B2C email marketing: How to engage modern consumers

B2C (business-to-consumer) email marketing refers to campaigns sent by brands directly to individual consumers.

Reaching those consumers has become harder. Inboxes are more crowded and mailbox providers now require bulk senders to authenticate their mail to help prevent malicious messages and protect organizations from being impersonated. Gmail and Yahoo set their rules in 2024, followed by Microsoft in May 2025. Sending higher quality emails to an engaged audience is the goal. Higher-quality emails are also the best defense against AI intermediaries making it harder to reach a customer’s inbox.

Enhanced AI capabilities can serve that goal too, as it can now do more than draft copy. It can select the audience, timing and message itself.

This guide covers the campaign types that work, where AI fits in each of them, and what to measure.

TL;DR

• B2C email marketing reaches individual consumers at high volume, with short consideration windows and purchase behavior as the primary targeting signal, rather than the lead stages that drive B2B.
• We’ll discuss a eight campaign types that are triggered by something the customer does or by a seasonal or personal event, which is what separates them from a batch and blast to the whole list.
• AI does two separate jobs: generating a library of message variants, and deciding which individual gets which variant and when.
• Machine opens have made open rate a directional signal, so click-through rate, conversion rate and revenue per email are the numbers to judge a campaign on. A holdout group is the best way to know whether an email caused a purchase.
• Grubhub, Overstock, Pizza Hut, Motorway and Peacock show what these campaigns deliver in practice, from a 21% lift in revenue to a 20% reduction in churn.

What is B2C email marketing?

B2C (business-to-consumer) email marketing refers to campaigns sent by brands directly to individual consumers. They run differently from email aimed at a business audience because they have high volume, often running to millions of addresses, and consideration windows are short. Sometimes there are only minutes between a browse and a decision, which means communications need to be sent almost immediately to encourage action

Emotion and seasonality drive a large share of activity too, from birthdays and back-to-school months, to Black Friday and Christmas. Behavioral segmentation is the foundation, because purchase behavior is the primary signal. What someone bought, browsed or abandoned matters more than where they sit in a pipeline.

Here are a few examples of B2C email programs:

• Welcome and onboarding
• Browse and cart recovery
• Post-purchase and replenishment
• Loyalty and VIP
• Win-back
• Transactional

B2B vs B2C email marketing

While B2B and B2C email marketing campaigns share the same medium, they can differ widely. This has more to do with how the audience buys than the type of company. The audience behavior and buying cycle of B2C looks very different to that of B2B.

Sales cycle length

B2B email marketing typically supports longer, multi-step buying journeys. Messages are geared toward nurturing leads, sharing detailed information, and supporting high-value decision-making across teams.

In contrast, B2C email marketing is often geared toward quick actions, such as driving immediate sales and sign-ups, or engagement through up-to-the-minute and emotionally resonant content.

Tone and content

B2B emails tend to be focused on ROI or operational impact. B2B emails also often include resources like case studies or whitepapers. B2C emails lean on storytelling, visual appeal, and emotional triggers. They often include bold imagery, short copy, mobile-friendly layouts, and clear calls to action (CTAs.) In general, they're designed to be skimmed quickly and acted on fast.

It’s important to note that there has been a lot more overlap and less distinction of tone and content in recent years.

Examples in practice

• A B2B email might highlight cost savings across departments and ROI from a new software integration, over a multi-month nurture sequence.
• A B2C email might promote a 24-hour flash sale using a countdown timer and a 15% off code, sent just before lunchtime.

B2C Lifecycle email marketing campaigns that work, and where AI fits in each

Below are the campaigns that make up a consumer email program. Each one is triggered by something the customer does, or by a seasonal or personal event relevant to them. That’s what separates these emails from a batch and blast send to the entire list.

Welcome and onboarding

This is the sequence a subscriber receives after signing up. It sets expectations about what the brand will send and how often. It also introduces the value of being a subscriber and moves someone toward a first meaningful action while intent is still high. Two to four emails is a common starting point, with each one moving the customer further along and carrying a single job.

Trigger: A confirmed signup, a first app open or a first purchase, depending on where the relationship starts.

What good looks like: A first order or first key action within a time window that matters for your business and a low unsubscribe rate.

Where content generation helps: Producing variants by signup source and stated interest. Someone who joined for a discount code for example, and someone who signed up in store or bought online, all need slightly different welcome messages.

Where audience, timing and message selection helps: Deciding how fast to move from introduction to offer, what to send when someone stalls, and whether to send a message at all.

Best for: Brands in categories with high signup volume and a gap between signup and first order or action, such as beauty, apparel, food delivery and subscription services.

Browse abandonment

This is the follow-up to someone who viewed products but then left the site and never added anything to a cart. The intent was there, but not as strong as if they had added something to their cart and then abandoned, so the message works better as a reminder with options than a push to complete a purchase. Showing the last item viewed alongside a few similar products reignites someone’s interest and gives them a route back in.

Trigger: One or more product views in a session that doesn't end in a purchase, after a short delay.

What good looks like: A return visit that leads to an add to cart.

Where content generation helps: Producing category-level copy and creative across a large catalog. A retailer with thousands of products can't hand-write a follow-up for every category, and generated variants let the message match what the person was actually looking at.

Where audience, timing and message selection helps: Separating idle browsing from real consideration. Deciding how long to wait before sending. Capping how often one person receives these, since browse events fire far more often than cart events and you don’t want your messages to feel annoying or intrusive.

Best for: Retailers with large catalogs and long browse sessions, in categories like home, beauty, electronics and general marketplaces.

Cart recovery

Abandoned cart recovery is the follow-up to a shopper who added items and left before checkout. Intent is very clear, which makes it one of the highest-converting messages a consumer brand sends. Most brands run a short sequence of two or three messages over a couple of days, each with a different angle: a reminder, then reassurance, then an incentive if one is needed at all.

Trigger: An add to cart with no completed purchase, followed by a delay long enough to rule out someone who is still shopping.

What good looks like: Recovered orders that hold their margin. Sending the same discount to everyone recovers carts, but it also discounts shoppers who were coming back anyway and teaches the rest to abandon on purpose and wait.

Where content generation helps: Producing variants by cart value, product category and whether the shopper has bought before.

Where audience, timing and message selection helps: Deciding whether to include an incentive at all, how deep it should go and which channel leads. BrazeAI Decisioning Studio™ makes those 1:1 decisions against any business KPI you set.

Best for: Ecommerce brands with meaningful average order values and margin that blanket discounting would erode.

For the build detail, see abandoned cart emails 101.

Post-purchase and replenishment

The post-purchase journey covers everything that follows an order, from the confirmation through to the prompt for the next one. Order confirmations and shipping updates get opened at much higher rates than promotional emails, which makes them useful for more than logistic information. Replenishment picks up later, when the product is running out and the customer needs to think about reordering.

Trigger: A completed order for the immediate follow-up, then elapsed time for the replenishment prompt, tied to how long the product actually lasts.

What good looks like: A rising second-order rate and a shortening gap between first and second purchase.

Where content generation helps: Writing cross-sell and product care content for every item in the range. Expanding variants tied to product bought and other relevant context that you hold about the customer, for example, if their birthday is coming up.

Where audience, timing and message selection helps: Learning each customer's own repurchase rhythm.

Best for: Consumables and anything with a natural reorder cycle, in categories like beauty, pet, coffee, supplements and household goods.

Price drop and back-in-stock

Price-drop and back-in-stock alerts are tied to a change in price or availability on something a customer already showed interest in. The decision has effectively been made, so the message doesn't need to sell anything. It just needs to tell someone the product is ready to buy.

Trigger: A price reduction or a restock on a product the recipient browsed, saved or abandoned.

What good looks like: A high conversion rate relative to any other campaign in the program, since the audience has self-selected. The unsubscribe rate alongside it can also show whether the interest signals being used are strong enough to justify the interruption.

Where content generation helps: Variants that match surrounding context on the customer. For example, if they were looking at a gift item and Christmas is approaching or their birthday, you could use that to customize the message.

Where audience, timing and message selection helps: Judging which interest signals are worth acting on, as a single product view is weaker than a saved item. Capping how many of these alerts one person receives keeps a useful message from becoming noise.

Best for: Retailers with fluctuating stock or pricing, plus marketplaces, travel brands and anyone selling limited-run products.

Loyalty and VIP

This is recognition, early access and rewards for the customers who spend the most. The value is in retention rather than acquisition, as it costs far less to keep a customer than find a new one.

Trigger: A spend or frequency threshold, a tier change, a points balance update, or a scheduled early-access window ahead of a public launch.

What good looks like: High repeat purchase rate and retention within the VIP group, customers moving up into this group and rewards being redeemed.

Where content generation helps: Producing recognition content that reflects what each customer has actually done: what they bought, how long they've been around, where they sit in the program.

Where audience, timing and message selection helps: Spotting the behavior that signals someone is becoming a high-value customer before they cross a formal threshold, and treating them accordingly ahead of it. Also choosing the reward, as early access, free shipping and a discount don't motivate the same people equally.

Best for: Brands with a formal loyalty program or a concentrated base of top spenders, in categories like QSR, grocery, beauty and fashion.

Win-back

Win-back campaigns are outreach to customers who have stopped buying or stopped engaging. Whether someone counts as lapsed depends on your purchase cycle, as three months of silence is different for a coffee subscription than for a furniture retailer. The campaign also does a second job beyond reactivation, which is telling you which addresses are worth keeping. Consistently no response indicates dead emails that are best removed from your list to avoid damaging your sender reputation.

Trigger: A defined period of inactivity, measured against how often that customer would normally buy.

What good looks like: Reactivated customers, and a clean decision about who to suppress.

Where content generation helps: Creating message angles at volume, such as reminders, new-product prompts, change-since-you-left messages and incentives.

Where audience, timing and message selection helps: Working out who is actually recoverable and how much incentive each person needs. Some customers return at full price, so a blanket discount gives away margin on people who didn't need it.

Best for: Subscription businesses, marketplaces, and considered purchases with long natural gaps between transactions.

Seasonal and peak-period sends

These are campaigns built around the calendar, from Black Friday to Mother's Day to the start of a new school year. Volume climbs sharply over a short window, and the pressure is on producing enough creative in time while keeping frequency under control for people receiving from you far more often than usual.

Trigger: A fixed date, adjusted by what each customer did during previous seasonal moments and any additional context from a preference centre. For example, you can give people opt-outs for things like Mother’s Day if they don’t want to receive those messages.

What good looks like: Revenue growth without a rise in unsubscribes and complaints. People will tolerate hearing from you more often for a short window, but past that it starts to feel intrusive and customers may disengage or opt out. Mailbox providers watch these same signals and this can impact your sender reputation.

Where content generation helps: Producing a large volume of creative under a hard deadline, across categories, offers and audiences.

Where audience, timing and message selection helps: Managing frequency per individual across a compressed window, and deciding who to leave out of each send.

Best for: Retail, gifting, food and travel brands with revenue concentrated around fixed dates in the calendar.

How AI changes consumer email programs

AI changes three things about a consumer email program: who gets picked, when the message goes and how many versions of it exist.

Who gets picked

Traditionally marketers would create rules. They'd decide who goes in a group based on those rules, for example who bought in the last 90 days or if they'd spent over a threshold. AI moves that audience build to be based on consumer behavior, reading and learning across dozens of first-party data signals, finding the patterns that predict a purchase and adjusting who receives what as their behavior changes.

When the message is sent

One send time used to be applied to the whole campaign. Everyone would get the message at the same time. AI powered send-time optimization moves the decision down to the individual, reading when each person has opened and clicked before and sending at the hour they’re most likely to act.

How many versions of a message exist

To test versions, marketers used to write two versions of a message and test them against each other. Whichever won became the version everyone received. AI can generate hundreds of message variants to see which one works best for a set audience, and can even generate enough versions so each person gets a unique message matched to what each has responded to in the past.

The limits of AI email personalization

Generated content still needs human review, particularly on anything involving price, availability or a claim about the product. Decisioning needs enough volume and enough observed outcomes to be useful too, and neither fixes poor list hygiene.

B2C email marketing metrics that matter

You can’t improve what you’re not measuring. Tracking the right performance indicators helps you understand how your campaigns are working and where there’s room to refine.

For B2C brands, these are the metrics that matter most:

Core KPIs

• Open rate: (unique opens ÷ delivered): Machine opens have made this a directional signal rather than a performance measure. Use click-through rate, conversion rate and revenue per email to judge whether a campaign worked.
• Click-through rate (CTR): How many recipients clicked a link in your email. A direct measure of engagement.
• Conversion rate: Tracks how many users completed a desired action (purchase, signup, etc.) after clicking.
• Unsubscribe rate: If this spikes, your frequency, targeting, or content might need adjusting.
• Revenue per email: Combines email volume and impact, offering a clear picture of ROI.

Deeper performance insights

• Time to purchase: Measures how long it takes a user to convert after an email interaction.
• Repeat purchase rate: Helps you understand long-term customer behavior and loyalty.
• Churn rate: Reveals when and where customer engagement drops off over time.
• Engagement over time: Trends in opens, clicks, and conversions across campaigns or customer segments.

Incrementality and holdout testing

Decide what denominator each rate uses before you start measuring too, because sends, unique opens and deliveries will all give you a different number to report on.

For example, if you send 10,000 emails and 1,000 bounce, 9,000 arrive. If 900 people open, dividing by the 9,000 that arrived gives you a 10% open rate. Dividing by the 10,000 you sent gives you 9%. That’s the same campaign, same 900 people, but a different open rate. Stay consistent because that incrementality will give the wrong impression on whether something is improving or not, month-on-month.

While these metrics can tell you how the email was received, they can’t tell you whether any gains were down to the email. If someone was already coming back to buy, but also received an abandoned cart email, you can’t prove that the email was the thing that made them convert, and you could be handing out discounts that aren’t needed. A holdout is the only way to tell. Withholding the campaign from a random section of the audience and comparing rates across both groups.

B2C email marketing examples from real brands

Knowing the strategy is one thing, seeing it in motion is another. Here's how five brands across food service, creative operations, media and subscription and retail, used data-driven personalization, AI, creative operations and dynamic content to turn a routine email into a viral, high-performing campaign.

Grubhub's taste of personalization drives a 100% rise in social chatter

Grubhub is an online and mobile food-ordering and delivery marketplace, connecting diners with more than 300,000 restaurants across over 4,000 US cities.

The challenge

Grubhub wanted an engaging personalized email campaign to build brand awareness and drive usage, giving 30 million diners a summary of their year of ordering that they'd actually want to share.

The strategy

The team used Braze Content Blocks and Liquid personalization to automate the process of building personalized content. Thirty-two custom attributes were fed into Braze directly from Grubhub's data warehouse via the API. Every element of the email was dynamic, from the color scheme and header image down to each diner's ordering history, and Liquid let the team preview and test different versions to confirm they rendered correctly for every recipient.

The results

The Taste of 2020 Year in Review became one of Grubhub's most successful campaigns for shares and buzz, with a 100% increase in social media chatter year over year and an 18% lift in word-of-mouth referrals.

Overstock furnishes browsers with price alerts and a 21% conversion rate

Overstock sells home goods online and has been trading for more than two decades, moving from the surplus inventory that gave the company its name to a full range of new products.

The challenge

Email had always been a core channel, but the brand wanted to send fewer, more relevant messages rather than more of them, and to coordinate email with other channels rather than running it alone.

The strategy

After migrating to Braze, Overstock used Connected Content to surface products a shopper had recently viewed but not bought, then triggered alerts when one of those items dropped in price or was close to selling out. A push notification followed, telling email recipients an item had been saved for them. Within a few months of switching, the team had cut email volume substantially while improving targeting.

The results

The product alert campaign converted at 21% with a 38% open rate, which the story reports as three times the industry benchmark for opens, with unique clicks nine times higher.

Pizza Hut serves hundreds of email variants for a 21% slice more revenue

Pizza Hut operates more than 18,000 restaurants worldwide as part of Yum! Brands.

The challenge

The existing platform had no native mobile channels and no single view of cross-channel communications, and getting data in to act on was slow. The email and SMS program worked, but it couldn't be personalized to the depth the team wanted.

The strategy

Within months of migrating to Braze, the team built a multi-armed bandit machine learning multivariate test, using Canvas and Liquid personalization to launch highly targeted emails with hundreds of variants. The algorithms reviewed results every couple of days and fed updated instructions back in, so the mix kept shifting toward whatever was working.

The results

The emails outperformed every control variant, driving a 30% lift in transactions, a 21% lift in revenue and a 10% lift in profit against the standard email program.

Motorway shifts up a gear on reactivation, with 37% more valuations

Motorway is the UK's largest dedicated car-selling marketplace, connecting private sellers with more than 8,000 verified dealerships.

The challenge

Motorway's monthly reactivation email targets people who requested a valuation but haven't sold yet. Selling a car takes a long time to think about, so these prospects sit in the re-engagement pool for months. The message had been largely untouched for years and had gone generic, and a lean CRM team could only test a handful of variations at a time.

The strategy

Using BrazeAI Content Optimizer™, the team tested 125 combinations built from five subject lines, five body copy variations and five CTAs. The audience was split 80/20, with the smaller group continuing to receive the old static message as a control. Early results were strong enough that the team extended the approach across further campaigns on email, push and SMS.

The results

The reactivation campaign delivered a 114% lift in click volume and a 37% increase in new valuations against the static control. A second, lower-volume reactivation campaign saw a 47% uplift in click-through rate. One finding, that naming the customer's vehicle model in the CTA beat a generic one, was retested against the previous best performer in a business-as-usual campaign and won by 30%.

Peacock streams a year in review and cuts churn by 20%

Peacock is NBCUniversal's streaming service, offering originals, live sport, next-day network shows and films from Universal, Focus Features, DreamWorks Animation and Illumination.

The challenge

Peacock wanted to celebrate individual subscribers' viewing milestones, convert free users to paid and build enough goodwill going into the new year to hold subscriptions open. The year-in-review format had worked for music streaming, but the team wanted to prove it could do more than generate buzz.

The strategy

Working with Braze alongside Alloys partners mParticle and Movable Ink, the team started planning six months ahead. They personalized on the month each subscriber watched most, their most-streamed day of the week, the genres they watched and the length of their longest session, deliberately avoiding individual titles to comply with the Video Privacy Protection Act. Four templates covered premium and free tiers, each split by whether there was enough recent activity to personalize fully. On launch day the first version went to 100,000 users before the rest followed.

The results

Measured against a control group who didn't receive the campaign, recipients showed a 20% lower churn rate over 30 days, a 6% higher free-to-paid upgrade rate and a two-point lift in returning to the platform to watch something.

See how consumer brands run personalized email programs on Braze.