---
title: "Sales"
id: "1764"
type: "page"
slug: "sales"
published_at: "2026-09-20T21:35:43+00:00"
modified_at: "2026-09-20T21:43:08+00:00"
url: "https://xedant.com/agents/analytics/docs/templates/sales"
markdown_url: "https://xedant.com/agents/analytics/docs/templates/sales.md"
excerpt: "Templates for anyone who sells: shops, subscription services, sales to individuals and to companies. They…"
---

# Sales

[https://xedant.com/agents/analytics/docs/templates/sales.md](https://xedant.com/agents/analytics/docs/templates/sales.md)

Templates for anyone who sells: shops, subscription services, sales to individuals and to companies. They answer the questions a sales team faces every week: how much will we sell, which of our most valuable customers has started to leave, what to offer each customer next, and whether something broke this week. This section covers 10 templates.

Every template is a live walkthrough on demo data: open it in the Templates section of Analytics Agent and press “Use this template” to run it on your own data.

### Sales Forecast

**Shows:** a revenue forecast for several weeks ahead, with an honest range and accuracy measured on your own data — “the four-week-ahead forecast is off by this much on average.”

**You get:** purchasing, staffing, and cash planned against a range instead of a made-up “exact” number — no pile of unsold stock and no empty shelves in the best week of the year.

### Customer Segments (RFM)

**Shows:** customers sorted into nine named segments — by recency, frequency, and total spend — each with a recommended action: who to reward, who to win back, and who to stop spending on.

**You get:** a marketing budget that stops leaking — discounts no longer reach people who would have bought anyway, and customers who left long ago get one cheap email instead of endless newsletters.

### What Sells Together (Market Basket)

**Shows:** which products customers already buy in pairs — ready cross-sell lines, bundle ideas, and display hints, all drawn from your own invoices.

**You get:** cross-selling based on real baskets works more often than category-based picks — and the average order value grows without discounts.

### Next-Purchase Recommendations

**Shows:** which product to offer each customer next — with a reason written in plain language; bought-together logic ready to export into an email campaign or retargeting.

**You get:** “you bought X — so we remembered you”: a personal offer with a reason usually beats a faceless mailing.

### Customer Lifetime Value (Cohorts)

**Shows:** how much a customer brings in over the entire time with you and how long they stay — a retention map by monthly cohorts, cumulative revenue curves, and a value forecast with an honestly limited horizon.

**You get:** you find out how much you can really spend to acquire one customer — instead of a gut estimate that usually runs three times more optimistic than the truth.

### Churn Risk (Who Is About To Leave)

**Shows:** a ranked list of customers most likely to leave — each with the three main reasons in plain words and a specific action; this is a list for retention calls, not for browsing.

**You get:** keeping a customer is 5–10 times cheaper than winning one back or finding a new one — and here the list is ready in advance, before the conversation with the customer is even over.

### Lead Scoring (Who To Call First)

**Shows:** every lead ranked by conversion probability, with “hot / warm / nurture” tiers, reasons in plain words, and the next action.

**You get:** the day’s calls go where deals actually close — your sellers’ time no longer burns on an alphabetically sorted list.

### Anomaly Alerts (Something Went Wrong)

**Shows:** it watches daily metrics, flags real deviations from the usual level, and ranks them by severity; a ready alert rule reports in plain language what broke and when.

**You get:** instead of noticing a failure a week later, you learn about it in time — against a threshold tuned to your sales history, not a fixed number.

### Auto Insights (What Changed And Why)

**Shows:** a plain-language summary of the latest period — what moved, who contributed which share of the change, what appeared, and what went quiet.

**You get:** a Monday stand-up without manual number-crunching: one report shows where you grew, where you dipped, and what drove it.

### Review Sentiment (What Customers Are Saying)

**Shows:** your reviews split into praise and complaints, the main complaint themes in the buyers’ own words, the worst reviews at the top of the list; the score comes from a transparent dictionary you can open and edit in a text editor.

**You get:** nobody reads a thousand reviews — this template turns them into a product to-do list in one evening.

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