PREPARED FOR KLAVIYO BY DATALILY
CONFIDENTIAL — FOR INTERNAL USE ONLY
Project goals
Survey methodology
A 33-question survey was designed by our data scientists and administered to 2,072 B2C marketers via Panoplai across 8 countries.
Countries: US (n=404), UK (n=435), France (n=213), Germany (n=207), Spain (n=205), Italy (n=200), Australia (n=203), Singapore (n=205)
Fielding period: March–April 2026
Respondent profile
B2C marketers with decision-making authority or influence over lifecycle marketing/CRM strategy at organizations with a direct-to-consumer presence.
Respondents were screened for active involvement in marketing strategy, with quotas set by country, vertical, and organization size.
Crosstab notes
| Option | % |
|---|---|
| A dedicated cultural or real-time marketing team | 27% |
| The broader marketing team owns it alongside everything else | 26% |
| It's shared across marketing, social, and creative with no single owner | 22% |
| Leadership decides on a case-by-case basis | 19% |
| No single owner - it happens ad hoc, inconsistently, or not at all | 6% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| A dedicated cultural or real-time marketing team | 27% | 30% | 27% | 28% |
| The broader marketing team owns it alongside everything else | 26% | 29% | 28% | 15% |
| It's shared across marketing, social, and creative with no single owner | 22% | 22% | 22% | 23% |
| Leadership decides on a case-by-case basis | 19% | 14% | 18% | 26% |
| No single owner - it happens ad hoc, inconsistently, or not at all | 6% | 5% | 5% | 8% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| A dedicated cultural or real-time marketing team | 27% | 36% | 24% | 26% | 26% | 33% | 24% |
| The broader marketing team owns it alongside everything else | 26% | 21% | 30% | 33% | 28% | 23% | 20% |
| It's shared across marketing, social, and creative with no single owner | 22% | 21% | 25% | 23% | 22% | 22% | 19% |
| Leadership decides on a case-by-case basis | 19% | 17% | 18% | 12% | 16% | 20% | 26% |
| No single owner - it happens ad hoc, inconsistently, or not at all | 6% | 5% | 3% | 6% | 8% | 2% | 11% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| A dedicated cultural or real-time marketing team | 27% | 34% | 25% |
| The broader marketing team owns it alongside everything else | 26% | 30% | 24% |
| It's shared across marketing, social, and creative with no single owner | 22% | 23% | 21% |
| Leadership decides on a case-by-case basis | 19% | 12% | 22% |
| No single owner - it happens ad hoc, inconsistently, or not at all | 6% | 1% | 8% |
Key takeaways
US respondents are 37% more likely to report leadership decides on a case-by-case basis compared to the overall average (26% vs. 19% overall)
VP or Head of Marketing respondents are 54% more likely to say the broader marketing team owns cultural moments compared to the overall average (40% vs. 26% overall)
Both B2B and B2C companies are 15% more likely to have a dedicated cultural marketing team than the overall average (31% vs. 27% overall)
Founders/CEOs are 2.3x more likely to report no single owner or ad hoc cultural marketing compared to the overall average (14% vs. 6% overall)
APAC respondents are 12% more likely than the overall average to say the broader marketing team owns cultural moments alongside everything else (29% vs. 26% overall)
Q7: Who, in your organization, has primary ownership of cultural moment marketing? (n=2,072)
| Option | % |
|---|---|
| Yes, around both planned and reactive moments | 48% |
| Yes, mainly around planned moments (e.g. sporting events, tentpoles) | 31% |
| No, we haven't activated around cultural moments | 11% |
| Yes, mainly around reactive or viral moments | 10% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Yes, around both planned and reactive moments | 48% | 55% | 47% | 49% |
| Yes, mainly around planned moments (e.g. sporting events, tentpoles) | 31% | 28% | 33% | 26% |
| No, we haven't activated around cultural moments | 11% | 8% | 11% | 13% |
| Yes, mainly around reactive or viral moments | 10% | 9% | 9% | 12% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Yes, around both planned and reactive moments | 48% | 60% | 47% | 40% | 51% | 53% | 40% |
| Yes, mainly around planned moments (e.g. sporting events, tentpoles) | 31% | 25% | 35% | 43% | 30% | 29% | 25% |
| No, we haven't activated around cultural moments | 11% | 8% | 8% | 9% | 10% | 6% | 24% |
| Yes, mainly around reactive or viral moments | 10% | 7% | 10% | 8% | 9% | 12% | 11% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Yes, around both planned and reactive moments | 48% | 56% | 44% |
| Yes, mainly around planned moments (e.g. sporting events, tentpoles) | 31% | 33% | 30% |
| No, we haven't activated around cultural moments | 11% | 3% | 15% |
| Yes, mainly around reactive or viral moments | 10% | 8% | 11% |
Key takeaways
Apparel/fashion brands are 25% more likely to have activated around both planned and reactive moments compared to the overall average (60% vs. 48% overall)
Enterprise companies are 17% more likely to have activated around both planned and reactive moments than the overall average (56% vs. 48% overall)
Both B2B and B2C companies are 13% more likely to have activated around both moment types compared to the overall average (54% vs. 48% overall)
Founders/CEOs are 2.1x more likely to report no cultural moment activations compared to the overall average (23% vs. 11% overall)
APAC respondents are 15% more likely to have activated around both planned and reactive moments compared to the overall average (55% vs. 48% overall)
Health and sporting goods brands are 39% more likely than average to have focused mainly on planned moments (43% vs. 31% overall)
Q8: In the past 12 months, has your team intentionally built marketing activations around cultural moments? (n=2,072)
| Option | % |
|---|---|
| Major regional or national sporting events (e.g. Super Bowl, UEFA competitions) | 42% |
| Major music or entertainment events (e.g. tours, festivals, award shows) | 41% |
| Cultural awareness moments (e.g. Pride, International Women's Day, Earth Day) | 38% |
| Major global sporting events (e.g. Olympics, World Cup, Formula 1) | 37% |
| Fashion or style moments (e.g. Met Gala, Fashion Weeks) | 22% |
| Gaming or tech launches | 7% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Major regional or national sporting events (e.g. Super Bowl, UEFA competitions) | 42% | 36% | 41% | 51% |
| Major music or entertainment events (e.g. tours, festivals, award shows) | 41% | 40% | 39% | 46% |
| Cultural awareness moments (e.g. Pride, International Women's Day, Earth Day) | 38% | 42% | 35% | 42% |
| Major global sporting events (e.g. Olympics, World Cup, Formula 1) | 37% | 39% | 36% | 36% |
| Fashion or style moments (e.g. Met Gala, Fashion Weeks) | 22% | 20% | 22% | 22% |
| Gaming or tech launches | 7% | 6% | 6% | 9% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Major regional or national sporting events (e.g. Super Bowl, UEFA competitions) | 42% | 34% | 46% | 47% | 47% | 45% | 32% |
| Major music or entertainment events (e.g. tours, festivals, award shows) | 41% | 40% | 43% | 37% | 40% | 42% | 39% |
| Cultural awareness moments (e.g. Pride, International Women's Day, Earth Day) | 38% | 32% | 38% | 25% | 40% | 44% | 42% |
| Major global sporting events (e.g. Olympics, World Cup, Formula 1) | 37% | 37% | 38% | 36% | 32% | 39% | 36% |
| Fashion or style moments (e.g. Met Gala, Fashion Weeks) | 22% | 49% | 16% | 15% | 19% | 19% | 18% |
| Gaming or tech launches | 7% | 3% | 5% | 3% | 11% | 11% | 9% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Major regional or national sporting events (e.g. Super Bowl, UEFA competitions) | 42% | 49% | 38% |
| Major music or entertainment events (e.g. tours, festivals, award shows) | 41% | 43% | 39% |
| Cultural awareness moments (e.g. Pride, International Women's Day, Earth Day) | 38% | 39% | 37% |
| Major global sporting events (e.g. Olympics, World Cup, Formula 1) | 37% | 45% | 31% |
| Fashion or style moments (e.g. Met Gala, Fashion Weeks) | 22% | 24% | 21% |
| Gaming or tech launches | 7% | 7% | 7% |
Key takeaways
US respondents are 21% more likely to have activated around major regional/national sporting events compared to the overall average (51% vs. 42% overall)
Apparel/fashion brands are 2.2x more likely to have activated around fashion or style moments like Met Gala or Fashion Weeks (49% vs. 22% overall).
C-Suite respondents are 36% more likely to have activated around major regional sporting events than the overall average (57% vs. 42% overall)
Enterprise companies are 22% more likely to have activated around global sporting events compared to the overall average (45% vs. 37% overall)
Both B2B and B2C companies are 29% more likely to have activated around major music events compared to B2C-only firms (45% vs. 35%)
Multi-category retailers are 16% more likely to have activated around cultural awareness moments compared to the overall average (44% vs. 38% overall)
Q9: Which planned cultural moments has your team activated around in the past 12 months? (n=2,072)
| Option | % |
|---|---|
| 2026 FIFA World Cup | 45% |
| Marketing or industry events | 33% |
| Formula 1 or Grand Prix events | 21% |
| Wimbledon | 18% |
| Tour de France | 17% |
| We don't have specific summer event plans yet | 16% |
| Commonwealth Games | 13% |
| Roland Garros | 11% |
| Cultural moments aren't part of our summer strategy | 5% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| 2026 FIFA World Cup | 45% | 36% | 49% | 42% |
| Marketing or industry events | 33% | 33% | 31% | 39% |
| Formula 1 or Grand Prix events | 21% | 33% | 20% | 14% |
| Wimbledon | 18% | 12% | 20% | 17% |
| Tour de France | 17% | 11% | 19% | 15% |
| We don't have specific summer event plans yet | 16% | 16% | 14% | 22% |
| Commonwealth Games | 13% | 29% | 9% | 9% |
| Roland Garros | 11% | 4% | 15% | 6% |
| Cultural moments aren't part of our summer strategy | 5% | 4% | 5% | 7% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| 2026 FIFA World Cup | 45% | 47% | 49% | 44% | 50% | 49% | 31% |
| Marketing or industry events | 33% | 34% | 34% | 28% | 33% | 40% | 27% |
| Formula 1 or Grand Prix events | 21% | 21% | 21% | 27% | 27% | 23% | 14% |
| Wimbledon | 18% | 19% | 23% | 20% | 14% | 18% | 13% |
| Tour de France | 17% | 16% | 20% | 20% | 14% | 17% | 12% |
| We don't have specific summer event plans yet | 16% | 17% | 13% | 12% | 14% | 14% | 27% |
| Commonwealth Games | 13% | 10% | 15% | 18% | 16% | 14% | 7% |
| Roland Garros | 11% | 11% | 12% | 18% | 14% | 11% | 5% |
| Cultural moments aren't part of our summer strategy | 5% | 4% | 3% | 4% | 4% | 4% | 12% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| 2026 FIFA World Cup | 45% | 55% | 39% |
| Marketing or industry events | 33% | 38% | 30% |
| Formula 1 or Grand Prix events | 21% | 30% | 17% |
| Wimbledon | 18% | 23% | 16% |
| Tour de France | 17% | 21% | 15% |
| We don't have specific summer event plans yet | 16% | 9% | 20% |
| Commonwealth Games | 13% | 18% | 10% |
| Roland Garros | 11% | 15% | 9% |
| Cultural moments aren't part of our summer strategy | 5% | 2% | 7% |
Key takeaways
EMEA respondents are 9% more likely to be planning World Cup activations compared to the overall average (49% vs. 45% overall)
APAC respondents are 2.2x more likely to be planning Commonwealth Games activations compared to the overall average (29% vs. 13% overall)
Enterprise companies are 22% more likely to be planning World Cup activations than the overall average (55% vs. 45% overall)
C-Suite respondents are 33% more likely to be planning World Cup activations compared to the overall average (60% vs. 45% overall)
VP or Head of Marketing respondents are 53% more likely to be planning Tour de France activations than the overall average (26% vs. 17% overall)
The “Other” vertical is the least likely to plan World Cup activations at just 31% (vs. 45% overall – 31% below average)
Q10: Looking ahead to this summer, which events is your team planning to activate around? (n=2,072)
| Option | % |
|---|---|
| Time-sensitive offers or discounts triggered by match results or milestones | 56% |
| Curated product collections or limited-edition drops tied to matches or teams | 51% |
| Reactive, humorous, or emotional content tapping into fan moments | 37% |
| Personalized messaging based on customers' team or sport preferences | 32% |
| AI-powered customer service (e.g. AI agent for fan Q&A, product recs during events) | 27% |
| Increased email, SMS, or WhatsApp volume during key match windows | 27% |
| We're still figuring out our activation plan | 3% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Time-sensitive offers or discounts triggered by match results or milestones | 56% | 56% | 57% | 53% |
| Curated product collections or limited-edition drops tied to matches or teams | 51% | 59% | 48% | 54% |
| Reactive, humorous, or emotional content tapping into fan moments | 37% | 36% | 37% | 39% |
| Personalized messaging based on customers' team or sport preferences | 32% | 32% | 30% | 37% |
| AI-powered customer service (e.g. AI agent for fan Q&A, product recs during events) | 27% | 30% | 26% | 30% |
| Increased email, SMS, or WhatsApp volume during key match windows | 27% | 28% | 27% | 27% |
| We're still figuring out our activation plan | 3% | 2% | 3% | 5% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Time-sensitive offers or discounts triggered by match results or milestones | 56% | 54% | 58% | 58% | 57% | 54% | 53% |
| Curated product collections or limited-edition drops tied to matches or teams | 51% | 70% | 51% | 46% | 47% | 54% | 35% |
| Reactive, humorous, or emotional content tapping into fan moments | 37% | 43% | 35% | 41% | 34% | 37% | 35% |
| Personalized messaging based on customers' team or sport preferences | 32% | 29% | 27% | 38% | 36% | 36% | 31% |
| AI-powered customer service (e.g. AI agent for fan Q&A, product recs during events) | 27% | 20% | 26% | 24% | 29% | 38% | 22% |
| Increased email, SMS, or WhatsApp volume during key match windows | 27% | 28% | 27% | 18% | 32% | 29% | 29% |
| We're still figuring out our activation plan | 3% | 2% | 2% | 2% | 2% | 4% | 6% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Time-sensitive offers or discounts triggered by match results or milestones | 56% | 61% | 52% |
| Curated product collections or limited-edition drops tied to matches or teams | 51% | 55% | 48% |
| Reactive, humorous, or emotional content tapping into fan moments | 37% | 41% | 34% |
| Personalized messaging based on customers' team or sport preferences | 32% | 38% | 28% |
| AI-powered customer service (e.g. AI agent for fan Q&A, product recs during events) | 27% | 34% | 22% |
| Increased email, SMS, or WhatsApp volume during key match windows | 27% | 31% | 25% |
| We're still figuring out our activation plan | 3% | 1% | 5% |
Key takeaways
Apparel/fashion brands are 37% more likely to plan curated product drops tied to matches or teams (70% vs. 51% overall).
VP/Head of Marketing respondents are 38% more likely to plan personalized messaging based on team preferences (44% vs. 32% overall).
Enterprise companies are 26% more likely to plan AI-powered customer service during events compared to the overall average (34% vs. 27% overall)
Both B2B and B2C companies are 78% more likely to plan AI-powered customer service compared to B2C-only firms (32% vs. 18%)
Multi-category retailers are 41% more likely to plan AI-powered customer service during events compared to the overall average (38% vs. 27% overall)
APAC respondents are 16% more likely to plan curated product collections compared to the overall average (59% vs. 51% overall)
Q11: What types of activations are you planning around the World Cup and summer sporting events? (n=2,072)
| Option | % |
|---|---|
| International football tournaments | 25% |
| American football (e.g. Super Bowl, NFL) | 18% |
| Olympics or Paralympics | 17% |
| Motorsport (e.g. Formula 1, MotoGP, Grand Prix) | 11% |
| Regional league championships (e.g. Premier League, La Liga, etc.) | 11% |
| Tennis (e.g. Wimbledon, US Open, Roland Garros) | 10% |
| Rugby (e.g. World Cup, Six Nations) | 4% |
| Cricket (e.g. ICC, IPL) | 2% |
| None delivered strong results | 2% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| International football tournaments | 25% | 24% | 30% | 5% |
| American football (e.g. Super Bowl, NFL) | 18% | 6% | 8% | 60% |
| Olympics or Paralympics | 17% | 19% | 17% | 17% |
| Motorsport (e.g. Formula 1, MotoGP, Grand Prix) | 11% | 19% | 10% | 7% |
| Regional league championships (e.g. Premier League, La Liga, etc.) | 11% | 8% | 15% | 4% |
| Tennis (e.g. Wimbledon, US Open, Roland Garros) | 10% | 10% | 12% | 4% |
| Rugby (e.g. World Cup, Six Nations) | 4% | 4% | 5% | 1% |
| Cricket (e.g. ICC, IPL) | 2% | 7% | 1% | 0% |
| None delivered strong results | 2% | 3% | 2% | 2% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| International football tournaments | 25% | 28% | 27% | 20% | 24% | 21% | 20% |
| American football (e.g. Super Bowl, NFL) | 18% | 17% | 22% | 16% | 14% | 20% | 11% |
| Olympics or Paralympics | 17% | 14% | 13% | 25% | 18% | 18% | 22% |
| Motorsport (e.g. Formula 1, MotoGP, Grand Prix) | 11% | 9% | 9% | 15% | 13% | 8% | 18% |
| Regional league championships (e.g. Premier League, La Liga, etc.) | 11% | 11% | 9% | 7% | 14% | 16% | 10% |
| Tennis (e.g. Wimbledon, US Open, Roland Garros) | 10% | 15% | 8% | 13% | 9% | 8% | 10% |
| Rugby (e.g. World Cup, Six Nations) | 4% | 2% | 7% | 2% | 2% | 4% | 5% |
| Cricket (e.g. ICC, IPL) | 2% | 2% | 2% | 1% | 4% | 3% | 0% |
| None delivered strong results | 2% | 2% | 3% | 1% | 2% | 2% | 4% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| International football tournaments | 25% | 28% | 21% |
| American football (e.g. Super Bowl, NFL) | 18% | 16% | 19% |
| Olympics or Paralympics | 17% | 16% | 18% |
| Motorsport (e.g. Formula 1, MotoGP, Grand Prix) | 11% | 12% | 11% |
| Regional league championships (e.g. Premier League, La Liga, etc.) | 11% | 10% | 13% |
| Tennis (e.g. Wimbledon, US Open, Roland Garros) | 10% | 11% | 9% |
| Rugby (e.g. World Cup, Six Nations) | 4% | 4% | 4% |
| Cricket (e.g. ICC, IPL) | 2% | 2% | 2% |
| None delivered strong results | 2% | 1% | 3% |
Key takeaways
US respondents overwhelmingly cite American football as the strongest-performing event at 60%, which is 3.3x the overall rate of 18%.
EMEA respondents are 20% more likely to cite international football tournaments as their top performer compared to the overall average (30% vs. 25% overall)
APAC respondents are 73% more likely to cite motorsport as delivering the strongest results compared to the overall average (19% vs. 11% overall)
Health and sporting goods brands are 47% more likely to cite the Olympics as their top-performing event compared to the overall average (25% vs. 17% overall)
C-Suite respondents are 45% more likely to cite motorsport as delivering the strongest results compared to the overall average (16% vs. 11% overall)
Enterprise companies are 12% more likely to cite international football tournaments as their top performer compared to the overall average (28% vs. 25% overall)
Q12: Which sporting event delivered the strongest marketing results for your brand in the past 12 months? (n=2,072)
| Option | % |
|---|---|
| On the squad: General plan, still building assets | 45% |
| Starting XI ready: Plan, assets, and triggers in place | 38% |
| In training: Want to activate but planning hasn't started yet | 13% |
| Not called up: No plans to activate during the World Cup | 4% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| On the squad: General plan, still building assets | 45% | 55% | 42% | 41% |
| Starting XI ready: Plan, assets, and triggers in place | 38% | 31% | 40% | 43% |
| In training: Want to activate but planning hasn't started yet | 13% | 12% | 14% | 10% |
| Not called up: No plans to activate during the World Cup | 4% | 2% | 4% | 6% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| On the squad: General plan, still building assets | 45% | 34% | 43% | 50% | 53% | 44% | 42% |
| Starting XI ready: Plan, assets, and triggers in place | 38% | 48% | 37% | 34% | 36% | 40% | 36% |
| In training: Want to activate but planning hasn't started yet | 13% | 13% | 15% | 11% | 8% | 14% | 15% |
| Not called up: No plans to activate during the World Cup | 4% | 5% | 5% | 5% | 3% | 2% | 7% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| On the squad: General plan, still building assets | 45% | 41% | 47% |
| Starting XI ready: Plan, assets, and triggers in place | 38% | 46% | 32% |
| In training: Want to activate but planning hasn't started yet | 13% | 10% | 16% |
| Not called up: No plans to activate during the World Cup | 4% | 3% | 5% |
Key takeaways
Enterprise companies are 21% more likely to be fully ready with plans, assets, and triggers in place compared to the overall average (46% vs. 38% overall)
APAC respondents are the least fully prepared, with only 31% reporting “Starting XI ready” status (vs. 38% overall – 18% below average)
Founders/CEOs are 32% more likely to be fully ready compared to the overall average (50% vs. 38% overall)
Apparel/fashion brands are 26% more likely to be fully ready compared to the overall average (48% vs. 38% overall)
B2C-only companies are 2.3x more likely to have no World Cup activation plans at all compared to Both B2B and B2C firms (7% vs. 3%)
Health and sporting goods brands are 11% more likely to still be building assets compared to the overall average (50% vs. 45% overall)
Q13: How prepared is your team to activate in time during the 2026 World Cup? (n=2,072)
| Option | % |
|---|---|
| Yes, substantially (21-50% increase) | 39% |
| Yes, somewhat (1-20% increase) | 30% |
| Yes, significantly (> 50% increase) | 19% |
| No, same budget but different allocation | 10% |
| No, summer sporting events are not a budget priority | 1% |
| No, summer sport isn't a budget priority | 1% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Yes, substantially (21-50% increase) | 39% | 33% | 41% | 34% |
| Yes, somewhat (1-20% increase) | 30% | 38% | 26% | 34% |
| Yes, significantly (> 50% increase) | 19% | 16% | 21% | 17% |
| No, same budget but different allocation | 10% | 12% | 9% | 12% |
| No, summer sporting events are not a budget priority | 1% | 0% | 2% | 1% |
| No, summer sport isn't a budget priority | 1% | 1% | 1% | 2% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Yes, substantially (21-50% increase) | 39% | 39% | 38% | 48% | 37% | 40% | 30% |
| Yes, somewhat (1-20% increase) | 30% | 28% | 32% | 25% | 32% | 28% | 35% |
| Yes, significantly (> 50% increase) | 19% | 24% | 17% | 15% | 19% | 24% | 15% |
| No, same budget but different allocation | 10% | 8% | 11% | 11% | 10% | 8% | 12% |
| No, summer sporting events are not a budget priority | 1% | 0% | 1% | 0% | 1% | 0% | 4% |
| No, summer sport isn't a budget priority | 1% | 1% | 1% | 1% | 1% | 0% | 4% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Yes, substantially (21-50% increase) | 39% | 37% | 38% |
| Yes, somewhat (1-20% increase) | 30% | 29% | 31% |
| Yes, significantly (> 50% increase) | 19% | 21% | 18% |
| No, same budget but different allocation | 10% | 10% | 11% |
| No, summer sporting events are not a budget priority | 1% | 1% | 1% |
| No, summer sport isn't a budget priority | 1% | 2% | 1% |
Key takeaways
Founders/CEOs are 58% more likely to plan a significant budget increase (>50%) compared to the overall average (30% vs. 19% overall)
EMEA respondents are 11% more likely to plan a significant budget increase (>50%) compared to the overall average (21% vs. 19% overall)
Health and sporting goods brands are 23% more likely to plan a substantial (21-50%) budget increase compared to the overall average (48% vs. 39% overall)
Both B2B and B2C companies are 31% more likely to plan significant (>50%) budget increases compared to B2C-only firms (21% vs. 16%)
The “Other” vertical is the most conservative on budget increases, with the lowest rate of substantial increases (30% vs. 39% overall – 23% below average)
Multi-category retailers are 26% more likely to plan significant (>50%) budget increases compared to the overall average (24% vs. 19% overall)
Q14: Will your team increase its marketing budget for summer sporting events compared to your typical always-on spend? (n=2,072)
| Option | % |
|---|---|
| Yes, to personalize messaging based on fan preferences or match outcomes | 45% |
| Yes, to produce more campaigns faster than we could manually | 33% |
| Yes, to power AI customer service during event windows (e.g. product recs, fan Q&A) | 24% |
| We're exploring it but haven't committed | 13% |
| No, we're not planning to use AI for summer sporting activations | 5% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Yes, to personalize messaging based on fan preferences or match outcomes | 45% | 44% | 45% | 44% |
| Yes, to produce more campaigns faster than we could manually | 33% | 35% | 32% | 34% |
| Yes, to power AI customer service during event windows (e.g. product recs, fan Q&A) | 24% | 25% | 23% | 27% |
| We're exploring it but haven't committed | 13% | 10% | 14% | 14% |
| No, we're not planning to use AI for summer sporting activations | 5% | 3% | 4% | 7% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Yes, to personalize messaging based on fan preferences or match outcomes | 45% | 45% | 39% | 51% | 45% | 50% | 41% |
| Yes, to produce more campaigns faster than we could manually | 33% | 47% | 29% | 26% | 29% | 37% | 31% |
| Yes, to power AI customer service during event windows (e.g. product recs, fan Q&A) | 24% | 23% | 22% | 29% | 27% | 22% | 22% |
| We're exploring it but haven't committed | 13% | 8% | 15% | 11% | 14% | 13% | 15% |
| No, we're not planning to use AI for summer sporting activations | 5% | 4% | 6% | 2% | 4% | 1% | 9% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Yes, to personalize messaging based on fan preferences or match outcomes | 45% | 44% | 45% |
| Yes, to produce more campaigns faster than we could manually | 33% | 37% | 30% |
| Yes, to power AI customer service during event windows (e.g. product recs, fan Q&A) | 24% | 27% | 21% |
| We're exploring it but haven't committed | 13% | 12% | 14% |
| No, we're not planning to use AI for summer sporting activations | 5% | 3% | 5% |
Key takeaways
Founders are 42% more likely than the overall population to plan using AI for faster campaign production (47% vs. 33% overall).
C-Suite respondents are 16% more likely to plan AI-personalized messaging for sporting activations (52% vs. 45% overall)
VP or Head of Marketing respondents are 29% more likely to plan AI-powered customer service during event windows (31% vs. 24% overall), the highest of any role segment.
Enterprise respondents are 12% more likely than the overall population to use AI for faster campaign production (37% vs. 33% overall)
Health and sporting goods brands are 13% more likely to plan AI-personalized messaging (51% vs. 45% overall)
Apparel/fashion brands are 42% more likely than the overall population to use AI for faster campaign production (47% vs. 33% overall), the highest of any vertical.
Q15: Are you planning to use AI specifically to power your summer sporting activations? (n=2,072)
| Option | % |
|---|---|
| 3-6 months before | 38% |
| 1-3 months before | 27% |
| More than 6 months before | 22% |
| 2-4 weeks before | 10% |
| The week of | 2% |
| We're usually still finalizing assets when the event starts | 1% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| 3-6 months before | 38% | 39% | 39% | 36% |
| 1-3 months before | 27% | 23% | 27% | 30% |
| More than 6 months before | 22% | 26% | 21% | 19% |
| 2-4 weeks before | 10% | 9% | 10% | 10% |
| The week of | 2% | 1% | 2% | 4% |
| We're usually still finalizing assets when the event starts | 1% | 2% | 1% | 1% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| 3-6 months before | 38% | 40% | 37% | 38% | 42% | 39% | 36% |
| 1-3 months before | 27% | 22% | 29% | 32% | 27% | 26% | 24% |
| More than 6 months before | 22% | 26% | 22% | 15% | 15% | 25% | 23% |
| 2-4 weeks before | 10% | 7% | 10% | 12% | 12% | 7% | 11% |
| The week of | 2% | 2% | 2% | 1% | 3% | 2% | 3% |
| We're usually still finalizing assets when the event starts | 1% | 3% | 0% | 2% | 1% | 1% | 3% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| 3-6 months before | 38% | 39% | 38% |
| 1-3 months before | 27% | 25% | 28% |
| More than 6 months before | 22% | 26% | 19% |
| 2-4 weeks before | 10% | 8% | 10% |
| The week of | 2% | 1% | 3% |
| We're usually still finalizing assets when the event starts | 1% | 1% | 2% |
Key takeaways
APAC respondents are 18% more likely than the overall population to plan more than 6 months ahead (26% vs. 22% overall), the most forward-planning region.
C-Suite respondents are 13% more likely to have activations ready 3-6 months before (43% vs. 38% overall), while Founders/CEOs are the least likely at 33%.
Founders/CEOs are 100% more likely to launch the week of the event (4% vs. 2% overall), suggesting smaller founder-led teams operate with tighter timelines.
Enterprise brands are 18% more likely to plan more than 6 months ahead (26% vs. 22% overall)
Health and sporting goods brands are 32% less likely to plan more than 6 months ahead (15% vs. 22% overall), the lowest of any vertical.
B2C-only brands are 14% less likely to plan more than 6 months in advance (19% vs. 22% overall) compared to Both B2B and B2C brands at 23%.
Q16: How far ahead of a planned cultural moment (e.g. World Cup, Wimbledon) does your team typically have the activation ready to launch? (n=2,072)
| Option | % |
|---|---|
| Within 6 hours | 25% |
| Within 12 hours | 22% |
| Within 24 hours | 20% |
| Within 2 hours | 16% |
| Within 48 hours | 11% |
| More than 48 hours | 6% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Within 6 hours | 25% | 25% | 26% | 29% |
| Within 12 hours | 22% | 21% | 23% | 18% |
| Within 24 hours | 20% | 21% | 21% | 16% |
| Within 2 hours | 16% | 15% | 13% | 25% |
| Within 48 hours | 11% | 13% | 11% | 7% |
| More than 48 hours | 6% | 5% | 6% | 5% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Within 6 hours | 25% | 24% | 27% | 28% | 30% | 25% | 27% |
| Within 12 hours | 22% | 20% | 22% | 25% | 23% | 23% | 16% |
| Within 24 hours | 20% | 19% | 21% | 24% | 19% | 19% | 19% |
| Within 2 hours | 16% | 18% | 16% | 11% | 14% | 16% | 16% |
| Within 48 hours | 11% | 11% | 11% | 9% | 10% | 11% | 12% |
| More than 48 hours | 6% | 8% | 3% | 3% | 4% | 6% | 10% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Within 6 hours | 25% | 23% | 28% |
| Within 12 hours | 22% | 21% | 22% |
| Within 24 hours | 20% | 22% | 19% |
| Within 2 hours | 16% | 16% | 15% |
| Within 48 hours | 11% | 11% | 11% |
| More than 48 hours | 6% | 7% | 5% |
Key takeaways
US respondents are 56% more likely to be able to launch within 2 hours (25% vs. 16% overall), far outpacing EMEA at just 13%.
Founders/CEOs are 50% more likely to get a campaign live within 2 hours (24% vs. 16% overall), likely reflecting shorter approval chains in founder-led organizations.
Directors or Managers are 25% less likely than overall to launch within 2 hours (12% vs. 16% overall), the slowest role segment.
Home goods brands are 20% more likely to respond within 6 hours (30% vs. 25% overall), the fastest vertical for this time window.
Health and sporting goods brands are 31% less likely to respond within 2 hours (11% vs. 16% overall)
Non-enterprise brands are 12% more likely to respond within 6 hours (28% vs. 25% overall), while enterprise brands lag at 23%.
Q17: When an unexpected viral moment or cultural flashpoint hits, how quickly can your team get a campaign live? (n=2,072)
| Option | % |
|---|---|
| 1-3 days | 37% |
| 4-7 days | 23% |
| Under 24 hours | 17% |
| 1-2 weeks | 13% |
| More than 2 weeks | 8% |
| We haven't had a standout success | 2% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| 1-3 days | 37% | 37% | 35% | 37% |
| 4-7 days | 23% | 24% | 24% | 19% |
| Under 24 hours | 17% | 14% | 16% | 26% |
| 1-2 weeks | 13% | 14% | 14% | 10% |
| More than 2 weeks | 8% | 9% | 9% | 7% |
| We haven't had a standout success | 2% | 2% | 2% | 1% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| 1-3 days | 37% | 39% | 38% | 33% | 38% | 37% | 30% |
| 4-7 days | 23% | 21% | 21% | 35% | 24% | 22% | 22% |
| Under 24 hours | 17% | 18% | 19% | 10% | 14% | 20% | 19% |
| 1-2 weeks | 13% | 11% | 14% | 15% | 17% | 12% | 11% |
| More than 2 weeks | 8% | 9% | 7% | 6% | 6% | 8% | 14% |
| We haven't had a standout success | 2% | 2% | 1% | 1% | 1% | 1% | 4% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| 1-3 days | 37% | 34% | 37% |
| 4-7 days | 23% | 25% | 22% |
| Under 24 hours | 17% | 15% | 19% |
| 1-2 weeks | 13% | 15% | 13% |
| More than 2 weeks | 8% | 10% | 7% |
| We haven't had a standout success | 2% | 1% | 2% |
Key takeaways
US respondents are 53% more likely to have launched their most successful activation under 24 hours (26% vs. 17% overall), more than double the EMEA rate of 16%.
Founders/CEOs are 53% more likely to have achieved success with sub-24-hour turnarounds (26% vs. 17% overall), reinforcing the speed advantage of founder-led teams.
VPs or Heads of Marketing are 52% more likely to cite 4-7 day timelines for their best activation (35% vs. 23% overall)
Health and sporting goods brands are 52% more likely to take 4-7 days (35% vs. 23% overall), the highest of any vertical for this timeframe.
Enterprise brands are 25% more likely to take more than 2 weeks for their best activation (10% vs. 8% overall)
Non-enterprise brands are 12% more likely to have launched their best activation under 24 hours (19% vs. 17% overall), confirming smaller brands’ speed advantage.
Q18: Thinking about your most successful cultural moment activation in the past 12 months: how long did it take from spotting the opportunity to launching the campaign? (n=2,072)
| Option | % |
|---|---|
| 1-2 | 47% |
| None | 34% |
| 3-5 | 15% |
| More than 5 | 4% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| 1-2 | 47% | 50% | 48% | 43% |
| None | 34% | 31% | 33% | 39% |
| 3-5 | 15% | 16% | 15% | 15% |
| More than 5 | 4% | 3% | 4% | 3% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| 1-2 | 47% | 44% | 49% | 60% | 46% | 43% | 45% |
| None | 34% | 38% | 33% | 24% | 33% | 35% | 34% |
| 3-5 | 15% | 15% | 15% | 13% | 17% | 17% | 15% |
| More than 5 | 4% | 3% | 3% | 3% | 4% | 5% | 6% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| 1-2 | 47% | 43% | 50% |
| None | 34% | 36% | 32% |
| 3-5 | 15% | 17% | 14% |
| More than 5 | 4% | 4% | 4% |
Key takeaways
Health and sporting goods brands are 28% more likely to have missed 1-2 moments (60% vs. 47% overall) and 29% less likely to have missed none (24% vs. 34% overall)
VPs or Heads of Marketing are 17% more likely to report missing 1-2 moments (55% vs. 47% overall), the highest of any role.
APAC respondents are 6% more likely to have missed 1-2 moments (50% vs. 47% overall)
Non-enterprise brands are 6% more likely to have missed 1-2 moments (50% vs. 47% overall)
Founders/CEOs are 75% more likely to report missing more than 5 moments (7% vs. 4% overall), the highest of any role segment for extreme misses.
Multi-category retailers are 13% more likely to have missed 3-5 moments (17% vs. 15% overall) and 25% more likely to miss more than 5 (5% vs. 4% overall)
Q19: In the past 12 months, how many cultural moments did your team miss because you couldn’t move fast enough? (n=2,072)
| Option | % |
|---|---|
| 10-20% | 53% |
| More than 20% | 21% |
| 5-10% | 16% |
| We don't measure this separately | 10% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| 10-20% | 53% | 51% | 54% | 51% |
| More than 20% | 21% | 22% | 20% | 22% |
| 5-10% | 16% | 15% | 17% | 16% |
| We don't measure this separately | 10% | 12% | 9% | 11% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| 10-20% | 53% | 49% | 58% | 61% | 56% | 51% | 44% |
| More than 20% | 21% | 27% | 18% | 16% | 22% | 25% | 17% |
| 5-10% | 16% | 16% | 16% | 13% | 16% | 16% | 19% |
| We don't measure this separately | 10% | 8% | 8% | 10% | 6% | 8% | 20% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| 10-20% | 53% | 52% | 53% |
| More than 20% | 21% | 24% | 19% |
| 5-10% | 16% | 16% | 17% |
| We don't measure this separately | 10% | 8% | 11% |
Key takeaways
Health and sporting goods brands are 15% more likely to attribute 10-20% of revenue to cultural moments (61% vs. 53% overall), the highest of any vertical.
Apparel/fashion brands are 29% more likely to report more than 20% of revenue from cultural moments (27% vs. 21% overall)
VP or Head of Marketing respondents are 12% more likely to report 10-20% revenue attribution (59% vs. 53% overall), while Founders/CEOs are 17% less likely at 44%.
Founders/CEOs are 19% more likely to report more than 20% of revenue from cultural moments (25% vs. 21% overall), the highest of any role.
Enterprise brands are 14% more likely to attribute more than 20% of revenue to cultural moments (24% vs. 21% overall) compared to 19% for non-enterprise brands.
Both B2B and B2C brands are 35% more likely to attribute more than 20% of revenue (23% vs. 17% for B2C-only)
Q20: Approximately what share of your total marketing revenue comes from cultural moment activations vs. routine calendar marketing? (n=2,072)
| Option | % |
|---|---|
| We assess each moment case-by-case based on brand fit and audience relevance | 63% |
| We have clear brand guidelines that define which moments are on-brand | 28% |
| We mostly follow what competitors or the industry is doing | 6% |
| We don't have a formal framework - it's a gut call | 3% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| We assess each moment case-by-case based on brand fit and audience relevance | 63% | 63% | 62% | 63% |
| We have clear brand guidelines that define which moments are on-brand | 28% | 30% | 29% | 26% |
| We mostly follow what competitors or the industry is doing | 6% | 4% | 6% | 7% |
| We don't have a formal framework - it's a gut call | 3% | 3% | 3% | 4% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| We assess each moment case-by-case based on brand fit and audience relevance | 63% | 61% | 67% | 73% | 62% | 58% | 58% |
| We have clear brand guidelines that define which moments are on-brand | 28% | 33% | 26% | 21% | 28% | 31% | 30% |
| We mostly follow what competitors or the industry is doing | 6% | 3% | 5% | 3% | 8% | 8% | 6% |
| We don't have a formal framework - it's a gut call | 3% | 3% | 2% | 3% | 2% | 3% | 6% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| We assess each moment case-by-case based on brand fit and audience relevance | 63% | 59% | 65% |
| We have clear brand guidelines that define which moments are on-brand | 28% | 34% | 25% |
| We mostly follow what competitors or the industry is doing | 6% | 6% | 6% |
| We don't have a formal framework - it's a gut call | 3% | 1% | 4% |
Key takeaways
Health and sporting goods brands are 16% more likely to assess cultural moments case-by-case (73% vs. 63% overall), the highest of any vertical.
VP or Head of Marketing respondents are 11% more likely to assess case-by-case (70% vs. 63% overall), while Founders/CEOs are 11% less likely (56% vs. 63% overall).
Founders/CEOs are 18% more likely to have clear brand guidelines (33% vs. 28% overall)
Enterprise brands are 21% more likely to have clear brand guidelines (34% vs. 28% overall)
Non-enterprise brands are 33% more likely to rely on gut calls (4% vs. 3% overall) and just 1% for enterprise, suggesting smaller brands lack formal frameworks.
Both B2B and B2C brands are 7% more likely to have clear brand guidelines (30% vs. 28% overall) compared to B2C-only at 25%.
Q21: How does your team decide whether or not it has a credible reason to participate in a cultural moment? (n=2,072)
| Option | % |
|---|---|
| Mostly coordinated | 51% |
| Fully coordinated - every channel fires as part of one play | 40% |
| Channels mostly operate independently | 7% |
| I'm not sure | 2% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Mostly coordinated | 51% | 54% | 50% | 50% |
| Fully coordinated - every channel fires as part of one play | 40% | 39% | 40% | 43% |
| Channels mostly operate independently | 7% | 6% | 8% | 5% |
| I'm not sure | 2% | 1% | 2% | 2% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Mostly coordinated | 51% | 45% | 53% | 52% | 57% | 48% | 53% |
| Fully coordinated - every channel fires as part of one play | 40% | 50% | 40% | 35% | 37% | 44% | 31% |
| Channels mostly operate independently | 7% | 4% | 6% | 10% | 5% | 7% | 12% |
| I'm not sure | 2% | 1% | 1% | 3% | 1% | 1% | 4% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Mostly coordinated | 51% | 49% | 53% |
| Fully coordinated - every channel fires as part of one play | 40% | 45% | 37% |
| Channels mostly operate independently | 7% | 5% | 8% |
| I'm not sure | 2% | 1% | 2% |
Key takeaways
Founders and CEOs are 18% more likely than average to report full coordination across channels during cultural moments (47% vs. 40% overall)
Directors and Managers are 12% more likely to say channels are only “mostly coordinated” rather than fully coordinated (57% vs. 51% overall)
Apparel/fashion brands are 25% more likely to claim full coordination compared to the overall average (50% vs. 40% overall), the highest rate of any vertical.
“Other” vertical respondents are 71% more likely to say channels operate independently (12% vs. 7% overall)
Enterprise companies are 13% more likely to report full coordination than the overall average (45% vs. 40% overall), while non-enterprise companies lag at 37%.
Both B2B and B2C businesses are 14% more likely than B2C-only to report full coordination (42% vs. 37%), possibly reflecting more mature orchestration infrastructure.
Q23: In your opinion, how coordinated are your channels when you activate around a cultural moment? (n=2,072)
| Option | % |
|---|---|
| Fairly confident: We segment, but it's not truly personalized | 55% |
| Very confident: We use real-time data to personalize | 41% |
| Not very confident: We mostly broadcast the same message | 4% |
| Not confident at all | 0% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Fairly confident: We segment, but it's not truly personalized | 55% | 60% | 56% | 48% |
| Very confident: We use real-time data to personalize | 41% | 37% | 39% | 48% |
| Not very confident: We mostly broadcast the same message | 4% | 3% | 5% | 3% |
| Not confident at all | 0% | 0% | 0% | 1% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Fairly confident: We segment, but it's not truly personalized | 55% | 47% | 55% | 65% | 55% | 51% | 59% |
| Very confident: We use real-time data to personalize | 41% | 49% | 42% | 31% | 38% | 46% | 33% |
| Not very confident: We mostly broadcast the same message | 4% | 3% | 3% | 3% | 6% | 2% | 8% |
| Not confident at all | 0% | 1% | 0% | 1% | 1% | 1% | 0% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Fairly confident: We segment, but it's not truly personalized | 55% | 48% | 59% |
| Very confident: We use real-time data to personalize | 41% | 49% | 36% |
| Not very confident: We mostly broadcast the same message | 4% | 3% | 5% |
| Not confident at all | 0% | 0% | 0% |
Key takeaways
US respondents are 17% more likely to be very confident in their targeting compared to the overall average (48% vs. 41% overall), while APAC trails at 37%.
Enterprise companies are 20% more likely than average to report high confidence in personalized targeting (49% vs. 41% overall), compared to just 36% for non-enterprise.
Apparel/fashion brands are 20% more likely to be very confident in reaching the right customers (49% vs. 41% overall), the highest of any vertical.
Health and sporting goods respondents are 24% less likely to report high confidence (31% vs. 41% overall)
C-Suite executives are 22% more likely than average to be very confident in their targeting precision (50% vs. 41% overall)
Both B2B and B2C businesses are 16% more likely to report high confidence compared to B2C-only firms (43% vs. 37%)
Q24: When you activate around a cultural moment, how confident are you that your team is reaching the right customers with the right message? (n=2,072)
| Option | % |
|---|---|
| AI-assisted content creation | 35% |
| Faster access to real-time customer data | 30% |
| Streamlined internal approvals | 17% |
| More pre-built templates and campaign frameworks | 13% |
| Clearer internal ownership of cultural moment marketing | 5% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| AI-assisted content creation | 35% | 32% | 37% | 35% |
| Faster access to real-time customer data | 30% | 35% | 29% | 31% |
| Streamlined internal approvals | 17% | 20% | 17% | 13% |
| More pre-built templates and campaign frameworks | 13% | 9% | 12% | 16% |
| Clearer internal ownership of cultural moment marketing | 5% | 4% | 5% | 5% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| AI-assisted content creation | 35% | 31% | 34% | 42% | 36% | 37% | 36% |
| Faster access to real-time customer data | 30% | 31% | 33% | 21% | 26% | 36% | 27% |
| Streamlined internal approvals | 17% | 16% | 18% | 21% | 21% | 10% | 18% |
| More pre-built templates and campaign frameworks | 13% | 16% | 11% | 12% | 13% | 12% | 13% |
| Clearer internal ownership of cultural moment marketing | 5% | 6% | 4% | 4% | 4% | 5% | 6% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| AI-assisted content creation | 35% | 36% | 37% |
| Faster access to real-time customer data | 30% | 33% | 28% |
| Streamlined internal approvals | 17% | 17% | 16% |
| More pre-built templates and campaign frameworks | 13% | 10% | 14% |
| Clearer internal ownership of cultural moment marketing | 5% | 4% | 5% |
Key takeaways
APAC respondents are 17% more likely to prioritize faster access to real-time customer data over the overall average (35% vs. 30% overall), making it their top choice.
Health and sporting goods marketers are 20% more likely to choose AI-assisted content creation (42% vs. 35% overall), the highest of any vertical.
Multi-category retailers are 20% more likely to prioritize real-time customer data (36% vs. 30% overall)
APAC is 18% more likely than average to cite streamlined internal approvals as a top accelerator (20% vs. 17% overall)
Founders/CEOs are 41% less likely to want streamlined approvals (10% vs. 17% overall)
VPs/Heads of Marketing are 24% more likely to want streamlined internal approvals (21% vs. 17% overall), the highest of any role.
Q25: What would most help your team halve the time it takes to launch a cultural moment activation? (n=2,072)
| Option | % |
|---|---|
| Generating content (e.g. copy, images, creative assets) | 42% |
| Optimizing send timing or channel selection | 34% |
| Audience segmentation and personalization | 33% |
| AI-powered customer service during event windows | 20% |
| Building full campaigns from brief to send | 19% |
| We don't use AI for cultural moment activations | 8% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Generating content (e.g. copy, images, creative assets) | 42% | 47% | 41% | 39% |
| Optimizing send timing or channel selection | 34% | 42% | 32% | 32% |
| Audience segmentation and personalization | 33% | 37% | 32% | 31% |
| AI-powered customer service during event windows | 20% | 22% | 18% | 25% |
| Building full campaigns from brief to send | 19% | 22% | 18% | 20% |
| We don't use AI for cultural moment activations | 8% | 6% | 8% | 14% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Generating content (e.g. copy, images, creative assets) | 42% | 47% | 40% | 33% | 40% | 47% | 40% |
| Optimizing send timing or channel selection | 34% | 33% | 37% | 36% | 34% | 34% | 27% |
| Audience segmentation and personalization | 33% | 34% | 30% | 38% | 42% | 33% | 28% |
| AI-powered customer service during event windows | 20% | 26% | 21% | 13% | 21% | 23% | 16% |
| Building full campaigns from brief to send | 19% | 18% | 18% | 19% | 21% | 24% | 13% |
| We don't use AI for cultural moment activations | 8% | 6% | 9% | 9% | 4% | 6% | 16% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Generating content (e.g. copy, images, creative assets) | 42% | 44% | 41% |
| Optimizing send timing or channel selection | 34% | 37% | 32% |
| Audience segmentation and personalization | 33% | 38% | 30% |
| AI-powered customer service during event windows | 20% | 25% | 17% |
| Building full campaigns from brief to send | 19% | 23% | 17% |
| We don't use AI for cultural moment activations | 8% | 6% | 10% |
Key takeaways
US respondents are 75% more likely to say they don’t use AI at all for cultural moment activations (14% vs. 8% overall)
Enterprise companies are 25% more likely to use AI-powered customer service during event windows (25% vs. 20% overall)
Founders/CEOs are 21% more likely to use AI for content generation (51% vs. 42% overall)
C-Suite executives are 36% more likely to use AI for audience segmentation (45% vs. 33% overall), the highest segmentation adoption among all roles.
B2C-only companies are 2x more likely to not use AI at all compared to Both B2B and B2C firms (12% vs. 6%), while B2B+B2C companies lead in every AI use case.
Both B2B and B2C companies are 44% more likely to use AI-powered customer service than B2C-only firms (23% vs. 16%)
Q26: How does your team currently use AI or automation for cultural moment activations? (n=2,072)
| Option | % |
|---|---|
| Positive - it could help us move faster | 54% |
| Already doing it or actively exploring | 25% |
| Unsure | 13% |
| Skeptical - I have concerns | 8% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Positive - it could help us move faster | 54% | 60% | 53% | 49% |
| Already doing it or actively exploring | 25% | 25% | 25% | 28% |
| Unsure | 13% | 9% | 14% | 13% |
| Skeptical - I have concerns | 8% | 6% | 8% | 10% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Positive - it could help us move faster | 54% | 49% | 58% | 56% | 52% | 56% | 48% |
| Already doing it or actively exploring | 25% | 31% | 24% | 25% | 28% | 30% | 18% |
| Unsure | 13% | 10% | 12% | 12% | 13% | 9% | 19% |
| Skeptical - I have concerns | 8% | 10% | 6% | 7% | 7% | 5% | 15% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Positive - it could help us move faster | 54% | 56% | 53% |
| Already doing it or actively exploring | 25% | 30% | 23% |
| Unsure | 13% | 9% | 15% |
| Skeptical - I have concerns | 8% | 5% | 9% |
Key takeaways
Directors and Managers are 13% more likely to be positive about vibe marketing (61% vs. 54% overall)
Founders/CEOs are 75% more likely to be skeptical about vibe marketing than average (14% vs. 8% overall), the highest skepticism rate of any role.
Enterprise companies are 30% more likely to already be practicing vibe marketing compared to non-enterprise (30% vs. 23%)
B2C-only companies are 83% more likely to be skeptical about vibe marketing compared to Both B2B and B2C firms (11% vs. 6%)
Both B2B and B2C firms are 38% more likely to already be doing vibe marketing compared to B2C-only firms (29% vs. 21%).
APAC respondents are 11% more likely to feel positive about vibe marketing (60% vs. 54% overall) and 31% less likely to be unsure (9% vs. 13% overall)
Q27: Some teams now define the outcome they want and let AI generate the content, audience, and launch the activation automatically - sometimes called “vibe marketing.” How do you feel about this? (n=2,072)
| Option | % |
|---|---|
| Brand building metrics (awareness, sentiment, social engagement) | 43% |
| Both short-term commercial and brand building | 31% |
| Short-term commercial metrics (revenue, conversions, customer acquisition) | 24% |
| We don't have a formal measurement approach | 2% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| Brand building metrics (awareness, sentiment, social engagement) | 43% | 47% | 45% | 36% |
| Both short-term commercial and brand building | 31% | 30% | 27% | 45% |
| Short-term commercial metrics (revenue, conversions, customer acquisition) | 24% | 21% | 26% | 17% |
| We don't have a formal measurement approach | 2% | 2% | 2% | 2% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| Brand building metrics (awareness, sentiment, social engagement) | 43% | 39% | 47% | 49% | 44% | 41% | 39% |
| Both short-term commercial and brand building | 31% | 31% | 30% | 27% | 33% | 34% | 30% |
| Short-term commercial metrics (revenue, conversions, customer acquisition) | 24% | 27% | 22% | 22% | 22% | 23% | 26% |
| We don't have a formal measurement approach | 2% | 3% | 1% | 2% | 1% | 2% | 5% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| Brand building metrics (awareness, sentiment, social engagement) | 43% | 42% | 43% |
| Both short-term commercial and brand building | 31% | 33% | 30% |
| Short-term commercial metrics (revenue, conversions, customer acquisition) | 24% | 23% | 24% |
| We don't have a formal measurement approach | 2% | 2% | 3% |
Key takeaways
US respondents are 45% more likely to measure both commercial and brand building compared to the overall average (45% vs. 31% overall)
VPs/Heads of Marketing are 26% more likely to prioritize brand building metrics (54% vs. 43% overall), the highest of any role.
Health and sporting goods brands are 14% more likely to prioritize brand building (49% vs. 43% overall), the highest vertical rate.
Both B2B and B2C companies are 18% more likely to use a dual measurement approach (33% vs. 28% for B2C-only)
Enterprise and non-enterprise companies measure cultural moments nearly identically on brand building (42% vs. 43%)
APAC respondents are 9% more likely to prioritize brand building (47% vs. 43% overall)
Q28: What is your primary measure of success for cultural moment activations? (n=2,072)
| Option | % |
|---|---|
| About the same | 56% |
| Cultural moments outperform | 37% |
| Cultural moments underperform | 7% |
| Overall | APAC | EMEA | US | |
|---|---|---|---|---|
| About the same | 56% | 53% | 56% | 60% |
| Cultural moments outperform | 37% | 38% | 38% | 33% |
| Cultural moments underperform | 7% | 9% | 6% | 7% |
| Overall | Apparel/fashion | Food, beverage, or CPG | Health and sporting goods | Home goods | Multi-category retailer | Other | |
|---|---|---|---|---|---|---|---|
| About the same | 56% | 49% | 59% | 56% | 55% | 56% | 59% |
| Cultural moments outperform | 37% | 44% | 35% | 37% | 39% | 38% | 32% |
| Cultural moments underperform | 7% | 7% | 6% | 7% | 6% | 6% | 9% |
| Overall | Enterprise | Non-enterprise | |
|---|---|---|---|
| About the same | 56% | 51% | 60% |
| Cultural moments outperform | 37% | 42% | 34% |
| Cultural moments underperform | 7% | 7% | 6% |
Key takeaways
Apparel/fashion brands are 19% more likely to say cultural moments outperform routine calendar marketing (44% vs. 37% overall), the highest of any vertical.
Enterprise companies are 14% more likely to report cultural moments outperforming routine marketing (42% vs. 37% overall), compared to 34% for non-enterprise.
Both B2B and B2C companies are 25% more likely than B2C-only to say cultural moments outperform (40% vs. 32%)
VPs/Heads of Marketing are 11% more likely to report outperformance (41% vs. 37% overall), while Directors/Managers are 8% less likely (34% vs. 37% overall)
US respondents are 11% less likely to report cultural moment outperformance (33% vs. 37% overall)
APAC respondents are 29% more likely to say cultural moments underperform (9% vs. 7% overall), the highest underperformance rate of any region.
Q29: Compared to your routine calendar marketing (e.g. Black Friday, Cyber Monday, holiday), how do cultural moment activations perform? (n=2,072)
HELLO@DATALILY.COM
Social media dominates as the top cultural moment channel at 46%, nearly 3x the next channel
Key takeaways
Apparel/fashion brands are 17% more likely to cite social media as their best channel (54% vs. 46% overall)
US respondents are 80% more likely to cite SMS as their best-performing channel (9% vs. 5% overall)
EMEA respondents are 30% more likely to cite WhatsApp as a top channel (13% vs. 10% overall)
Health and sporting goods brands are 80% more likely to cite WhatsApp as their best channel (18% vs. 10% overall), the highest of any vertical.
VP or Head of Marketing respondents are 60% more likely to cite influencer or creator partnerships (16% vs. 10% overall), the highest of any role.
Enterprise brands are 43% more likely to cite ads (TV, YouTube, Podcasts) as their best channel (10% vs. 7% overall), reflecting larger media budgets.
Q22: Which channel delivers the best results for your cultural moment activations? (n=2,072)