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What is TrueLoyal?
TrueLoyal is customer loyalty software for consumer brands that sell both online and on shelf. It bundles rewards, tiered programs, referrals, receipt scanning, reviews and user-generated content, churn prediction and first-party consumer data into one platform, so a brand can run a single loyalty program across ecommerce, retail, third-party stores and distribution rather than treating each channel separately.
Its stated focus is behavior change rather than discounting. Instead of rewarding a purchase the customer would have made anyway, the platform is built around earning rules for actions a brand wants to encourage: the next purchase, a referral, a review or a social post. Missions and streaks are meant to keep members engaged between purchases, and scanned receipts tie offline purchases back to a known member. The payoff it claims is margin protection plus data that shows whether the program actually shifted behavior.
Who it fits
- CPG and retail brands whose customers buy in stores as well as online, and who need receipt scanning to connect those purchases to a member profile.
- DTC brands wanting referrals, reviews and UGC alongside points and VIP tiers.
- B2B brands selling through distribution, where the end customer is otherwise invisible.
- Teams short on loyalty expertise, since program strategy and managed program operations are offered as services alongside the software.
Trade-offs to weigh
An all-in-one platform means less assembly work but also less freedom to pick best-of-breed tools for each function; if you already have a strong reviews or referral vendor, check how TrueLoyal handles that overlap. Receipt scanning and gamified missions add real value for shelf-based brands but add operational complexity that a purely online seller may not need. And behavior-changing programs require someone to design and tune the earning rules — the software supplies the mechanics, not the strategy.
Next step
List the customer actions you actually want more of — repeat purchase, referral, review, receipt submission — and the channels those happen in. Then compare that list against the platform's rewards, receipt scanning and advocacy features on TrueLoyal, and check Pricing to confirm the plan covers the channels you sell through.
How does TrueLoyal help brands change customer behavior instead of just issuing discounts?
TrueLoyal is built around earning rules rather than blanket discounts: brands reward specific actions they want repeated — the next purchase, a referral, a review, a post, or a scanned in-store receipt — instead of only marking down the purchase a customer would have made anyway. That distinction matters because a discount-only program tends to train customers to wait for promotions, while an action-based program gives the brand something measurable in return: a known member, a first-party data point, and evidence the behavior actually happened.
What changes in practice
- Between purchases: missions and streaks keep members participating instead of going silent until the next sale.
- Offline purchases: receipt scanning ties an in-store or third-party purchase back to a known member, so retail and distribution sales become part of the loyalty record rather than staying invisible.
- Advocacy: referrals, reviews and user-generated content are rewarded as first-class actions, not side features.
- Targeting: churn prediction and first-party consumer data let a brand decide who gets which offer, rather than discounting to the whole list.
How to judge whether this fits you
The platform is aimed at consumer brands selling both online and on shelf — CPG, retail, DTC and B2B — so the receipt-scanning and omnichannel angle is most valuable if a meaningful share of your revenue happens outside your own checkout. If you sell purely through one DTC storefront, the offline and distribution capabilities will matter less, and the reward-rule flexibility becomes the main draw.
A useful next step is to write down three behaviors you would pay to repeat — for example, a second purchase within 60 days, a product review with a photo, or a referral that converts — and check whether the platform's earning rules can express each one without a custom build. If the answer is yes for all three, the program can be measured against revenue rather than against discount spend. You can see how the mechanics are described at TrueLoyal and check current plan details on its pricing page.
How does TrueLoyal handle loyalty for brands that sell both online and in physical retail stores?
TrueLoyal is built specifically for that split: it treats online orders and in-store purchases as activity from the same member, rather than running two disconnected programs. The platform combines rewards, receipt scanning, referrals, reviews, UGC, churn prediction and first-party consumer data in one system, and the page positions it for brands selling across ecommerce, retail, third-party stores and distribution.
How the online and offline sides connect
- Receipt scanning for offline purchases. In-store buys are normally invisible to an ecommerce loyalty account. TrueLoyal's receipt scanning ties a scanned receipt to a known member, so a shelf purchase can earn points or trigger a reward in the same account as an online order.
- Earning rules beyond the transaction. Points, VIP tiers, member benefits, promotions, milestones and personalized earning rules can be attached to purchases and to other actions the brand values, such as a referral, review or post.
- Between-purchase engagement. Missions and streaks are designed to keep members participating when they aren't buying, which matters more for brands whose retail customers may go weeks between trips.
- One consumer profile. Rewards, advocacy activity and first-party data sit together, so segmentation and churn prediction draw on both channels instead of only the web store.
Why this matters for a dual-channel brand
The practical test is whether a customer who buys in a store this month and online next month is recognized as one person. If not, the online program discounts people who would have bought anyway while the retail buyer stays anonymous. TrueLoyal's stated aim is behavior-changing loyalty: paying for the next purchase, referral, review or post rather than the purchase that was already going to happen, with data to measure it against revenue.
Decide by your retail setup
The approach fits best when store purchases can plausibly be captured, for example through receipts, and when you have the operational capacity to review and validate them. If most of your retail volume runs through third-party stores or distributors where you never see the end customer, expect the offline side to be partial and plan incentives around what you can actually verify. A useful next step is to map one real customer who shops both channels and trace whether your current setup can identify that person and credit both purchases in a single account. TrueLoyal's own platform overview and pricing pages are the place to check how receipt scanning and earning rules are configured before committing.
What loyalty features does TrueLoyal offer for collecting first-party consumer data and predicting churn?
TrueLoyal bundles first-party data collection and churn prediction into one loyalty platform rather than treating them as separate tools. Its stated approach is behavior-changing loyalty: rewards, referrals, reviews, receipt scanning, UGC and brand communities all generate member-level data, and churn prediction plus AI review summaries sit on top of it.
First-party data collection features
- Receipt scanning ties offline and on-shelf purchases to a known member, so retail and third-party store sales become attributable to a person rather than staying invisible.
- Rewards and earning rules can be attached to any action worth incentivizing, not just purchases — the platform explicitly frames this as capturing the next purchase, referral, review or post.
- Referrals and UGC turn advocacy into structured, member-linked data instead of anonymous social mentions.
- Reviews and AI review summaries consolidate customer feedback into a usable signal.
- Brand communities and fan club mechanics keep members engaged between purchases, which is where most loyalty programs collect nothing.
Churn prediction
Churn Prediction is listed as a named platform capability. Combined with member-level purchase and engagement history, it is positioned to flag members whose behavior is drifting before they lapse — the practical use case being a triggered reward, mission or streak rather than a blanket discount to everyone.
How to judge fit
The real question is whether your sales happen where TrueLoyal can see them. If most revenue runs through ecommerce or DTC, data capture is straightforward. If it runs through grocery, mass retail or distributors, receipt scanning is the feature that determines whether your first-party data is complete or a partial view.
A quick test: pick one behavior you want to increase — a second purchase within 60 days, or a review after delivery — and ask whether the platform can reward it, attribute it to a member, and surface churn risk for members who skip it. If all three are yes, the data layer is doing real work. Pricing is published at TrueLoyal Pricing if you want to check tier limits before a demo.
How does TrueLoyal's pricing work for consumer brands?
TrueLoyal does not publish a simple per-month price. Its pricing page is a request-a-demo path, and the platform is positioned around loyalty program operations rather than a self-serve checkout. That usually means the cost is scoped to your setup: which channels you sell through, how many members you expect, which modules you switch on, and how much operational help you want.
What shapes the cost
- Channel complexity. The platform covers ecommerce, retail, third-party stores and distribution. A brand selling only through its own DTC site has a simpler setup than one that also needs receipt scanning to capture in-store purchases.
- Which capabilities you use. Rewards, tiered programs, referrals, receipt scanning, reviews, UGC, churn prediction and first-party data are described as parts of one platform. A program using points and tiers alone is a narrower scope than one layering in advocacy and AI features.
- Member volume and activity. Loyalty pricing commonly scales with enrolled members or active participants, since more members mean more transactions, redemptions and data to process.
- Services and operations. TrueLoyal lists program strategy, managed services and loyalty program operations alongside the software. If you want the vendor to run or optimize the program, that sits on top of the platform fee.
How to get a real number
Go to TrueLoyal and book a demo, then ask for a written quote broken into platform fee, usage or member tiers, and services. Bring your expected member count, your sales channels and the specific modules you need, so the quote maps to your actual program rather than a generic package.
A practical decision test
If you sell mostly DTC and want a lightweight points program, compare TrueLoyal against self-serve loyalty apps that publish monthly prices. If you sell on shelf as well as online, need receipt scanning to connect offline purchases to known members, and want advocacy and retention tools in the same system, the demo-led model is more likely to fit. The trade-off is clear: less price transparency up front, but a program configured around your channels instead of a fixed template.
Which industries and brand types does TrueLoyal serve, such as CPG, DTC, and B2B?
TrueLoyal is built for consumer brands that sell both online and on shelf, and it names its core industry focus directly: CPG, DTC, B2B, plus retail, beauty and health, pet supplies, and automotive. The unifying thread is not a single sector but a purchasing pattern — brands whose customers buy through more than one channel, such as their own ecommerce store, third-party retailers, or distribution partners.
Who each label describes
- CPG brands: Products typically bought in stores rather than on a brand's own site. Receipt scanning matters here, because it ties an in-store purchase back to a known member.
- DTC brands: Brands selling mainly through their own ecommerce storefront, where rewards, referrals, reviews, and UGC sit closest to the transaction.
- B2B brands: Businesses whose "consumer" is a trade buyer or reseller, where loyalty is about repeat ordering and channel relationships rather than one-off discounts.
- Retail and shopping brands: Businesses with their own storefronts or mixed online/offline footprints.
- Beauty, health, and pet supplies: Categories with repeat purchase cycles and subscription-like behavior, where keeping members engaged between purchases is the main challenge.
- Automotive: A longer consideration and ownership cycle, where loyalty extends past the initial sale.
How to decide if you fit
The clearest fit is a brand that sells through at least two of these routes — say, a DTC site plus retail distribution — and loses visibility of the customer once the product leaves its own checkout. That is where receipt scanning, member identification, and first-party consumer data do the most work.
If you sell purely through one channel with no offline or third-party sales, the omnichannel features will matter less, though rewards, referrals, and churn prediction still apply.
A practical next step: list every place a customer can buy from you, then note which of those you can currently attribute to a named person. Any gap in that list is the part of the platform worth evaluating first.
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