Real-time marketing: How brands respond to customers in the moment

Real-time marketing: How brands respond to customers in the moment

Real-time marketing is responding to a customer, a moment, or an event as it happens, rather than on a campaign calendar.

The term “real-time marketing” covers trend response, where a brand reacts to a trend or news event, and behavior response, where a message answers something an individual customer just did. This guide explains both and goes deep on behavior response, with examples for consumer brands to see how it works.

TL;DR

• Real-time marketing is responding to a customer, a moment, or an event as it happens, rather than on a campaign calendar.
• Real-time marketing includes brand-level trend response to shared cultural moments, and customer-level behavior response to customer actions.
• Behavior response depends on customer data that streams in as it happens, segments that refresh as that data changes, event triggers, and limits like frequency caps and quiet hours.
• Common pitfalls include messages that feel like surveillance, too many messages across channels, unreviewed trend responses, and stale data, but there are guardrails to prevent these.
• To measure success, track responses within the moment window, conversions against the trigger, opt-outs and complaints, and lift against a holdout group that gets the slower version.

What is real-time marketing?

Real-time marketing is responding to a customer, a moment, or an event as it happens, rather than on a campaign calendar.

A brand can respond to a widely and culturally shared moment or to something an individual customer does.

Brand-level real time means reacting to trends and live events to catch the attention of customers who aren’t engaging with the brand right then. A food delivery app might send a push notification with a halftime offer during a cup final, or a fashion brand might send an email that picks up the format or conversation everyone is talking about that week, written in its own voice. One message reaches a broad audience, and it only works if it’s seen while the moment is live.

Customer-level real time means a message answers something one customer just did, like browsing a product, leaving items in a cart, arriving near a store, or reaching a loyalty milestone. The message arrives while that action is still on the customer’s mind, which gives it contextual relevance.

At either level, real time is not necessarily about things happening instantaneously, but about knowing when the right time is to send something. A beautifully written and designed email won’t have the effect you want if it arrives at the wrong time.

The two kinds of real-time marketing, and who each is for

Whether a brand leans on brand-level trend response or customer-level behavior response depends on its goals and KPIs, its maturity, and what its systems can do, including how data is read and stored and whether the tools in its tech stack can talk to each other.

Trend response for brand-level moments

Trend response hooks into whatever is culturally relevant at the time. That might be a news story (known as newsjacking), a live event, a film launch, a new album, or a design or format that has recently caught on. Joining the moment gives a brand the chance to win more attention and, if its take catches on, an element of virality that puts even more eyes on the brand.

It’s also hit or miss. Nobody knows exactly when a trend will run out of steam or whether a brand’s take on it will resonate. Opportunities depend on what’s happening at any given time, and not every trend fits every brand, so trend response tends to be sporadic. It also needs an approval chain short enough to publish while the moment is still live, and a team comfortable with the misses that come with speed.

Most trend response happens on social media, where the conversation is. The same instincts can carry into push notifications and email when a moment matters to a brand’s customers.

Best for: Brand and social teams with a distinctive voice, a fast approval path, and the appetite for creative risk.

Real-time customer engagement for individual moments

Behavior response runs all the time. It’s a far more personalized approach that waits for the customer to lead. Every browse, cart, location change, or milestone is a chance to send something useful to an individual and drive their next interaction with the brand. Each message is set up once and triggered by the customer’s own action, so the same program can run across millions of individual moments.

Unlike brand-level trend response, which relies on editorial reflexes, customer-level real-time marketing needs to know each customer’s behavior as it happens and have systems that act on that data automatically. What each message says, and how it adapts to the person receiving it, is the work of real-time personalization.

Best for: Lifecycle, CRM, and growth teams responsible for engagement and retention across the customer lifecycle.

Most enterprise consumer brands need behavior response as the everyday basis of their customer engagement. They turn to trend response when a moment suits both the brand and its customers.

Real-time data in marketing: What your systems need to do

Many marketing tools describe themselves as real-time when they’re only referring to one part of the process. A platform might be able to send a message instantly, for example, but be working from customer data that’s hours old. The steps below show the infrastructure each part of a system needs to work for a message to be relevant to a single customer in the moment.

1. Stream customer events as they happen

Every time a customer views a product, adds something to their cart, opens the app, or makes a purchase, that’s an event. With streaming data, those events reach the customer’s profile within seconds, along with session data such as what they’re looking at right now.

A lot of systems still collect behavioral signals in batches, every few hours or overnight. By the time the data arrives, the moment it describes is over.

2. Refresh segments as the data changes

Segments group customers by what they’ve done, like everyone who added something to their cart in the last hour. Real-time marketing needs those segments to update as soon as the data changes, so customers move in or out the moment their behavior does.

Say a customer leaves an item in their cart, then comes back and buys it 20 minutes later. With a segment refresh that runs as data changes, the purchase takes them out of the cart-abandoned segment before the reminder goes out. If segments only refresh overnight, they’ll get a reminder to buy something they already own.

3. Use event-triggered marketing

Event triggers let a customer’s action start the message. When someone places their first order, for example, that event can prompt right-time messaging, like a welcome journey for new customers.

The trigger also puts the brand in control of timing. The message can go out the moment the event happens, which suits in-the-moment offers, or after a set wait, such as a request for a review a few days after purchase, once the order has arrived.

4. Set frequency caps and quiet hours

More triggers mean more messages, and without limits, a customer can quickly get too many. Frequency capping limits how many messages a customer receives in a set period. When caps count messages across all channels, the combined total from email, push, and SMS can’t go over the limit. Quiet hours stop messages from sending during a set window, such as 10 pm to 6 am, in each customer’s local time. Any message that would land in that window is either held and sent once it ends or canceled, depending on how the brand sets it up.

Braze is a customer engagement platform built to handle each of these steps. Customer data streams in as it happens, segments update as the data changes, and messages and journeys can trigger directly off customer events, with frequency capping and quiet hours applied to everything that goes out.

Real-time marketing examples

The examples below show the trigger behind each message, how the brand responds, and the different ways real-time marketing can play out across industries. Some are real examples from Braze customers, with the results they saw. Others are illustrative scenarios.

1. Abandoned cart reminder

Trigger: A customer leaves the site or app with items in their cart and doesn’t buy.

Message: An email arrives shortly afterward showing the exact items left behind. If the customer still hasn’t come back a day later, a push notification follows. If they buy at any point, they’re removed from the journey, and the reminders stop.

Why the timing matters: The reminder arrives while the customer still remembers what they wanted and why. The longer it waits, the easier it is for them to forget or buy somewhere else.

Best for: Retail and eCommerce brands with lots of shoppers browsing and leaving.

2. Back-in-stock alert

Trigger: A customer subscribes to a back-in-stock alert for an item.

Message: 24S, LVMH’s online luxury retailer, sends a message confirming the customer’s back-in-stock alert, along with four product recommendations selected by Braze AI Item Recommendations.

Why the timing matters: The confirmation goes out when the customer signs up, and the recommendations are there to keep them shopping while they wait for the item to be restocked.

Result: 24S saw “a 7% increase in add to cart rate in the last 6 months.”

Best for: Fashion and luxury retailers whose popular items sell out.

3. Price-drop notification

Trigger: The price falls on an item a customer has looked at, saved, or added to a wishlist.

Message: An email or push notification shows the item with its old and new price and links straight to it.

Why the timing matters: If price was what held the customer back, the message arrives the moment that changes.

Best for: Retailers that run regular sales or have wishlist features.

4. Location-triggered offer

Trigger: A customer who has the brand’s app, with location sharing turned on, comes close to a store.

Message: A push notification shows items they’ve saved or browsed that are in stock at that store, with an offer to use in person.

Why the timing matters: The customer is already nearby, so using the offer takes a short walk instead of a special trip.

Best for: Retailers and restaurants with physical locations and an app.

5. Delivery update that pauses promotions

Trigger: An order is confirmed, dispatched, out for delivery, or delivered.

Message: An SMS or push notification gives the latest update and a tracking link. Any promotional messages for that customer are held back until the order arrives.

Why the timing matters: Customers want to know the moment their order moves. A discount email arriving while they’re waiting on a late delivery can feel tone-deaf.

Best for: Retail, eCommerce, and on-demand brands that ship or deliver orders.

6. Loyalty milestone

Trigger: Joe & the Juice targeted customers “who had made three or more purchases in the last 30 days.”

Message: Email, in-app messages, and push notifications encouraged these customers to buy a loyalty card. Once someone bought one, they were removed from the campaign.

Why the timing matters: Three purchases in a month suggest a habit forming, which makes it a natural point to offer a loyalty card. Removing buyers once they’ve signed up means they don’t keep hearing about a card they already have.

Result: Joe & the Juice saw “an average 56% increase in revenue from loyalty cards in just over a year” and a “75% increase in loyalty card sales from May to September 2023.”

Best for: Restaurants, cafés, and food and beverage brands with frequent repeat customers.

7. Live-event push notification

Trigger: Something big happens in a live match, such as a last-minute winner or a record-breaking goal.

Message: A push notification goes to customers who follow that sport or team, linking to related products. Anyone who doesn’t open it gets an email that evening. The journey is set up before the season starts, so nobody needs to be at their desk when the moment comes.

Why the timing matters: Fans are most excited while the moment is still happening. The same message two days later feels like an afterthought.

Best for: Sports, media, and retail brands whose customers follow live events.

Several of these examples include a follow-up, like the push notification a day after an abandoned cart or the evening email after a live match. For messages like these, where the exact minute matters less, some brands let AI choose the send time.

foodora began testing Intelligent Timing, part of BrazeAI™, in its onboarding flow for new customers in Austria, moving away from pre-defined send times so each message goes out when that customer is most likely to engage. After expanding it to other regions and channels, and pairing it with a cross-channel strategy, foodora saw a 26% reduction in unsubscribe rates. Used this way, the customer’s action still starts the message, and AI chooses when it arrives.

Where a real-time marketing strategy helps or backfires

Real-time marketing happens quickly, and messages often send automatically. When something goes wrong, the damage can spread just as quickly. Marketing teams should know the most common pitfalls and the guardrails that can prevent them.

Delay messages that would feel like surveillance

A fast message triggered by a customer’s behavior isn’t always the best option. It can feel like surveillance, similar to being watched while walking around a store, and it can leave the customer uneasy.

To avoid this, add a delay so the message only sends once the session has ended, or a period of time afterward. That gives the customer time and space, and the brand can still reach them while it’s on their mind. Instant sends work for messages the customer expects straight away, such as order confirmations and delivery updates.

Cap messages across every channel

A cross-channel engagement program sends messages across several channels, which puts customers at risk of overexposure. If each channel has its own cap, they can all fire at once, and too many messages feel overwhelming rather than helpful.

Frequency caps that count messages from every channel toward one combined limit prevent this. Quiet hours stop triggered messages from arriving in the middle of the night, too. Frequency capping and quiet hours are the difference between a message that feels attentive and one that feels intrusive.

Give trend responses a quick approval path

Trend responses carry a different risk, because they go to a broad audience and depend on moments the brand doesn’t control. A push notification or email written in a hurry can misread the mood, rely on a joke that doesn’t land, or go out after a live event takes a serious turn.

A short, agreed approval path keeps the speed without skipping a vital review point. Someone takes responsibility for the message and signs it off, the brand agrees on topics it won’t touch, and someone has the authority to edit or stop a message if the situation changes.

Check the data before a trigger goes live

Real-time messages send automatically, so wrong or out-of-date data goes straight to the customer. For example, if an app-open event isn’t tracked properly, a “we miss you” message can reach someone who opened the app that morning. A message held overnight for quiet hours can go out based on what was true when it was triggered, even if the customer has since bought the item.

Validating the data before a trigger goes live, and checking it regularly afterward, confirms that messages use the customer’s most up-to-date profile and that the profile is updating in real time.

How to measure real-time marketing

Opens and clicks show that a message was seen. The measures below show whether sending it in the moment made a difference.

Response rate within the moment window

This is the share of customers who open or click within a set time after a message arrives, such as an hour for a cart reminder. The denominator, the number the responses are divided by, is messages delivered. If 1,000 messages are delivered and 50 people click within the hour, the response rate is 5%. If most people respond the next day, the timing isn’t what’s working.

Conversion against the triggering event

This shows whether customers did what the trigger was about, like buying the items left in their cart, within the attribution window. The denominator is the number of customers who received the message, including those who didn’t open it.

Opt-out and complaint rates

These are the alarms for over-sending. A jump in unsubscribes or spam complaints after a new trigger goes live usually means customers are getting too many messages, or getting them at the wrong time. For unsubscribe rate, the denominator is messages delivered. For spam complaint rate, it’s messages sent or delivered, depending on the platform. Gmail’s sender requirements, in place since February 2024, ask bulk email senders to keep their spam complaint rate below 0.1% and stop it from reaching 0.3%.

Incrementality through a holdout group

Conversion rates show what happened after a message, but they can’t show whether sending it faster made the difference. A holdout group is a random set of customers who keep getting the slower batch version, such as a next-day email, while everyone else gets the real-time message. The two groups’ conversion rates are then compared, with each group’s own customers as the denominator.

Lift = (real-time group’s conversion rate − holdout group’s conversion rate) ÷ holdout group’s conversion rate

If 6% of the real-time group converts and 5% of the holdout group does, the difference is 1 percentage point. Divided by the holdout group’s 5%, that gives a lift of 20%, meaning the real-time message drove a fifth more conversions than the batch version it replaced. It’s a way of judging a real-time program against the slower version of itself, and a platform with built-in control groups can run it as standard.

See how Braze triggers messages off what customers do, the moment they do it.