331 notes tagged as ["Loyalty"]
Filter your results by choosing one or more tags below or type your query in the search field above.
-
Segmentation has long played a role in targeting different consumer groups. Demographics and location data were first, offering a powerful way to target customer segments based on what they’re likely to want.
With new technology, it’s now possible to understand consumers on an even deeper level. Customer habits and actions say a lot about their purchasing behavior, and understanding these factors is vital to optimizing our marketing campaigns.
-
Loyalty programs don’t fail quietly. They fail expensively. Budgets are tighter, discount fatigue is real and engagement alone no longer passes as proof that a program is working. CMOs are being asked a simpler, tougher question: What is loyalty actually changing and what value is it creating that wouldn’t exist otherwise?
Many programs create activity without changing outcomes, mistaking participation for progress while leaving incremental revenue on the table. Rewarding past purchases is just one part of the puzzle. The rest determines whether loyalty actually changes behavior.
-
Doubling down on first-party data and keeping closer tabs on communities are some of the ways to preserve brand relevance, according to new Gale research. Adopters of artificial intelligence tools like OpenAI’s ChatGPT and Google Gemini are starting to set more of their brand preferences within chatbots. In the grand vision of technology developers, agentic AI will eventually identify relevant products, seek them out online and even shop, all with relatively little direct user input. That poses significant challenges to building and maintaining brand loyalty, according to new findings from the Gale agency.
-
You are currently enjoying the free trial mode which gives only back 3 results for each of your searches.
Click on Reset Search Tags to try another search.
Free NewsletterOnly paid members can get full access to the most recent content, create their own tags & personal folders, assign search results to specific projects and much more… all of this for less than 99c a day.
-
How AI is filtering and rewriting brand loyalty
Your brand is being filtered out. A seismic shift is fundamentally changing how consumers relate to loyalty, and most brands aren’t built for it. More than half of AI users have already turned to an AI assistant to help them decide where to shop, what to buy, or which brand to use.
And among all respondents, nearly 1 in 3 have gone a step further: deliberately opening an AI assistant — ChatGPT, Gemini, Copilot, and a growing field of others — and telling it which brands to favor above all others. It’s a deliberate hardcoding of their preferences directly into the algorithms that will shape every future recommendation they receive.
-
Checkout is now a loyalty strategy
The FreedomPay report reveals how checkout has quietly become the moment that makes or breaks customer loyalty, as rising expectations outpace outdated systems and force retail and hospitality leaders to rethink payments from the ground up. Consumers have more ways than ever to check out and pay. And they have strong opinions about how they want to do it.
The takeaway – checkout has become a make-or-break brand moment.
-
Loyalty without over-discounting
Everyday low price (EDLP) is a popular and viable operating model for many retailers, particularly in the grocery sector. The appeal to consumers is straightforward and powerful: consistent low prices, no promotions, no need to wait for a discount or deal. It is a model built on trust, and for the retailers that execute it well, that trust is a genuine competitive asset.
But even EDLP retailers grapple with how to grow visit frequency and basket size without compromising the price promise that defines their brand. Deeper discounts are not the answer. Smarter loyalty, powered by personalization, is.
-
How loyalty programs power lifecycle marketing strategies
Shifts in consumer behavior — specifically the desire for data privacy and instant, personalized recognition — and AI’s acceleration of the buying process are making traditional loyalty programs feel stale and pointless for brands and shoppers. Blanket discounts and traditional rewards aren’t what drive today’s consumers; they want value, relevance and trust in a brand. This is particularly true for Gen Z, who make purchase decisions faster and with purpose.
-
The omnichannel guide to retention & loyalty
Are your customer loyalty programs over-reliant on incentivisation to drive engagement? Do loyalty members lose interest over time, disengage, or jump ship to competitor brands faster than you can say “Black Friday flash sale?” It may be time to breathe new life into your loyalty efforts. If it’s fresh inspiration you’re after, this guide is a great place to start.
What’s Inside
In this guide, we take a pragmatic look at:
-
AI Is redefining the retail experience, but who owns the relationship?
As AI-powered assistants increasingly guide shoppers from discovery to purchase, the experience itself is being reshaped. It’s faster, more conversational, and often more helpful. But it’s also increasingly removed from the retailer. Retail customer experience has always been about understanding people, be it their needs, their preferences or their intentions in the retail space. This is vital because it informs customized and authentic responses that build trust over time.
-
Don’t let AI break your customer relationships
There is no question that AI is transforming the nature of customer contact. There is, however, ample debate about what that transformation will mean for the idea of the human connection. Customer contact thought leaders have long argued that AI is about augmenting rather than replacing humanity. They stress that by automating rote tasks and surfacing actionable intelligence real-time, AI enables humans to better demonstrate qualities like personalization, empathy, and resolve – and thus better cultivate meaningful relationships.
-
Beauty: How to build authenticity with targeted value
Beauty is the 3rd most popular spending category for Gen Zalpha, with 40% of young people who love to spend on beauty. Despite this desire, 29% of young consumers actively search for a discount before purchasing. How can beauty brands capture young people’s attention with value-driven messages, and successfully convert that attention into purchases?
This comprehensive study delivers both the hard numbers and the real-life qualitative insights you need to capture the youth market.