Your real dashboard. Everything in one clear view.
See the same interface your team will work with every day. A left hand navigation for Overview, Stores, campaign views and analytics modules sits next to a live dashboard with revenue, behavior, platform and conversion insight.
Filters for export, store and date range drive the cards at the top: total revenue, orders, unique customers, average order value, revenue per customer and cart to purchase rate. Below that, charts and tables surface revenue trends, customer growth, behavioral flows, attribution bars and recent conversions in one place.
- Revenue analytics Revenue and customer value overview Total revenue, orders, AOV, revenue per customer and cart to purchase rate with growth indicators.
- Behavioral analytics Visitor and funnel behaviour Total visitors, page views, product views, purchases, overall conversion rate and session duration.
- Platform analytics Channel and platform performance Revenue, conversions and attribution split by platform with performance and growth trend views.
- Control and access Access, settings and account Access management, dashboard defaults, account security and billing keep the workspace organised.
Reveal true performance. See what is really driving growth.
Trackity’s Analytics Dashboard is created for one thing: giving you a clear and live picture of how your spend turns into revenue across every store and channel.
Client and server events, UTM data, zero party inputs and ad platform signals are captured in real time so nothing is missed.
Events run through a five layer tracking system with validation checks, fallbacks and stitched sessions so metrics reflect reality.
Normalized and deduplicated signals are streamed through Kafka and Redis, then stored redundantly inside AWS secured PostgreSQL clusters.
The dashboard runs on a secure, scalable stack. PostgreSQL, Redis and Kafka power millisecond level metrics at any scale.
Each chart is driven by signals that pass confidence layers, fallback queues and session mapping logic before they reach your view.
From journeys to product level conversions you see the true drivers of ROI with no extra engineering work required.
Analytics that move as fast as your revenue.
Track revenue, ROAS, AOV and source attribution across every store and channel in one place. Data is accurate to the second, powered by Kafka, built on AWS and ready for action.
See your entire ecommerce performance in one clean view. No more stale exports, stitched screenshots or delayed reports from different tools.
Everything about your dashboard. Clear answers before you even ask.
The Trackity dashboard brings all of your revenue, behaviour and platform analytics into one interface. Use this FAQ to understand what each area does and how it helps you decide what to scale, fix or stop.
Where do I see if my ad spend is turning into real revenue? Revenue analytics
Use the Revenue Analytics view. At the top you will find cards for total revenue, total orders, unique customers, average order value, revenue per customer and cart to purchase rate, all with growth indicators. Below, revenue overview charts show daily revenue with order volume overlays so you can spot winning days, spikes or drops in seconds.
How can I understand what visitors do before they buy or drop off? Behavioral analytics
Open Behavioral Analytics. You will see totals for visitors, page views, product views, purchases, overall conversion rate and average session duration, alongside behavioural growth trends. The conversion funnel view maps the full journey from session to purchase so you can see exactly where people drop and which stages respond when you improve creatives or landing pages.
Where do I see which platforms and campaigns really drive profitable conversions? Platform analytics
Go to Platform Analytics. Platform overview tiles summarise revenue, conversions, conversion rate, revenue per conversion, total events and connected platforms. Below that, platform performance and revenue attribution charts show exactly how much each channel contributes so you can reallocate budget from weak sources to the ones that actually scale.
How do I check individual orders, customers and accuracy flags? Recent conversions
Use the Recent Conversions table in your dashboard. Every row shows order ID, store, date, customer, order value, attributed source and confidence indicators. This is where you confirm that your high level metrics match what really happened on an order level and where you spot outliers worth deeper investigation.
Can I control which stores, platforms and date ranges my team sees by default? Dashboard & access settings
Yes. In Dashboard Settings you can set default date ranges, default stores and default platforms so every login starts from the same baseline. In Access Management you control which users can see which stores, dashboards and settings, keeping client spaces clean and secure.
What if I just want to export the numbers into my own reports? Export data
Use Export Data with your current store and date filters applied. This pulls the same verified metrics you see in cards, charts and tables into a file you can plug into external reports, BI tools or client decks without rebuilding logic every time.
| Module | Key questions answered | Best use in your day to day |
|---|---|---|
|
Revenue Analytics Total revenue, orders, AOV, revenue per customer |
Which campaigns and days drive revenue, how much each customer is worth and whether average order value is moving up or down. | Use it for daily ROAS checks, scaling decisions and spotting revenue drops before they hit your bank account. |
|
Behavioral Analytics Visitors, views, funnel stages, conversion rate |
Where visitors come from, what they view, where they drop in the funnel and how engaged they are before they purchase. | Pair this with creative and landing page tests to understand why some traffic converts and some never makes it to checkout. |
|
Platform Analytics Revenue and conversions by platform |
Which platforms are responsible for revenue and ROAS, how conversions are distributed and which channels should get more or less budget. | Use this when you reallocate spend between Google, Meta, TikTok and others so you scale the channels that actually pay off. |
|
Customer Analytics Customer growth and cohort value |
How many new customers you add, how fast your base grows and how value changes for different cohorts over time. | Ideal for retention and LTV strategies: see whether new offers bring in the right customers, not just cheap clicks. |
|
Conversions Recent orders and accuracy status |
Which orders were tracked, their value, attributed source and any accuracy flags that might need attention. | Use it to audit big days, high value customers and to reassure clients that every conversion is properly accounted for. |
|
Access Management Users, roles and permissions |
Who can see which stores, dashboards and settings and how teams or agencies are separated inside the same workspace. | Keep client data safe while giving your team and partners the exact level of insight they need to act. |
|
Dashboard Settings Default date ranges, stores, platforms |
How the dashboard looks at first glance: which shops, time periods and platforms are used as your default view. | Set this once so that every login starts from the same baseline, saving time and avoiding reporting mistakes. |
|
Account & Billing User profile, security, subscription |
Who owns the account, which security methods are enabled and how your subscription and invoices are managed. | Make sure security is strong, access is clean and billing always matches the value your dashboard delivers. |

