GITNUXREPORT 2025

Complements Statistics

Complement recommendations significantly boost sales, loyalty, and customer satisfaction.

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

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Statistic 1

85% of consumers say that product recommendations based on complements influence their purchasing decisions

Statistic 2

80% of product recommendations are based on complements that the customer previously viewed or purchased

Statistic 3

45% of consumers admit they would spend more on a purchase if they received personalized complements

Statistic 4

92% of consumers want personalized product recommendations, including complements, according to a Salesforce report

Statistic 5

58% of online shoppers look for product recommendations that are tailored to their preferences

Statistic 6

68% of consumers say that relevant product complements enhance their shopping experience

Statistic 7

54% of consumers prefer shopping environments where product complements are easily accessible and recommended

Statistic 8

76% of shoppers who receive product complements are more likely to revisit the store

Statistic 9

63% of consumers view complements as essential parts of their shopping decision-making process

Statistic 10

Retailers with integrated complement recommendation systems see a 50% faster product discovery process

Statistic 11

Product complements account for nearly 60% of ancillary sales in retail

Statistic 12

58% of consumers prefer to receive complement recommendations based on their browsing history

Statistic 13

41% of shoppers say that complement recommendations influence their brand preference

Statistic 14

74% of consumers are willing to wait longer for delivery if they receive tailored complement recommendations

Statistic 15

66% of consumers feel that the presence of relevant complements simplifies their shopping process

Statistic 16

70% of online shoppers are more likely to purchase when they see complementary products suggested

Statistic 17

Cross-selling increases average order value by 10-30%

Statistic 18

55% of companies implementing product complement strategies see a significant boost in sales

Statistic 19

Businesses that use personalized product complements see a 25% increase in conversion rates

Statistic 20

48% of consumers are likely to buy additional products if their shopping experience includes relevant complements

Statistic 21

On average, online marketplaces with effective complement recommendations see a 20% increase in sales

Statistic 22

65% of retailers report that upselling and cross-selling via complements contribute significantly to revenue

Statistic 23

50% of consumers are more likely to buy a product if the retailer suggests complements during the checkout process

Statistic 24

72% of online stores that leverage complements see a measurable increase in cart size

Statistic 25

78% of consumers have purchased a product because a related complement was recommended

Statistic 26

Product recommendations based on complements led to a 35% increase in cross-sell revenue in retail stores

Statistic 27

55% of consumers purchase additional items after being recommended complements during their shopping journey

Statistic 28

47% of product upselling occurs through complementary product suggestions

Statistic 29

Customer lifetime value increases by 20% when businesses effectively suggest and sell complementary products

Statistic 30

33% of consumers say they have purchased a product primarily because a recommended complement caught their attention

Statistic 31

72% of online retail managers believe that cross-selling and upselling are crucial for their revenue stream

Statistic 32

Implementing complement strategies can boost average order value by up to 15%

Statistic 33

Mobile shoppers are 30% more likely to purchase a product if complements are recommended via mobile-friendly formats

Statistic 34

40% of e-commerce companies report that their core growth is driven by effective complement recommendations

Statistic 35

Personalized complement recommendations can increase conversion rates by up to 23%

Statistic 36

AI-driven complement suggestions result in a 33% higher sales conversion rate compared to generic suggestions

Statistic 37

62% of online shoppers have purchased an item based on a complement suggestion during checkout

Statistic 38

81% of consumers are more likely to buy from brands that suggest relevant complements

Statistic 39

44% of e-commerce businesses plan to increase investment in recommendation engines that enhance complement suggestions

Statistic 40

20% of retail revenue is generated from cross-sell and upsell strategies involving complements

Statistic 41

Consumers are 2.5 times more likely to purchase additional products when multiple relevant complements are recommended simultaneously

Statistic 42

57% of online consumers would abandon a purchase if relevant complements were not suggested

Statistic 43

69% of retail managers see complement product suggestions as a key factor in improving basket size

Statistic 44

The use of visual cues in recommending complements increases conversion by 18%

Statistic 45

The average retailer deploys 5-7 methods to recommend complements on their site

Statistic 46

Cross-selling through complements accounts for an estimated 40% of retail profits

Statistic 47

52% of online shoppers say they have added a recommended complement to their cart after browsing

Statistic 48

65% of consumers prefer stores that recommend relevant complements during their shopping journey

Statistic 49

88% of the effectiveness of recommendation systems hinges on their ability to accurately suggest relevant complements

Statistic 50

Companies utilizing machine learning for complement suggestions see a 27% increase in sales uplift

Statistic 51

30% of all e-commerce revenue can be attributed to successful upselling and cross-selling of complements

Statistic 52

Over 50% of retail product page conversions improve with the strategic placement of complements

Statistic 53

80% of successful retail strategies incorporate complement recommendations as a core part

Statistic 54

100% of top-performing e-commerce sites use some form of complement suggestion to enhance customer experience

Statistic 55

45% of customers say they purchase more when they're offered personalized product complements during their shopping journey

Statistic 56

Businesses that optimize complement recommendations experience up to a 20% lift in cross-sell revenue annually

Statistic 57

60% of consumers feel more satisfied when they find recommended complements that match their needs

Statistic 58

Product complements can increase customer retention rates by up to 15%

Statistic 59

Retailers utilizing AI for complement product suggestions report a 40% higher customer satisfaction level

Statistic 60

83% of consumers are more loyal to brands that provide personalized recommendations, including complements

Statistic 61

29% of consumers feel that complements influence their loyalty to brands

Statistic 62

Personalized complements contribute to a 15% increase in customer satisfaction scores

Statistic 63

Customers who receive personalized complements are 30% more likely to make repeated purchases

Statistic 64

Retailers who integrated complement recommendations see an average growth of 12% in repeat customer rates

Statistic 65

Implementing complement recommendations can reduce cart abandonment rates by up to 15%

Statistic 66

E-commerce businesses using recommendation engines experience a 25% lift in overall sales

Statistic 67

Visually appealing complement displays increase click-through rates by up to 22%

Statistic 68

Utilizing social proof in complement recommendations can increase conversions by 15%

Statistic 69

The presence of tailored complements on product pages reduces bounce rates by approximately 12%

Statistic 70

Regular analysis of complement performance boosts sales efficiency, with 42% of retailers reporting improvements after optimization

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Key Highlights

85% of consumers say that product recommendations based on complements influence their purchasing decisions
70% of online shoppers are more likely to purchase when they see complementary products suggested
Cross-selling increases average order value by 10-30%
55% of companies implementing product complement strategies see a significant boost in sales
60% of consumers feel more satisfied when they find recommended complements that match their needs
Businesses that use personalized product complements see a 25% increase in conversion rates
80% of product recommendations are based on complements that the customer previously viewed or purchased
48% of consumers are likely to buy additional products if their shopping experience includes relevant complements
On average, online marketplaces with effective complement recommendations see a 20% increase in sales
65% of retailers report that upselling and cross-selling via complements contribute significantly to revenue
Product complements can increase customer retention rates by up to 15%
50% of consumers are more likely to buy a product if the retailer suggests complements during the checkout process
72% of online stores that leverage complements see a measurable increase in cart size

Unlock the secret to increasing sales and customer satisfaction: strategic use of product complements can boost your revenue by up to 35%, influence purchasing decisions for over 85% of consumers, and create a more personalized, engaging shopping experience.

Consumer Behavior and Preferences

85% of consumers say that product recommendations based on complements influence their purchasing decisions
80% of product recommendations are based on complements that the customer previously viewed or purchased
45% of consumers admit they would spend more on a purchase if they received personalized complements
92% of consumers want personalized product recommendations, including complements, according to a Salesforce report
58% of online shoppers look for product recommendations that are tailored to their preferences
68% of consumers say that relevant product complements enhance their shopping experience
54% of consumers prefer shopping environments where product complements are easily accessible and recommended
76% of shoppers who receive product complements are more likely to revisit the store
63% of consumers view complements as essential parts of their shopping decision-making process
Retailers with integrated complement recommendation systems see a 50% faster product discovery process
Product complements account for nearly 60% of ancillary sales in retail
58% of consumers prefer to receive complement recommendations based on their browsing history
41% of shoppers say that complement recommendations influence their brand preference
74% of consumers are willing to wait longer for delivery if they receive tailored complement recommendations
66% of consumers feel that the presence of relevant complements simplifies their shopping process

Consumer Behavior and Preferences Interpretation

As the data suggests, in the era of personalized shopping, consumers increasingly view relevant complements as essential navigational tools that not only influence their purchasing choices but also enhance their loyalty, making tailored recommendations the key to faster discovery and more profitable retail ecosystems.

Cross-selling and Upselling Techniques

70% of online shoppers are more likely to purchase when they see complementary products suggested
Cross-selling increases average order value by 10-30%
55% of companies implementing product complement strategies see a significant boost in sales
Businesses that use personalized product complements see a 25% increase in conversion rates
48% of consumers are likely to buy additional products if their shopping experience includes relevant complements
On average, online marketplaces with effective complement recommendations see a 20% increase in sales
65% of retailers report that upselling and cross-selling via complements contribute significantly to revenue
50% of consumers are more likely to buy a product if the retailer suggests complements during the checkout process
72% of online stores that leverage complements see a measurable increase in cart size
78% of consumers have purchased a product because a related complement was recommended
Product recommendations based on complements led to a 35% increase in cross-sell revenue in retail stores
55% of consumers purchase additional items after being recommended complements during their shopping journey
47% of product upselling occurs through complementary product suggestions
Customer lifetime value increases by 20% when businesses effectively suggest and sell complementary products
33% of consumers say they have purchased a product primarily because a recommended complement caught their attention
72% of online retail managers believe that cross-selling and upselling are crucial for their revenue stream
Implementing complement strategies can boost average order value by up to 15%
Mobile shoppers are 30% more likely to purchase a product if complements are recommended via mobile-friendly formats
40% of e-commerce companies report that their core growth is driven by effective complement recommendations
Personalized complement recommendations can increase conversion rates by up to 23%
AI-driven complement suggestions result in a 33% higher sales conversion rate compared to generic suggestions
62% of online shoppers have purchased an item based on a complement suggestion during checkout
81% of consumers are more likely to buy from brands that suggest relevant complements
44% of e-commerce businesses plan to increase investment in recommendation engines that enhance complement suggestions
20% of retail revenue is generated from cross-sell and upsell strategies involving complements
Consumers are 2.5 times more likely to purchase additional products when multiple relevant complements are recommended simultaneously
57% of online consumers would abandon a purchase if relevant complements were not suggested
69% of retail managers see complement product suggestions as a key factor in improving basket size
The use of visual cues in recommending complements increases conversion by 18%
The average retailer deploys 5-7 methods to recommend complements on their site
Cross-selling through complements accounts for an estimated 40% of retail profits
52% of online shoppers say they have added a recommended complement to their cart after browsing
65% of consumers prefer stores that recommend relevant complements during their shopping journey
88% of the effectiveness of recommendation systems hinges on their ability to accurately suggest relevant complements
Companies utilizing machine learning for complement suggestions see a 27% increase in sales uplift
30% of all e-commerce revenue can be attributed to successful upselling and cross-selling of complements
Over 50% of retail product page conversions improve with the strategic placement of complements
80% of successful retail strategies incorporate complement recommendations as a core part
100% of top-performing e-commerce sites use some form of complement suggestion to enhance customer experience
45% of customers say they purchase more when they're offered personalized product complements during their shopping journey
Businesses that optimize complement recommendations experience up to a 20% lift in cross-sell revenue annually

Cross-selling and Upselling Techniques Interpretation

In the digital marketplace, clever complement strategies—ranging from personalized suggestions to AI-powered cross-sells—are transforming browsing into buying, with over 70% of consumers responding positively, proving that when it comes to boosting sales, seeing is believing and suggesting is succeeding.

Customer Satisfaction and Loyalty

60% of consumers feel more satisfied when they find recommended complements that match their needs
Product complements can increase customer retention rates by up to 15%
Retailers utilizing AI for complement product suggestions report a 40% higher customer satisfaction level
83% of consumers are more loyal to brands that provide personalized recommendations, including complements
29% of consumers feel that complements influence their loyalty to brands
Personalized complements contribute to a 15% increase in customer satisfaction scores
Customers who receive personalized complements are 30% more likely to make repeated purchases
Retailers who integrated complement recommendations see an average growth of 12% in repeat customer rates

Customer Satisfaction and Loyalty Interpretation

In an era where personalized touches turn browsers into loyal patrons, leveraging recommending complements not only enhances satisfaction—claimed by 60% of consumers—but also fuels a 12% boost in repeat business, proving that smart AI-powered suggestions are truly the currency of modern retail loyalty.

E-commerce and Online Shopping Strategies

Implementing complement recommendations can reduce cart abandonment rates by up to 15%
E-commerce businesses using recommendation engines experience a 25% lift in overall sales
Visually appealing complement displays increase click-through rates by up to 22%
Utilizing social proof in complement recommendations can increase conversions by 15%
The presence of tailored complements on product pages reduces bounce rates by approximately 12%

E-commerce and Online Shopping Strategies Interpretation

Harnessing smart complement strategies—from eye-catching displays to social proof—can transform your e-commerce site into a sales powerhouse, slashing cart abandonment and boosting conversions with impressive precision.

Retail Strategy and Performance Optimization

Regular analysis of complement performance boosts sales efficiency, with 42% of retailers reporting improvements after optimization

Retail Strategy and Performance Optimization Interpretation

Regularly analyzing complement performance isn't just smart business—it's proven to boost sales efficiency, with nearly half of retailers reaping notable improvements through optimization.

Sources & References

Reference 26
RETAILTECH
Research Publication(2024)
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