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Shoppers are overwhelmed by choice, and generic marketing gets ignored. But personalized experiences keep them engaged—and influence 93% of shoppers to stay loyal. The brands that act on this reality will gain a competitive edge.
Online shopping has brought a world of choice and convenience to consumers’ fingertips. But it hasn’t made shopping simpler. When there are too many options, shoppers can get stuck—taking longer to decide what to purchase or giving up completely.
70% of shoppers say they feel overwhelmed, uncertain, or that it takes too long to find an option they like when shopping online.
When they feel this way:
62% keep browsing for more options
61% look for reviews or recommendations to help them decide
38% postpone purchases for later
21% give up on purchasing completely (and younger shoppers are even more likely to give up)
Additionally, brands and shoppers alike are still feeling the impacts of tariffs. In the January 2026 Attentive Consumer Pulse, 89% of shoppers said they’re taking steps to manage costs in the next three months. Meanwhile, brands are balancing tighter margins while trying to stay competitive for more selective shoppers.
This is where personalization helps. Not as a buzzword, but as a way to reduce noise, build decision confidence, and help shoppers keep moving forward.
To understand what shoppers expect from personalization now, we asked 1,050 consumers across the US, UK, and Australia. The results reveal what “personalized” means to shoppers, what drives action and loyalty, and where brands can focus to make personalization effective.
Key takeaways
Personalization is a loyalty lever: 93% of shoppers say they’re likely to continue shopping with a brand when it provides personalized experiences.
Relevance drives action: 73% are more likely to purchase when they get product recommendations relevant to their needs and preferences.
Generic messages get tuned out: 64% say brand messages are too generic—and 80% are likely to ignore brands that send irrelevant messages.
Triggered messages are high-impact: Among the highest performing behavioral flows, 85% are more likely to purchase after receiving sales/price drops on desired items, and 81% after back-in-stock notifications.
Cross-channel coordination works:57% are more likely to purchase when they see the same promo across channels—and 73% prefer follow-ups that add something new.
Privacy-conscious consumers still want personalization:71% are taking steps to protect their privacy, yet 69% of them still want brands to learn from their shopping habits over time (compared to 66% of consumers who aren’t privacy-conscious)
Shoppers want the experiences RCS provides:92% of shoppers say at least one RCS feature would improve their shopping experience.
64% of shoppers want marketing to be more personalized
With so many choices, shoppers ignore generic messages. But they pay attention when marketing reflects what they care about.
Shoppers tune out brands that send irrelevant messages
Personalization is how you earn attention now:
56% of shoppers often or very often receive irrelevant messages.
64% say messages are too generic and want them tailored to their needs, preferences, or style.
80% are more likely to ignore brands that send irrelevant messages.
Attentive platform data shows that 90%+ of text messages sent are batch-and-blast. So there’s room to use the signals shoppers are already giving you, like: engagement by message type and product category, purchase history and recency, browsing activity, and preferences gathered in campaigns or at sign-up.
Consumers reward brands that personalize their experience
Shoppers want brands to adapt to them over time:
68% want brands to learn from their shopping habits over time (73% of Gen Z; 81% of Millennials).
73% are more likely to purchase when given product suggestions that feel relevant to their needs and preferences (83% for shoppers subscribed to emails, texts, and push notifications).
65% are open to receiving messages more frequently if they’re relevant.
53% say remembering their preferences is a top factor that leads them to continue shopping with a brand.
47% name remembering their past interactions as a top factor to continue shopping with a brand.
Those who sign up for two or three channels are more likely to purchase when receiving relevant product suggestions than one-channel subscribers. And they’re open to higher message frequency if it’s relevant to their needs, preferences, and style.
The opportunity: remove friction and help shoppers decide faster
When we asked what would improve shopping the most, the answers pointed to the same idea: make it easier and reduce the noise.
The top three improvements shoppers want:
Remember their preferences so it’s easier to shop
Give them product recommendations that match what they like
Help them pick up where they left off (e.g., saved products, recently viewed items, what’s in their cart)
Take action
Capture high-value preferences at sign-up (or in two-way text conversations) so you can personalize from the start.
Segment using first-party and zero-party data (engagement, lifecycle stage, category interest, etc.)
If you use a solution like AI Pro, use Audiences AI to sharpen segmentation (and boost email and SMS campaign revenue by 15%).
Use on-site personalization and abandonment flows to help shoppers pick up where they left off.
48% of shoppers say personalization starts with the preferences they’ve shared
“Personalized” and “relevant” can start to sound empty unless you define what they mean.
According to shoppers, personalization is based on their interactions with brands
Shoppers say marketing feels personalized when it:
47%: Keeps them updated on things they care about (e.g., back-in-stock alerts, sales on items they’re interested in)
41%: Features products that complement what they’ve browsed or bought
38%: Reflects what they’ve recently done with the brand (e.g., products viewed, added to cart, or purchased)
35%: Anticipates their needs (e.g., refills, seasonal items)
In other words, personalization is grounded in what shoppers do and share with brands.
Personalization also has a loyalty effect
93% of shoppers say they’re likely to continue shopping with a brand when it provides personalized experiences like:
53%: Remembering their preferences
53%: Making relevant product suggestions
47%: Remembering past interactions (purchases, browsing, etc.)
39%: Anticipating needs (50% for Gen Z)
32%: Sending messages at times that work well for them
Proof point: Attentive data shows that brands with product recommendations in their triggered email touchpoints see a 30% median increase in CTR and a 37% increase in CVR compared to brands that don’t include product recommendations.
Take action
Collect high-impact preferences for personalization (the inputs specific to your brand that will inform your message content and recommendations—gender, skin concerns, fitness goals, etc.).
Use browsing behavior to gather implied preferences (e.g., size, gender of clothing, category interest, price range).
Add product suggestions into standard campaigns (e.g., a sales email featuring products in their style).
Upgrade welcome and post-purchase journeys with preference- and behavior-based recommendations.
Launch additional journeys that respond to behavior (back-in-stock alerts, price drops, replenishment flows).
Use location data to anticipate seasonal needs.
Accurate subscriber recognition is the foundation of personalization
To deliver the personalized experiences shoppers want, brands need to recognize who’s browsing and connect that activity back to a subscriber profile. But when shoppers switch devices or return over multiple sessions, the same customer can look like multiple visitors if the signal gets interrupted.
Shorter cookie windows and multiple identifiers (phone numbers, email addresses, IP addresses, etc.) add to the challenge.
These factors make it harder to connect on-site behavior to an existing subscriber profile—and when profiles are incomplete or duplicated, personalization becomes less accurate.
This can show up in a few ways:
You might miss chances to trigger journeys when someone shows interest in your products—reducing the total possible revenue that abandonment flows provide.
You might send abandonment messages after a purchase already happened on a different device—which can frustrate shoppers and increase opt-outs.
That’s why identity resolution (recognizing the same shopper across sessions/devices and tying their behavior back to an email address or phone number) is becoming increasingly important.
Brands can lose signal as shoppers switch devices or take their time
In the past three months:
The average consumer has shopped in 4 different ways across various platforms, devices, and in-store.
53% are aware that they’ve switched devices or taken multiple online sessions before making a purchase.
Customer expectations are high—and brands benefit by meeting them
Shoppers say:
67% are more likely to unsubscribe if they keep receiving reminders about a product after they’ve purchased it.
71% expect brands to remember what they viewed or added to their cart if they switch devices or return later.
74% are more likely to purchase when a brand helps them pick up where they left off (saved items, recently viewed, what’s in their cart).
And when brands resolve identity challenges with a solution like Attentive Signal, they see 20% higher conversion rates and 95% more triggered email revenue.
Phone numbers are the most stable form of identification
Shoppers use multiple identifiers while they shop, which can fragment profiles:
75% of consumers have at least two active personal email addresses.
32% use a separate email address for marketing sign-ups or an email proxy to hide their email address.
Meanwhile, cell phone numbers prove stable:
75% of shoppers have just one active cell phone number.
68% have had their cell phone number for at least three years (and 49% for at least six years).
Take action
Build an identity graph (a web that links all of a customer’s IDs to a single profile) with the phone number as the primary anchor.
Extend your recognition window with server-side tracking (which lasts longer than browser-based cookies).
Adopt an identity infrastructure like Attentive Signal to improve recognition and revenue.
Product recommendations based on what a brand knows about them
64%
Refill reminders for items they purchase regularly
62%
Welcome messages that help them get to know the brand
62%
Reminders about items they meant to buy
You likely already have welcome, abandonment, and post-purchase flows. But this data points to an untapped opportunity to test other high-impact journeys like price drops, back-in-stock, replenishment, and loyalty.
Take action
Add journeys for high-intent moments: price drops, back-in-stock, loyalty points, and refill reminders.
Update your welcome journey to go beyond the discount code—build affinity by sharing about your values, what makes your brand unique, and what to shop first.
Recommend shoppers’ next purchase in your post-purchase flows.
57% are more likely to purchase from multi-channel campaigns
Shoppers don’t engage with brands in just one place. Additional data from our January 2026 Consumer Pulse survey shows that 69% of email subscribers also get text messages.
And Attentive platform data indicates that subscribers who receive both SMS and email are 2x more likely to buy than those who just receive SMS.
57% of shoppers are more likely to make a purchase from a brand when they see the same promotion in multiple places (67% for shoppers subscribed to emails, texts, and push notifications).
73% prefer when follow-up messages add something new instead of repeating the same thing (83% for shoppers subscribed to emails, texts, and push).
The strongest programs keep the core message consistent, while each touchpoint adds a little more value—helping shoppers move from interest to purchase.
Take action
Adapt your messages to suit each channel’s strengths: SMS for immediate action; push notifications for in-app behavior; email for detailed storytelling.
Segment by channel affinity so you can deliver the main message where they’ll read it.
Make follow-ups additive across campaigns and journeys: social proof, FAQs, warranty information, shipping policy, etc.
Timing is part of relevance—but right-timing varies by customer
Personalizing what you send matters, but so does when you send it. Most shoppers don’t think about message timing, but it’s growing in importance—and it’s a quiet driver of engagement and conversions.
32% of shoppers say message timing is a top-three reason they’ll continue shopping with a brand—up from 25% last year.
Ideal timing varies widely
Shoppers say they’re most likely to click a link or shop after receiving a marketing message:
% of shoppers
When they're most likely to engage with a marketing message
14%
When they first wake up
24%
While eating meals
17%
While commuting
30%
While taking a break at work/school
11%
While working out
28%
When waiting with nothing else to do (in line, at appointments, etc.)
50%
While relaxing at home in the evening
31%
While watching TV/streaming
15%
While winding down in bed before sleep
15%
No pattern—it varies
Even the most popular times only capture a portion of your audience. So a single “best send time” won’t reach everyone. Tailoring send time to each shopper can help you reach customers based on their unique engagement patterns.
When brands personalize send time with a solution like Send Time AI, email CVR lifts by 15% on average.
Shopping timing also shifts throughout the year
When asked when they shop online the most, shoppers pointed to:
% of shoppers
Shopping timing
47%
Big sale periods (e.g., Black Friday/Cyber Monday, Amazon Prime Day)
42%
Holiday season (November–December)
34%
For gift-giving holidays (e.g., Mother’s Day, Valentine’s Day)
29%
For special events or occasions (e.g., travel, weddings, graduation, etc.)
28%
When they receive their paycheck
23%
It's fairly consistent year-round
19%
At the beginning of a new season
15%
Back-to-school
There’s meaningful shopping activity across many moments on the calendar, but it’s not universal.
Gen Z insight: Payday is a standout moment—44% of Gen Z say they shop the most when they receive their paycheck (1.9x as high as other generations). So if you have a younger consumer base, consider leaning into end-of-the-month paycheck timing.
Take action
Use AI-powered send-time optimization, like Attentive’s Send Time AI, to send campaigns when shoppers are likely to engage.
Identify habitual patterns in your customers so you can align with shopping context: abandonment flows, replenishment reminders, payday promos, holiday messaging, and special occasions.
If you use a solution like Attentive’s AI Journeys (available in the US), it can personalize timing and content based on each customer’s journey with your brand.
71% of shoppers protect their privacy—but they still want personalized experiences
Privacy behavior is on the rise. 71% of shoppers are taking action to protect their privacy (up from 64% last year).
They’re doing things like:
Opting out of cookies
Limiting app access to phone data
Shopping in incognito
Opting out of personalized ads on social media
Using separate email addresses for marketing
Using an email proxy
Yet shoppers expect brands to tailor their experience
Privacy-conscious behavior doesn’t mean shoppers want brands to stop personalizing. In fact, 69% of privacy-conscious consumers still want brands to learn from their shopping habits over time (vs. 66% of those who aren’t privacy-conscious).
Privacy-conscious consumers are also more likely to say marketing is too generic and should be more tailored (66% compared to 59%).
Why shoppers protect their privacy
Shoppers point to concerns that brands can directly address:
% of shoppers
Privacy concern
46%
Concerned about data security
46%
Want to browse without being tracked
36%
Don’t trust certain websites or apps
36%
Received marketing messages without opting in
35%
Worry brands will share or sell their data
33%
Unsure how a brand will use their data
21%
Had a bad experience with privacy in the past
21%
Wanted to manage their data preferences but couldn’t
Shoppers still want relevance—just on terms they understand and can control. That means it’s within brands’ power to personalize in a way that honors customer privacy and improves their experience.
Take action
Be clear about what data you collect, how you’ll use it, and how it benefits the subscriber, including whether data is shared or sold.
Give customers control over their data and communication preferences.
Explain what subscribers can expect from your emails, texts, and push notifications.
Only contact opted-in subscribers, and avoid services that scrape email addresses from third-party sources.
Personalization can cross a line—but most of it is fair game
Shoppers are clear that they want more personalized experiences. But there’s a difference between what feels helpful and what feels uncomfortable or invasive.
Personalization feels invasive when it implies something shoppers didn’t share
Shoppers say it feels uncomfortable or invasive when:
42%: A brand personalizes in a way that implies it knows something the shopper never shared
36%: Personalization is based on sensitive topics the brand seems to infer (e.g., health concerns, weight, fertility status)
34%: Personal information comes from another website/app (e.g., name, location)
31%: A brand uses data from other websites/apps to personalize messages
The most common reasons these experiences feel uncomfortable:
61% aren’t sure how the brand got the information
58% feel like they don’t have control over how their data is used
38% say it’s uncomfortable when incorrect assumptions are made
Shoppers are comfortable with personalization based on what they do or share with your brand
The good news: shoppers are comfortable with most personalization scenarios. The common thread is relying on first-party data, while avoiding sensitive inferences.
Shoppers say it feels acceptable or neutral when brands:
% of shoppers
Personalization scenario
94%
Send back-in-stock alerts for items they viewed on the brand’s website
94%
Recommend products based on past purchases
92%
Tailor marketing messages based on preferences they explicitly saved (size, style, interests)
89%
Suggest additional items based on what’s in their cart
89%
Remind them when it’s time to reorder items they buy regularly
82%
Use their browsing history with the brand to personalize product recommendations
77%
Use their approximate location to send relevant store updates or local sales
The more channels a customer is subscribed to, the more likely they are to view all forms of personalization as acceptable.
Take action
Use first-party data shoppers expect (on-site behavior, past purchases, preferences, etc.) as your default personalization inputs.
Avoid personalization based on sensitive inferences or third-party data a shopper wouldn’t expect you to have.
Make the “why” clear by tying messages to a source when relevant (items they viewed, saved, added to cart, or purchased) so shoppers aren’t left wondering how you got the info.
87% of shoppers find AI-powered brand experiences valuable
Customers want brands to make shopping easier—and AI can help scale relevance that’s hard to do manually.
AI improves the shopping experience
Of shoppers who have been aware they’ve interacted with a brand that’s using AI, 87% of them say those experiences are valuable.
They say AI-powered brand experiences:
Save time and effort
Resolve issues faster (e.g., returns, shipping, order updates)
Shoppers are open to AI personalization—but they want it done responsibly
Here’s what shoppers told us:
58% of shoppers are comfortable with brands using their interactions to personalize with AI (only 20% are uncomfortable).
64% worry their data will be used in ways they don’t understand.
47% worry AI will push them to buy things they don’t need.
47% say they’d be more loyal to brands that use AI to make life easier, not just sell more.
Younger generations embrace AI: 71% of Gen Z and Millennials say they’re comfortable with brands using AI for personalization.
Brands can help shoppers feel more comfortable
Shoppers say they’d feel more comfortable with AI personalization if brands met these requirements:
51%: Strong security and privacy policies
45%: Clarity on what data is collected and how it’s used
45%: Commitment not to sell/share data
42%: Ability to request deletion of their data
36%: Clearer benefit to them
Take action
Set trust as a baseline with strong security policies and an easy path to requesting data deletion.
Prioritize AI uses that improve customer experience (faster support, easier product discovery, more relevant recommendations).
Pair AI with the signals shoppers expect you to use (their on-site behavior and details they’ve shared).
Make the value exchange clear: explain why a recommendation will suit them.
92% say RCS improves the shopping experience
RCS (Rich Communication Services) Business Messaging is the next generation of mobile messaging, bringing more interactive experiences directly into text conversations between brands and consumers. And shoppers are ready for it: 92% say at least one RCS feature would improve their shopping experience.
The top RCS features they say would improve their experience:
72%: Messages verified by carriers to ensure it’s not a scam
70%: Check order status with visual tracking updates
65%: Receive promos based on store proximity
61%: Save items to their cart
59%: Connect with customer service through verified conversations
57%: Use quick-reply buttons to share preferences or get personalized offers
54%: Schedule appointments or services by text
52%: Product carousels
50%: Purchase featured products within the text conversation
Spanx drives 201% more revenue/send from unengaged subscribers
Take action
Map out how RCS capabilities can enhance your customer experience and start incorporating it into your long-term messaging strategy.
Apply for an RCS Agent by contacting your Attentive CSM, or sign up for a demo if you’re new to Attentive. RCS approvals now take as little as 4–5 weeks once your application is submitted. Attentive is leading the RCS Business Messaging rollout in the United States and accelerating brand approvals through our strong partnerships with Google and all major phone carriers.
The takeaway: Relevance wins when shoppers are more selective
With ongoing price pressure, shoppers are being more deliberate in 2026. Add in choice overload and it takes more to earn their attention.
Shoppers have made it clear what keeps them engaged and gets them to pull out their wallets: Personalized experiences.
And they actively want brands to use their interactions to make shopping easier and make marketing more relevant.
When brands align with that, they earn attention and loyalty—which ultimately supports stronger conversion rates and ROI.
That’s exactly what Attentive helps marketers do—turning first-party signals into more relevant messages across SMS, email, push notifications, and RCS.
Attentive surveyed 1,050 consumers across the US, UK, and Australia ages 18–79 to understand how shoppers define personalization today, what they expect from brands, and what experiences drive trust and action. Respondents have shopped online in the past three months and are currently opted into at least one of email or text message marketing from brands.