: How often does revenue data sync? A: Daily automatic syncs. You can trigger manual sync in Settings. Q: Why don't numbers match my Partner Dashboard exactly? A: Small differences due to time zones or calculation timing. Should be within 1%. Q: Can I track revenue from multiple apps? A: Yes, each app has its own Revenue Dashboard. View aggregate in team dashboard. Q: What's included in MRR calculation? A: All recurring subscriptions. One-time charges are tracked separately. Q: How is churn rate calculated? A: (Customers lost in period) / (Customers at start of period) x 100 Q: Can I export revenue data? A: Yes, use export buttons on charts and tables for CSV download. Need help understanding your metrics? Contact [email protected] for personalized guidance.

Last updated on Mar 31, 2026

AI Keyword Suggestions

AI Keyword Suggestions AI keyword suggestions AI Keyword Suggestions analyzes your app, competitors, and the Shopify App Store to recommend keywords that can improve your search visibility. Accessing AI Keyword Suggestions 1. Go to My Apps and select your app 2. Click Suggestions in the sidebar navigation 3. Select Keywords from the submenu How It Works Our AI analyzes multiple data sources to find keyword opportunities: 1. Your Current Rankings - Where you already rank 2. Competitor Keywords - What similar apps rank for 3. Search Trends - Popular search terms in your category 4. Gap Analysis - Keywords you're missing 5. Relevance Scoring - How well keywords match your app Suggestion Categories High-Opportunity Keywords Keywords where you have the best chance to rank: - Moderate search volume - Lower competition - Relevant to your app - Currently not ranking or ranking poorly Quick Win Keywords Keywords where small improvements yield big results: - You currently rank 11-30 - Good search volume - Achievable top 10 position - High conversion potential Long-tail Keywords More specific, lower-competition keywords: - 3+ word phrases - Very specific intent - Higher conversion rates - Easier to rank for Competitor Keywords Keywords your competitors rank for that you don't: - Based on followed apps - Gap opportunities - Market expansion potential Understanding Suggestions Each Suggestion Shows | Field | Description | | ----------------- | ---------------------------------- | | Keyword | The suggested search term | | Search Volume | Estimated monthly searches | | Competition | How hard to rank (Low/Medium/High) | | Your Rank | Current position (if any) | | Opportunity Score | AI-calculated potential (1-100) | | Recommendation | Specific action to take | Opportunity Score The AI calculates a score from 1-100 based on: - Search volume potential - Competition difficulty - Your current position - Relevance to your app - Conversion likelihood 80-100: Excellent opportunity, prioritize 60-79: Good opportunity, include in strategy 40-59: Moderate opportunity, consider Below 40: Lower priority Using Suggestions Review and Prioritize 1. Sort by Opportunity Score 2. Focus on top 10-20 keywords 3. Group by theme or intent 4. Create an optimization plan Implement Recommendations For each high-priority keyword: In Your App Name (if applicable) - Include primary keyword naturally - Don't keyword stuff In Your Tagline - Feature 1-2 key terms - Keep it readable and compelling In Your Description - Use keywords naturally throughout - Include variations and synonyms - Focus on first 200 characters In Your Features List - Match keyword intent - Highlight relevant capabilities Track Results After implementing changes: 1. Wait 24-48 hours for re-indexing 2. Check Search Analytics for ranking changes 3. Monitor traffic from new keywords 4. Iterate based on results Refreshing Suggestions When to Refresh - After making listing changes - Monthly for new opportunities - When competitors update - After significant ranking changes How to Refresh Click the Refresh Suggestions button to get updated recommendations based on current data. Best Practices Do - Focus on relevance over volume - Target keywords matching user intent - Include keywords naturally in your listing - Track keyword performance after changes - Update suggestions monthly Don't - Stuff keywords unnaturally - Target irrelevant high-volume keywords - Ignore long-tail opportunities - Make too many changes at once - Expect instant results Keyword Strategy Tips Balancing Your Portfolio Aim for a mix of: - Head terms (1-2 words): High volume, high competition - Mid-tail (2-3 words): Moderate volume, moderate competition - Long-tail (3+ words): Lower volume, lower competition, higher conversion Intent Matching Consider what users want when searching: - Discovery intent: "best inventory app" - Comparison intent: "inventory app vs" - Solution intent: "track inventory shopify" - Brand intent: "specific app name" Match your listing to the intent behind your target keywords. Seasonal Keywords Some keywords spike seasonally: - Holiday-related terms (Q4) - Tax season terms (Q1) - Back-to-school (August-September) Plan ahead for seasonal opportunities. FAQ Q: How often should I check for new suggestions? A: Monthly is ideal, or after significant listing changes. Q: Should I target all suggested keywords? A: No, focus on 10-20 highest opportunity keywords that are relevant to your app. Q: How long until I see ranking changes? A: Typically 24-72 hours for indexing, 1-2 weeks for stable rankings. Q: Can I suggest keywords to track? A: Yes, add custom keywords in Search Analytics settings. Q: Why did a suggestion disappear? A: Competition may have changed, or you're now ranking well for it. Q: Do suggestions consider my current customers? A: Yes, if Partner API is connected, we factor in what keywords drive conversions. Ready to implement? Update your app listing with recommended keywords, then track results in Search Analytics.

Last updated on Mar 31, 2026

AI Listing Improvements

AI Listing Improvements AI listing improvements AI Listing Improvements analyzes your app store listing and provides specific recommendations to improve conversions, rankings, and overall performance. Accessing AI Listing Improvements 1. Go to My Apps and select your app 2. Click Suggestions in the sidebar navigation 3. Select Listings from the submenu How It Works Our AI evaluates your listing against: 1. Best Practices - Shopify App Store guidelines 2. Top Performers - What successful apps do 3. Your Competitors - How you compare 4. Conversion Data - What drives installs 5. Search Optimization - Keyword placement Listing Score Overall Score Your listing receives a score from 0-100: - 90-100: Excellent, minor tweaks only - 70-89: Good, some improvements needed - 50-69: Fair, significant opportunities - Below 50: Needs attention, prioritize improvements Score Components The overall score combines: - App Name optimization - Tagline effectiveness - Description quality - Screenshot impact - Review management - Keyword optimization Improvement Categories App Name Suggestions Recommendations for your app name: - Keyword inclusion opportunities - Length optimization - Clarity and memorability - Brand positioning Example Suggestion: "Consider including 'inventory' in your app name. It's a high-volume keyword in your category and you currently rank #23 for it." Tagline Improvements Your tagline is crucial for first impressions: - Value proposition clarity - Keyword placement - Character limit usage - Emotional appeal Example Suggestion: "Your tagline is 45 characters. You have room to add your primary benefit. Consider: 'Automate inventory sync across all channels'" Description Optimization Detailed recommendations for your description: - First 200 characters (most important) - Feature highlighting - Keyword density - Call-to-action placement - Formatting and readability Example Suggestion: "Your first paragraph doesn't mention your primary keyword. Move 'inventory management' to the first sentence for better search visibility." Screenshot Recommendations Visual optimization suggestions: - Screenshot count (aim for 4-6) - Text overlay effectiveness - Feature demonstration - Mobile vs desktop views - Sequence and storytelling Example Suggestion: "You have 3 screenshots. Top-performing apps in your category average 5. Add screenshots showing your reporting dashboard and mobile view." Review Response Strategy Recommendations for managing reviews: - Response rate analysis - Response quality tips - Negative review handling - Review solicitation timing Example Suggestion: "You've responded to 60% of reviews. Aim for 100% response rate. Responding to all reviews, especially negative ones, improves trust." Priority Levels High Priority Issues significantly impacting performance: - Missing critical keywords - Poor first impression elements - Low screenshot count - Unaddressed negative reviews Medium Priority Opportunities for meaningful improvement: - Description optimization - Additional keyword opportunities - Screenshot enhancements - Response improvements Low Priority Fine-tuning suggestions: - Minor wording changes - Advanced optimizations - A/B testing ideas Implementing Improvements Step-by-Step Process 1. Review All Suggestions - Understand the full picture 2. Prioritize High Impact - Start with high priority items 3. Make Changes in Shopify - Update your Partner Dashboard 4. Wait for Sync - Changes appear within 24 hours 5. Track Results - Monitor rankings and conversions 6. Iterate - Refresh suggestions after changes Best Practices Do: - Implement one category at a time - Document changes you make - Wait 1-2 weeks to measure impact - Keep suggestions handy for reference Don't: - Change everything at once - Ignore your brand voice - Copy competitor listings exactly - Expect instant results Competitor Comparison How You Compare See how your listing stacks up: - Description length comparison - Screenshot count comparison - Review count and rating - Response rate comparison Learning from Competitors Use competitor insights to: - Identify gaps in your listing - Find differentiation opportunities - Understand category standards - Spot trends to adopt or avoid A/B Testing Ideas Suggested Tests Based on your listing, we suggest: - Alternative taglines to test - Screenshot order variations - Description opening variations - Feature highlight options Running Tests While Shopify doesn't support native A/B testing: 1. Make a change 2. Track metrics for 2-4 weeks 3. Compare to baseline 4. Keep winner, test next variation Refreshing Suggestions When to Refresh - After implementing changes - Monthly for new ideas - When competitors update - After significant ranking changes Click Refresh Use the Refresh Analysis button to get updated suggestions based on your current listing. FAQ Q: How often should I update my listing? A: Review monthly, update quarterly at minimum. More frequent updates if underperforming. Q: Will changes hurt my current rankings? A: Improvements typically help. Avoid removing keywords you rank well for. Q: Should I follow every suggestion? A: Focus on high-priority items first. Some suggestions may not fit your brand. Q: How long until changes take effect? A: Listing updates sync within 24 hours. Ranking impact visible in 1-2 weeks. Q: Can AI write my description? A: We provide suggestions, not full rewrites. Maintain your authentic voice. Q: Do suggestions consider my niche? A: Yes, recommendations are tailored to your category and competitors. Need more traffic? Combine listing improvements with AI Keyword Suggestions for maximum impact.

Last updated on Mar 31, 2026

AI Feature Suggestions

AI Feature Suggestions AI feature suggestions AI Feature Suggestions analyzes competitor apps, customer reviews, and market trends to recommend features that could help your app grow. Accessing AI Feature Suggestions 1. Go to My Apps and select your app 2. Click Suggestions in the sidebar navigation 3. Select Features from the submenu How It Works Our AI analyzes multiple sources to identify feature opportunities: 1. Competitor Features - What similar apps offer 2. Customer Reviews - What users request and complain about 3. Market Trends - Emerging needs in your category 4. Gap Analysis - Features you're missing 5. Review Sentiment - Pain points and desires Suggestion Sources From Competitor Analysis Features found in competitor apps: - Common features you're missing - Differentiating features of top performers - New features competitors recently added - Features mentioned in competitor reviews From Review Analysis Insights from customer feedback: - Frequently requested features - Common pain points to solve - Integration requests - Workflow improvements From Market Trends Emerging opportunities: - New Shopify platform capabilities - Industry trend features - Rising search terms suggesting demand - Seasonal feature opportunities Understanding Suggestions Each Suggestion Shows | Field | Description | | ------------------- | ------------------------------- | | Feature | Suggested feature name | | Source | Where we found this opportunity | | Demand Signal | Evidence of user demand | | Competitor Coverage | How many competitors have it | | Impact Estimate | Potential business impact | | Complexity | Implementation difficulty | Impact Scores Features are scored by potential impact: - High Impact: Could significantly improve conversions or retention - Medium Impact: Meaningful improvement opportunity - Low Impact: Nice-to-have enhancement Complexity Levels We estimate implementation effort: - Low: Quick to implement, minimal development - Medium: Moderate effort, some complexity - High: Significant development required Feature Categories Must-Have Features Features most competitors offer: - Table stakes for your category - Users expect these - Missing them hurts conversion Differentiating Features Opportunities to stand out: - Few competitors have these - Strong user demand signals - Potential competitive advantage Emerging Features Forward-looking opportunities: - Based on market trends - Early mover advantage - Future-proofing your app Integration Features Connection opportunities: - Popular integrations in your space - User-requested connections - Platform capabilities to leverage Using Suggestions Prioritization Framework Evaluate each suggestion by: 1. Strategic Fit - Does it align with your vision? 2. User Demand - How strong is the evidence? 3. Competitive Need - Are you falling behind? 4. Implementation Cost - Can you afford to build it? 5. Revenue Potential - Will it drive growth? Building a Roadmap 1. Review all suggestions 2. Score against your criteria 3. Group into themes 4. Assign to quarters 5. Validate with users Quick Wins Look for features that are: - High impact + Low complexity - Strong demand signal - Missing from your app - Already validated by competitors Review Intelligence Pain Point Analysis We analyze negative reviews to find: - Recurring complaints - Missing functionality - Usability issues - Integration gaps Example Insight: "23% of negative reviews mention difficulty with bulk editing. Consider adding a bulk edit feature." Feature Request Tracking We identify requested features from: - Direct feature requests in reviews - Comparison statements ("wish it had X like Y") - Workaround descriptions - Support-related comments Sentiment Trends Track how sentiment relates to features: - Which features get praised? - Which cause frustration? - What drives 5-star reviews? - What causes 1-star reviews? Competitor Feature Matrix Visual Comparison See how your features compare: - Features you have vs don't have - Features by competitor - Category coverage gaps - Unique features (yours and theirs) Using the Matrix Identify: - Table stakes you're missing - Differentiation opportunities - Over-served areas to skip - Unique advantages to promote Best Practices Do - Validate suggestions with your users - Consider your app's focus and vision - Look for patterns across sources - Prioritize by impact and effort - Track feature launches in analytics Don't - Build everything suggested - Ignore your core value proposition - Copy competitors blindly - Underestimate implementation effort - Skip user validation Feature Development Tips Before Building 1. Validate demand with users 2. Check technical feasibility 3. Estimate true cost 4. Define success metrics 5. Plan the announcement After Launching 1. Update your app listing 2. Announce in release notes 3. Track adoption metrics 4. Gather user feedback 5. Iterate based on results Refreshing Suggestions When to Refresh - Monthly for new opportunities - After competitors update - When entering new markets - After major app updates Click Refresh Use Refresh Analysis to get updated suggestions based on current market data. FAQ Q: Should I build every suggested feature? A: No. Use suggestions as input, not mandates. Prioritize based on your strategy. Q: How accurate are the demand signals? A: We analyze real user feedback, but always validate with your specific users. Q: Can I suggest features to track? A: Feature tracking is based on market analysis. Focus your input on keyword tracking. Q: How often do suggestions update? A: We continuously analyze new reviews and competitor changes. Refresh monthly. Q: Do suggestions consider my development resources? A: We provide complexity estimates, but you know your team's capacity best. Q: What if a suggestion doesn't fit my app? A: Skip it. Not every suggestion will be relevant to your specific focus. Have a feature idea? Before building, check Competitive Intelligence to see how competitors approach similar features.

Last updated on Mar 31, 2026