# Repeat Customer Insights

> Repeat Customer Insights is a Shopify app built for consumer packaged goods and consumable brands: it runs RFM scoring, cohort tracking, and lifetime value analysis across a store's full order history, groups customers into loyalty segments that sync automatically to Shopify tags and Klaviyo, analyzes which products drive repeat purchasing, and delivers written advice tied to the store's own metrics, priced from $59 to $249 a month.

- Category: Customer Segmentation (https://saastracker.org/categories/customer-segmentation)
- Website: https://www.littlestreamsoftware.com
- Starting price: $59 per month
- Free plan: No
- Free trial: 14 days
- Founded: 2008, HQ: United States, Ownership: Independently owned by its founder, bootstrapped
- Profile last reviewed: 2026-09-02
- Canonical profile: https://saastracker.org/products/repeat-customer-insights

## Overview

Most segmentation apps hand you a matrix and wish you luck. Repeat Customer Insights is unusual in that it tells you what to do about it. Alongside the RFM scoring and cohort tracking, the product generates written guidance keyed to the store's own numbers: which segment is leaking, which product is pulling customers into a second order, where the loyalty funnel is failing. For an operator without an analyst, the interpretation is often worth more than the chart.

The focus is deliberately narrow. This is built for consumer packaged goods and consumables, the businesses where the second and third order determine whether the business works at all. That focus shows up in what gets measured: repurchase intervals, product-level influence on retention and average order value, and cohort behavior over long horizons rather than the ninety-day windows generalist tools default to.

Segments do not stay trapped in the app. Loyalty groups sync automatically into Shopify customer tags and into Klaviyo, which means the analysis reaches the systems that act on it, and the same definition drives both a fulfilment rule and an email flow. That write-back is what separates a reporting app from a segmentation tool, and it is included at the lower tiers rather than reserved for the top plan.

The vendor is one of the more reassuring things about the product. Little Stream Software is Eric Davis, a developer who has been running the business as a consultancy and then an app shop since around 2008, with several Shopify apps in the catalogue including one in the platform's top fifty. Repeat Customer Insights has been on the App Store since May 2016, which makes it a decade-old product in a market where most competitors are three years old.

The trade-offs are the obvious ones for a one-person software business. Review volume is small, the interface is functional rather than fashionable, and there is no venture-funded roadmap racing to add an AI layer every quarter. What there is instead is a decade of continuous operation, support answered by the person who wrote the code, and analysis that goes deeper on repurchase behavior than anything else at this price.

## How it works

1. You install from the Shopify App Store and the app analyzes the store's order history, with the amount of history included rising by plan from two years to the full archive.

2. Customers are scored on recency, frequency, and monetary value and grouped into loyalty segments, alongside cohort tracking that follows each acquisition group over time.

3. Product analysis runs in parallel, showing which products bring customers back and how each affects average order value and retention rather than only revenue.

4. Segments sync out automatically as Shopify customer tags and into Klaviyo, so the same definitions drive store logic and email flows without anyone maintaining two lists.

5. The app generates written advice against the store's own metrics, highlighting the specific opportunities its numbers imply rather than presenting a generic dashboard.

6. Scheduled email reports and customizable dashboards keep the analysis in front of the team, and API access on the top tier allows the data to be pulled elsewhere.

## Best for

Consumer packaged goods and consumable Shopify brands with real repeat-purchase history that want deep RFM and cohort analysis, product-level retention insight, and automatic segment syncing to Shopify tags and Klaviyo, with written interpretation rather than raw charts.

## Not the right fit for

- Stores on platforms other than Shopify, since it installs as a Shopify app.
- Considered-purchase and durable-goods businesses where customers legitimately buy once, and repurchase analysis has little to work with.
- Teams that want segments pushed into Meta, Google, and TikTok, which this product does not sync to; Klaviyo and Shopify tags are the activation paths.
- Buyers who want the cheapest possible entry, since $59 is several times what a basic RFM app costs.
- Anyone who needs a large, independently verified review base before adopting, since the public review count is small even after a decade.

## Features

### Customer analysis

RFM, cohorts, and lifetime value on the full history.

- **RFM segmentation**: Recency, frequency, and monetary scoring across the customer base, which is the backbone of every loyalty decision the app then makes recommendations about.
- **Cohort tracking**: Acquisition cohorts followed over long horizons rather than short windows, which is the only honest way to tell whether recent marketing is buying better customers.
- **Lifetime value analysis**: Customer value modelled across the full relationship, so decisions about acquisition cost are made against realized value rather than first-order revenue.
- **Loyalty funnel analysis**: The progression from first order to loyal repeat buyer is measured as a funnel, which localizes where customers are actually lost instead of reporting only that retention is low.
- **Repurchase interval measurement**: How long customers take to reorder, which for consumables is the number that determines when a replenishment message should land, and getting it wrong wastes the campaign.
- **Full order history on higher tiers**: The entry plan analyzes two years of orders and higher plans use the complete archive, which matters for long-cycle products where two years hides the pattern.

### Product and channel insight

Which products create repeat customers, not just revenue.

- **Product influence on retention**: Products are ranked by their effect on whether a customer comes back, which frequently disagrees with the revenue ranking and changes what gets merchandised to new buyers.
- **Product effect on average order value**: How each product moves basket size, which turns a merchandising decision into a measurable one rather than an instinct.
- **Variant-level analysis**: Available on higher tiers, so flavor, size, or format differences within a product line can be evaluated separately.
- **Acquisition source tracking**: Where customers originally came from is carried into the loyalty analysis, connecting retention quality back to the channel that bought the customer.
- **Multi-channel support**: Between two and fifty sales channels depending on plan, so wholesale, retail, and marketplace orders can sit alongside direct sales.

### Activation and reporting

Segments leave the app; reports arrive without being fetched.

- **Automatic Shopify customer tagging**: Loyalty segments write back as tags, so store logic, discounts, and support prioritization can key off the same definitions marketing uses.
- **Klaviyo sync**: Segments flow into Klaviyo for email and SMS, which is the activation path most consumable brands rely on for replenishment and win-back.
- **Scheduled email reports**: Analysis is delivered on a schedule rather than waiting to be opened, which is how the findings reach people who never log in.
- **Customizable dashboards**: Views can be arranged around the metrics a specific store cares about instead of a fixed layout imposed on every business.
- **Written advice tied to your metrics**: Guidance generated against the store's actual numbers, highlighting specific opportunities. This interpretation layer is the product's real differentiator against cheaper RFM apps.
- **API access on the top tier**: Programmatic access to the analysis for stores that want the data in their own warehouse or internal tools.

### Commercial terms

Three plans, a real trial, and a decade-old vendor.

- **Entrepreneur at $59 a month**: Core segmentation with two years of order history, aimed at a store proving the loyalty problem before investing further.
- **Growth at $99 a month**: Adds customer tagging, the full order history, and variant analysis, which is the tier where the product becomes operationally useful rather than diagnostic.
- **Peak at $249 a month**: Advanced analytics, API access, more sales channels, and premium support for larger multi-channel brands.
- **Fourteen-day free trial**: Long enough for the analysis to populate against real history, which is the only meaningful way to evaluate this class of product.
- **Support from the developer**: Questions are answered by the person who built it, typically within a business day, which is a different experience from tiered support at a larger vendor.

## Use cases

- **Consumable brand with a replenishment problem**: Customers should reorder every six weeks and many do not, but nobody can say which cohorts lapse or when the reminder should land. Outcome: Repurchase intervals and loyalty funnel analysis identify where customers drop, and the lapsing segment syncs to Klaviyo so the replenishment flow targets the right people at the right time.
- **Founder without an analyst**: The store has dashboards and nobody with the training to say what any of it implies for next month's plan. Outcome: Written advice generated against the store's own metrics turns the numbers into a short list of actions, which is the gap most reporting tools leave open.
- **Merchandiser choosing what to promote to new customers**: Promotion decisions are made on revenue ranking, and the top sellers may or may not be the products that create repeat buyers. Outcome: Product influence on retention and average order value is measured directly, so the first-order product mix can be chosen for the second order rather than the first.
- **Operations team applying VIP treatment**: Support prioritization and shipping perks depend on an informal sense of who the good customers are. Outcome: Loyalty segments write back as Shopify customer tags, so the operational rule and the marketing definition come from the same analysis.

## Pricing

Flat monthly subscription in three tiers sold through the Shopify App Store, rising by depth of analysis, history included, and number of sales channels.

- **Entrepreneur**: $59 per month. RFM segmentation and cohort tracking; Two years of order history; Loyalty funnel and lifetime value analysis; Scheduled email reports. Diagnostic rather than operational, since customer tagging sits on the tier above.
- **Growth**: $99 per month. Automatic Shopify customer tagging; Full order history analyzed; Variant-level product analysis; Klaviyo segment sync. The tier most brands should evaluate, because tagging and full history are what make the analysis actionable.
- **Peak**: $249 per month. Advanced analytics; API access; Support for many sales channels; Premium support.

Billing notes:

- History depth differs by tier, with the entry plan limited to two years, which matters for long-cycle products where two years hides the repurchase pattern.
- Customer tagging, the feature that makes segments usable outside the app, starts on the middle tier rather than the entry plan.
- Sales channel support ranges from two to fifty by plan, so multi-channel brands should size on channels as well as features.
- Billing runs through Shopify and appears on the store's Shopify invoice.
- Pricing is flat rather than metered on order volume, so a growing store does not face escalating cost.
- The fourteen-day trial is long enough for the analysis to populate against real history, which shorter trials elsewhere in this category are not.

Value assessment: At $59 to $249 this is priced above the cheap RFM apps and below the analytics suites, and what the premium buys is interpretation. By the Numbers gives more raw segmentation surface for $19 and syncs to more ad platforms; Repeat gives deeper repurchase and cohort analysis with written advice attached and a decade of continuous operation behind it. For a consumables brand where the second order decides the business, the analysis depth is worth the difference. For a store that mainly needs audiences pushed into Meta and Google, it is not, because those syncs do not exist here.

## Strengths

- Written advice tied to the store's own metrics, which is the interpretation layer almost every competing tool leaves to the operator.
- Deep repurchase and cohort analysis built specifically for consumables and CPG, where the second order determines the business.
- Product-level insight into which items drive retention and average order value, not just revenue.
- Automatic Shopify customer tagging and Klaviyo sync, so segments drive both store logic and email flows.
- A decade of continuous operation on the App Store, since May 2016, which is rare in this market.
- Support answered by the developer who built the product, typically within a business day.
- Full order history analysis on higher tiers rather than a trailing window.
- Flat pricing that does not escalate with order volume.

## Limitations

- No sync to Meta, Google Ads, or TikTok, so paid social and search audiences must be handled elsewhere.
- Shopify only, with no support for other ecommerce platforms.
- Customer tagging requires the $99 tier, and the $59 plan is limited to two years of history.
- Considerably more expensive than the cheapest RFM apps in this category.
- A small public review base even after ten years, which makes third-party verification thin.
- The interface is functional rather than polished, reflecting a one-developer software business.
- A single-person vendor carries concentration risk, however long the track record.
- Of limited use to considered-purchase or durable-goods stores where repurchase is naturally rare.

## Comparisons

- **Repeat Customer Insights vs By the Numbers**: Depth against breadth and price. By the Numbers costs $19, syncs hourly to Klaviyo, Meta, Google, and TikTok, and ships wider reporting. Repeat Customer Insights costs $59 to $249, syncs only to Shopify tags and Klaviyo, and goes far deeper on repurchase intervals, loyalty funnels, and product influence on retention, with written advice attached. Consumable brands usually get more from Repeat; stores that mainly need cheap audience syncing should take By the Numbers.
- **Repeat Customer Insights vs Segments by Tresl**: Both are Shopify RFM tools with different jobs. Tresl is about activation: describe a segment in plain English and have it live in Klaviyo, Meta, Google, and TikTok the next day. Repeat is about interpretation: why customers lapse, which products bring them back, and what to change. Understand the problem with Repeat, distribute the audiences with Tresl, and stores serious about retention sometimes run both.
- **Repeat Customer Insights vs Lifetimely**: Complementary rather than competing. Lifetimely answers the financial question of whether the business is profitable after cost of goods and ad spend, with cohort lifetime value attached. Repeat answers the behavioral question of why customers do or do not come back and what to do about it. A consumables brand with budget for one should pick by whether the current gap is margin visibility or retention diagnosis.
- **Repeat Customer Insights vs Klaviyo**: Klaviyo is where the segments land and act, not a substitute for the analysis. Its own segment builder handles email behavior well but does not model repurchase intervals, loyalty funnels, or product influence on retention. Repeat feeds Klaviyo with segments derived from deeper analysis, which is the standard pairing for consumable brands running replenishment flows.
- **Repeat Customer Insights vs Churnkey**: Different retention problems entirely. Churnkey works on subscription cancellation, intervening at the moment somebody tries to leave. Repeat Customer Insights works on repeat purchasing for stores selling one-off orders of consumable goods, where there is no cancellation event to intercept and the loss is silent. Subscription brands often need both; one-time-purchase brands need this one.

## Implementation

- Setup time: Minutes to install, then a first analysis pass over the store's order history. Meaningful output arrives the same day, with the fourteen-day trial covering enough time to validate it against what you already believe about the store.
- Learning curve: Low to moderate. The written advice absorbs most of the analytical burden, which is the point of the product. What takes work is acting on it, since replenishment timing and merchandising changes have to be implemented in Klaviyo and the store itself.
- Onboarding: Fully self-serve through the Shopify App Store with a fourteen-day trial, published pricing, and support from the developer directly.
- Migration: Analysis is derived from Shopify order data that stays in Shopify throughout, so nothing is locked in. Shopify customer tags written by the app persist after uninstall, and Klaviyo segments retain their last synced state. Top-tier API access allows the analysis to be pulled into a warehouse if you want a copy of it before leaving.

## Platform, API & security

- Platforms: Shopify app, Web dashboard, Scheduled email reports
- API: API access is available on the top tier for pulling analysis into a warehouse or internal tooling. It is not available on the lower plans, so treat programmatic access as a Peak-tier capability rather than a general feature.
- Compliance: Operates on Shopify order and customer data under the store's own privacy obligations, Customer tagging writes back to Shopify, so segment membership becomes part of the store's own customer records, Installed through the Shopify App Store under Shopify's app review and data handling requirements
- Data residency: Not published as a selectable option.
- SSO: Authentication runs through the Shopify account.
- Security notes: Permissions follow Shopify's app model and can be revoked by uninstalling. The vendor is a single-developer business, which means fewer formal security certifications than a larger company would carry and, in exchange, a very short line to the person accountable for the code.

## Support

- Channels: Email support answered by the developer, In-app support, Premium support on the Peak tier
- Documentation: A knowledge base plus a long-running library of articles on RFM segmenting, loyalty funnels, and repeat-purchase analysis for Shopify stores.
- Community: No public forum. A 5.0 App Store rating across a small number of reviews, with support responsiveness the recurring theme.

## Company

- Founded: 2008
- Founders: Eric Davis
- Headquarters: United States
- Ownership: Independently owned by its founder, bootstrapped
- Employees: One-person software business
- Funding: No outside funding. Little Stream Software began as a consultancy of one around 2008 and now publishes several Shopify apps, including JSON-LD for SEO, which the vendor describes as a top fifty Shopify app.

Timeline:

- 2008: Eric Davis starts Little Stream Software as a one-person consultancy, later moving into Shopify app development.
- 2016: Repeat Customer Insights launches on the Shopify App Store in May, focused on RFM and repeat-purchase analysis for consumable brands.
- 2020: Automatic Shopify customer tagging and Klaviyo syncing turn the analysis into segments other systems can act on.
- 2023: Product-level analysis expands to cover how individual products and variants influence retention and average order value.
- 2026: The app enters its tenth year of continuous operation with three published tiers, scheduled reporting, and API access at the top plan.

## Integrations

Shopify, Klaviyo, Shopify customer tags, Scheduled email reports, API on the Peak tier

## FAQ

### What does Repeat Customer Insights do?

It analyzes a Shopify store's order history to score customers on recency, frequency, and monetary value, track acquisition cohorts, measure the loyalty funnel, and identify which products bring customers back. Segments sync automatically to Shopify customer tags and Klaviyo, and the app generates written advice tied to the store's own metrics.

### How much does it cost?

$59 a month for Entrepreneur with two years of order history, $99 for Growth which adds customer tagging, full history, and variant analysis, and $249 for Peak with advanced analytics, API access, and premium support. There is a fourteen-day free trial and billing runs through Shopify.

### Who is this really built for?

Consumer packaged goods and consumable brands, where customers should reorder on a predictable cycle and the second and third orders decide whether the business works. Stores selling considered, durable, one-time purchases will find the repurchase analysis has little to work with, and should look at a general analytics tool instead.

### Does it sync segments to Meta or Google Ads?

No. Activation runs through Shopify customer tags and Klaviyo only. If you need the same audience live in Meta, Google Ads, and TikTok, By the Numbers or Segments by Tresl handle that and this app does not. It is a genuine limitation rather than a roadmap detail.

### What makes it different from cheaper RFM apps?

The interpretation. Most tools give you a matrix and leave the conclusion to you. This one generates written advice against your actual numbers, tracks repurchase intervals and loyalty funnels rather than only scores, and measures which products influence retention. For an operator without an analyst, that is usually the difference between a report and a decision.

### Which tier do I actually need?

Most brands should evaluate Growth at $99 rather than the entry plan. Customer tagging, which is what lets segments drive anything outside the app, starts there, and so does full order history. The $59 plan is diagnostic: useful for understanding the problem, limited for doing anything about it.

### How stable is the vendor?

Unusually so for this market, with the caveat that it is one person. Little Stream Software has operated since around 2008 and this app since May 2016, which is a decade of continuous shipping while most competitors are three years old. Support is answered by the developer directly. The concentration risk of a single-person business is real and should be weighed against that record.

### Does it work on platforms other than Shopify?

No. It installs as a Shopify app and reads Shopify data, so stores on WooCommerce, BigCommerce, or a custom stack cannot use it.

### How much order history do I need?

Enough for repurchase patterns to exist, which for consumables usually means at least a year of trading and a few thousand orders. Note that the entry plan analyzes only two years of history, so long-cycle products may need the Growth tier to see the pattern at all.

### Can I get the data out?

Yes, in three ways. Segments write back to Shopify as customer tags that persist after uninstall, Klaviyo retains its last synced segments, and the Peak tier includes API access for pulling analysis into a warehouse or internal tool. The underlying order data never leaves Shopify in the first place.

## Editorial verdict

Repeat Customer Insights is the most analytically serious tool in this category and the one most likely to change what a consumables brand actually does. Repurchase intervals, loyalty funnels, and product-level influence on retention are the measurements that decide whether a CPG business compounds, and the written advice layer converts them into decisions in a way no competing app attempts. The limitations are specific and easy to check against your own needs: activation stops at Shopify tags and Klaviyo, with no Meta, Google, or TikTok syncing, and the useful tier is $99 rather than the $59 headline. The vendor is one developer, which is both the reason support answers within a day and the risk you accept. If the second order is what your business runs on, this is the tool to buy; if you mainly need audiences in ad platforms, buy elsewhere.

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Source: SaaSTracker (https://saastracker.org), an independent editorial project. This profile is compiled from public information, carries no peer reviews or paid placement, and was last reviewed 2026-09-02. Awards are judged on published criteria: https://saastracker.org/methodology