What's new?

In July, we went back to what we do best: building models that turn purchase data into an advantage previously reserved for the biggest retailers. We designed new ways to isolate the real impact of our engagement initiatives, mapped how shoppers move between segments over time, and used performance signals from our own outreach to make every campaign smarter.

Faster, more scalable campaign-performance reporting

We strengthened the data foundation behind campaign reporting with structured recipient and attributed-transaction datasets. This supports more reliable analysis by campaign, banner, and treatment/control group, with daily refreshes and seven-day attribution. Clients also have transparency into the impact of Goodlight AI on hibernating shoppers.

Refreshed email experiences across the platform

We rolled out a refreshed email-template system across our customer programs. Nudge, shopping-list, and reactivation messages now use updated layouts, branding components, and footers that adapt to each retailer’s visual identity.

Enhanced product imagery for shopper communications

We completed another product-image processing batch, using a workflow that selects popular, marketable products, removes duplicates, adds department context, and publishes completed imagery to our databases—so shoppers receive enticing product images that encourage them to come back.

Smarter offer and coupon matching

We completed the initial offer-and-coupon matching capability, including product embeddings and message-template support to help shoppers discover relevant promotions more easily. So if you run coupons on thousands of SKUs, you can avoid bombarding a shopper with offers they don’t care about.

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If you haven’t connected with us yet, have a no-obligation conversation with us to determine if a pilot makes sense. Contact us here.

June was a busy, busy month. Built with the support and blessings of our early customers, we started a limited pilot of Jenny—our AI agent that acts as your social media marketer. It is one of our most ambitious launches yet.

An AI social media marketer that understands your brand, creates social content, and posts on your pages

Meet Jenny—our (first) AI social media marketer, turning retailer strategy, products, and weekly offers into social content.

It supports:

• Social strategy and content planning, including the design and copy nuances that make each banner work.

• Creative concept development for retailer brands and shopper audiences, at scale.

• Conversion of weekly-ad offers into polished, shareable social posts.

• Transformation of product information into Instagrammable stories built for mobile-first engagement and stronger results.

• Scheduling finalized posts on social media pages.

The result is a faster creative workflow that helps retailers show up consistently across social channels. The agent is already in action, helping produce acquisition assets at a pace that would be difficult to sustain manually. Human review and brand cleanup remain part of the process, giving teams the best of both worlds: AI-powered speed and creative control.

We’re excited to keep expanding what retailers can do with their existing product, offer, and customer data. We will leave you with some samples of our work.

Converting weekly ad screenshots into shareable social content:

Converting product information into a shareable story/reel:

Smarter product matching creates more relevant offers and recommendations

We’re improving how retailers’ product information is understood. We’ve added a new way to recognize when different product names refer to the same kind of item. This helps the system understand products even when stores use different names.

This creates a stronger foundation for:

• Matching products across stores and systems.

• Keeping product catalogs cleaner.

• Finding relevant offers and coupons.

• Making recommendations more useful for shoppers and retailers.

The work is rolling out banner by banner. It may sound like behind-the-scenes infrastructure, but the impact is massive: better product data should lead to more accurate, relevant shopping experiences.

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If you want (second) dibs on our acquisition agent and what it can do for you, hit us up. We love to talk.

May was a good month: one of our banners hit a 49% open rate and drove $80,000 in incremental revenue from email alone.

Our most major upgrade: our Agents no longer work behind the scenes, they work with your team (and ours) to solve your most critical challenges.

An AI Concierge for your loyalty customers

The AI concierge is a shopping guide for loyalty members, making everyday grocery decisions faster and easier. It answers practical questions in plain language—what to cook tonight, what to stock up on for the week, what pairs well with items already in the cart, or how to swap ingredients based on preferences—helping shoppers decide what they need before they even step into the store.

It’s built to feel like a calm, trusted in-store helper: warm, efficient, and trained on your data and business context—you can even give it a personality that reflects your brand voice.

Behind the scenes, the AI concierge connect to our machine learning models, shopping history, preferences, as well as external resources like social media, weather, and location data.

The part I’m most excited about in our approach? There is no app to download. Your shoppers simply text the concierge like they were texting a friend.

Your shoppers now receive only the offers they care about

A typical Weekly Ad can be up to 10 pages long and run offers on 8,000 SKUs. It's a lot for a shopper to sift through.

Enter Goodlight AI's new Offers Matching product. With our proprietary offer-matching model, we can deliver a shortlist of only the offers your individual shopper will care about. People without pets won't receive pet food offers, while people who need gluten free products will have those offers surfaced up top instead of them being buried within the ad pages.

These offers can go out in emails, SMSes, and app push notifications. Here's what an email looks like:

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If you aren’t using the treasure trove of data you have to make your shoppers’ lives better yet, please hit us up. Our team would love to help.

April was a milestone month for us. Goodlight AI is now sending over 1 million emails per month — each one hyper-personalized to the individual shopper receiving it. Not batch-and-blast. Not segmented campaigns. A million unique conversations, running autonomously every month. And as more shoppers join our clients' loyalty programs, that number will only grow.

The rest of the month was spent making the engine smarter: cleaner product data, better subscription controls, and a new approach to winning back shoppers who'd gone dormant. Read on for the details.

Win Back Campaigns for Hibernating Shoppers

Every retailer has shoppers who came in, bought a few times, and then disappeared. Reactivating them is tricky — you don't have much to go on, so personalization is hard and generic "we miss you" emails rarely work.

This month, we built out a dedicated reactivation campaign for these shoppers. The system identifies a top product pick for each shopper persona using our proprietary machine-learning models and builds the email around that — specific enough to feel personal, without needing a full behavioral history to do it.

Integrated Channel Preferences

Shoppers who want to opt out of personalized marketing emails or texts can now do so directly through the Unsubscribe link in their emails — no need to dig into loyalty account settings. Think of it as a second layer of control that sits alongside the subscription settings on your loyalty page, making it easier for shoppers to manage their preferences and easier for you to stay on the right side of their inbox.

Smarter Product Data, Automatically

Product names in retail POS systems are messy — truncated, inconsistently capitalised, missing brand context. Getting them right matters because they show up directly in your shoppers' emails. This month, we automated the full pipeline that keeps our product catalogue clean and current.

Four workflows now run on a daily schedule: pulling in updated product images, enriching existing items with verified brand, category, and ingredient data, re-evaluating which products are actually marketable using AI, and automatically onboarding new PLUs as they appear in your POS sales data. The whole thing runs without anyone touching it.

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Every retailer we talk to is sitting on years — sometimes decades — of inventory, sales, and purchase data. Most of it goes unused. We think that's a shame, because the path to real incremental growth is usually buried in there somewhere. If you'd like to dig in, we're always happy to chat.

March was a quieter month on the surface — but underneath, the team was deep in backend work: infrastructure upgrades, pipeline improvements, and laying the groundwork for what's coming next. On the visible side, we shipped two meaningful additions: a full SMS program capability for your loyalty shoppers, and a refresh to how your email campaigns look. And while we can't say too much yet, we're actively building a new generation of AI agents — some that work on behalf of your shoppers, and others that work on behalf of you. More on that soon.

Introducing SMS Programs for Your Loyalty Shoppers

SMS is one of the highest-ROI channels in retail — open rates dwarf email, and messages land in the same place your shoppers already live. But for most retailers, it's still a missed opportunity. Starting this month, Goodlight AI can now stand up a full SMS program for your store, built to work seamlessly alongside your existing loyalty program. We handle everything: sign-up flows, loyalty identification, opt-in management, and ongoing message orchestration — all in your brand voice. If you're not currently sending SMS to your shoppers, reach out and let's talk about what's possible.

Dynamic Email Headers for Fresher, On-Brand Campaigns

We’ve rolled out a new set of auto-generated email templates that keep your campaigns visually fresh without extra design work. Header images for both Nudge and Shopping List emails now update daily, with different creatives per program and per retailer, generated afresh every day - so every send feels new and on-brand while your team stays focused on strategy instead of production.

As always, if you want to dig into any of these updates or talk through what's possible for your stores, just reach out — we're always happy to chat. And if you're not already sending SMS to your shoppers, now is a great time to get started. The best time to plant a tree was 20 years ago; the second best time is now.

February was a big month for us. We've been heads-down building features that our clients have been asking for—and honestly, we're really excited about what we shipped. From cleaner product names to better images to proving exactly how much revenue your emails drive, everything we built this month makes the experience smoother and more impactful. Here's what's new.

Measure the real impact of your personalized emails

Your dashboard now shows incremental impact reporting—compare shoppers who receive Goodlight AI emails against a control group to see the true lift in sales, store visits, and spending. The new charts make it simple to prove ROI and justify investment in 1:1 campaigns.

Clean product names, every time

We built a centralized product repository to fix awkward names in emails. Working directly with your teams, we've corrected brand spellings and removed technical jargon from cryptic POS codes. Your shoppers now see exactly what's on your shelves—no more confusion.

Professional product images that pop

Emails now feature AI-enhanced product images with clean, branded backgrounds. We've organized images by department (dairy, grocery, frozen, bakery, produce, meat) and matched them to the correct PLU codes. The result: a polished, consistent look that reinforces your brand.

Fresh recommendations, never repetitive

Our recommendation engine now logs the last three products sent to each shopper and automatically excludes them from future emails. Every message introduces something new and relevant, keeping your loyalty members engaged without fatigue.

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These updates are just the beginning. We're building toward a future where personalized marketing is effortless, measurable, and impossible to ignore—giving every retailer the tools that were once reserved for the biggest players. If you'd like to explore new use cases, expand into more stores, or simply see what's possible next, reach out to us. We're here to help you win.

The team at Goodlight AI has been up to some incredible things. Starting 2026, we will begin to share our progress every month - so you know what to expect in the coming months.

Always on, 1:1 conversations with your shoppers

Over the last few months, we have sent almost a million emails out to loyalty shoppers. With open rates hovering around 45%, our intent-based messaging infrastructure has been instrumental in driving new sales from your loyalty base.

At of January 2026, our emails are completely autonomous: our models decide when to send a shopper an email and what to talk about. All the while carrying your brand voice.

Transparent and live reporting on email performance

What gets measured gets improved. Personalized emails are only as good as the sales they drive. Our impact measurement models are now live: sales performance from your 1:1 emails are compared against a Control Group to answer the question: “How much more in sales did we do, compared to if we had continued down our current path?”

The Goodlight AI dashboard now helps you identify the impact of the emails we send—how they improve your purchase rates, repeat visits, and spending.

A business dashboard you can trust

Business decisions need to be made in time - you can't wait three weeks for someone to collect the data, so you can make an informed decision. The Goodlight AI revenue dashboard is a simple, clear way to see how a store is doing. In one screen, you can quickly check if sales are going up or down and how different parts of the store are performing. It turns lots of complex data into easy charts and numbers so teams can understand what is happening and decide what to do next.

Do you operate multiple banners? We've got your back.

Previously, you could filter revenue metrics by store. Now, you can also view performance across all your banners. This lets you measure each banner, store, and Store Director from one central place.

Our vision is simple: every retailer, no matter their size, should have the same quality of tools as the biggest players in the world—and a partner who obsesses over their success. That’s what we’re building with Goodlight AI, and we’d love for you to be a bigger part of it this year. Reply if you’d like to try a new use case, bring Goodlight into more stores, or simply see what’s possible now.