What RBHelix Can Analyze

Shows how your revenue develops month by month.

Identifies your best-selling products by units sold, along with the revenue each one brings in.

Shows how much customers spend per order and how many items they buy, month by month.

Shows how visitors move through each step from visit to order and where they drop off.

Shows how revenue is spread across discount levels and flags discount bands that erode your margin.

Compares your campaigns by revenue, spend and return on ad spend (ROAS).

Shows your daily return on ad spend (ROAS): how much revenue each unit of ad spend brings back.

Shows what it costs to win a new customer through each marketing channel, known as customer acquisition cost (CAC).

Shows how your revenue is split across traffic sources such as organic, paid and email.

Shows how credit for conversions is shared across your marketing channels along each customer's path.

Shows how recently, how often and how much each customer buys, known as RFM (recency, frequency, monetary value).

Shows how your customers and revenue are split across your customer segments.

Shows what share of customers from each starting month come back to buy in the following months.

Identifies which customers are active, at risk, lost or won back, based on your customers' own buying rhythm.

Estimates how much revenue an average customer brings in over their expected relationship with your store.

Shows how your monthly profit develops as revenue minus expenses.

Compares your actual monthly revenue with your revenue budget.

Shows the cash coming in and going out each month and the resulting net cash flow.

Shows which expense categories make up most of your spending in the latest month.

Shows what share of your monthly revenue remains as gross and net margin.

Shows whether your open sales pipeline (deals not yet won or lost) is large enough compared with your recent monthly won revenue.

Shows your win rate on closed deals and where and why deals are lost.

Shows total revenue for each region and which regions contribute the most.

Compares your sales reps on won revenue, win rate, cycle time and open pipeline.

Measures how closely the expected close dates entered for past deals matched their actual close dates.

Scores each customer's health from 0 to 100 and shows how your customer base splits into health bands.

Identifies repeat customers who have been quiet longer than their usual buying rhythm and the revenue tied to them.

Measures customer satisfaction from Net Promoter Score (NPS) and customer satisfaction (CSAT) survey results, overall and by segment.

Shows how your monthly recurring revenue (MRR) changes each month through new sign-ups and lost customers.

Shows what share of each quarterly sign-up group is still subscribed after 3, 6 and 12 months.

Shows the core unit economics of your business: revenue per customer, order value, margin, return on ad spend and acquisition cost.

Shows how many users move from first activity to conversion and on to repeat conversion, based on your tracking events.

Shows what share of new users or customers are still active 1, 2, 3 or more months after they first appeared.

Shows how your return on ad spend (ROAS) and cost per acquisition (CPA) change month by month.

Tells you whether the difference in conversion rate between your A/B test variants is statistically significant.