Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation

Zumstein, Darius; Rettenmund, Michèle; Gasser, Marc; Cantin, Virginie; Thüring, Urs; Kölle, Daniel

doi:10.21256/zhaw-2499

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-2499

Publication type:	Working paper – expertise – study
Title:	Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation
Authors:	Zumstein, Darius Rettenmund, Michèle Gasser, Marc Cantin, Virginie Thüring, Urs Kölle, Daniel
et. al:	No
DOI:	10.21256/zhaw-2499
Extent:	60
Issue Date:	Mar-2024
Publisher / Ed. Institution:	ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Publisher / Ed. Institution:	Winterthur
Language:	English
Subjects:	Marketing automation; Sales automation; Lead automation; Lead generation; Lead management; Lead research; Lead engagement; Lead scoring; Maturity index; Artificial intelligence
Subject (DDC):	658.8: Marketing management
Abstract:	Three hundred and eighty-five companies from Switzerland and Germany participated in this study on the maturity of lead management. The study, which focused on business-to-business (B2B), was conducted between November 2023 and January 2024, and shows that using artificial intelligence (AI) in lead management is becoming increasingly important. In particular, the areas of lead research, lead generation, lead engagement, lead scoring, and lead automation were analyzed. Based on the results, the Lead Automation Maturity Index (LAMI) was calculated for each company, and recommendations for action were derived. In the area of lead research, LinkedIn was found to be the most important source of contact data, with 58 percent, followed by events and personal recommendations. This finding underlines the importance of social networks and direct interactions in the B2B sector for data collection. Regarding lead generation, 38 percent of companies rate their strategies as successful but see further potential for optimization. In terms of lead engagement, it is striking that 41 percent of companies prefer personal interaction with interested parties. For lead scoring, it is worth noting that 56 percent of companies are still evaluating manually, indicating significant potential for efficiency gains through automation and AI. An analysis of the current situation reveals that despite advancing digitalization and AI-supported tools, personal interactions and networks still play a central role in lead management. The findings in Section 3 underline the high transformative potential of artificial intelligence and automation for marketing strategies and customer communication. Companies that use AI technologies can significantly increase lead generation and qualification efficiency through more precise customer data analysis, improved predictions of customer behavior, and personalized marketing communication. The most frequently mentioned AI use case in lead management is the automated personalization of emails and follow-ups for contact lists, which are increasingly being generated with AI. Most respondents see the recognition of a lead’s readiness to buy through AI as an important use case. Almost half consider it beneficial to increase the deliverability of emails and engagement in social media using AI. Forty-three percent of B2B companies consider it worthwhile to adapt website content dynamically based on user behavior or, in 27 percent of cases, even create it individually. For 37 percent, it would be helpful to pass on ready-to-buy leads to the sales team automatically in response to AI-based lead scoring. Almost half of the companies surveyed are still in the “learning” phase concerning AI. These companies want to understand how to utilize AI in their business and are exploring initial use cases. The other half is already in the “testing” phase. These companies carry out smaller pilot projects for specific AI applications. Only five percent of the companies are advanced in AI and already in the “scaling” phase. They have implemented AI tools widely in their business processes and are scaling up. Just seven percent do not have any confidence in AI. The study results suggest that only a few companies currently benefit from the advantages of AI and automation in lead generation, although most respondents recognize the potential. The average LAMI is only 36 points on a scale of 0 to 100. Individual sectors – such as technology providers and consultants – and several other companies have progressed. However, Section 4 shows that the majority still have room for improvement in the five dimensions of LAMI. Limited resources and skills are by far the biggest obstacle to introducing AI in marketing.
URI:	https://digitalcollection.zhaw.ch/handle/11475/30620
License (according to publishing contract):	Not specified
Departement:	School of Management and Law
Organisational Unit:	Institute of Marketing Management (IMM)
Appears in collections:	Marketing

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Zumstein, D., Rettenmund, M., Gasser, M., Cantin, V., Thüring, U., & Kölle, D. (2024). Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-2499

Zumstein, D. et al. (2024) Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-2499.

D. Zumstein, M. Rettenmund, M. Gasser, V. Cantin, U. Thüring, and D. Kölle, “Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation,” ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Winterthur, Mar. 2024. doi: 10.21256/zhaw-2499.

ZUMSTEIN, Darius, Michèle RETTENMUND, Marc GASSER, Virginie CANTIN, Urs THÜRING und Daniel KÖLLE, 2024. Marketing Automation & AI Report 2024 : tactics & tools of AI-based lead generation. Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften

Zumstein, Darius, Michèle Rettenmund, Marc Gasser, Virginie Cantin, Urs Thüring, and Daniel Kölle. 2024. “Marketing Automation & AI Report 2024 : Tactics & Tools of AI-Based Lead Generation.” Winterthur: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-2499.

Zumstein, Darius, et al. Marketing Automation & AI Report 2024 : Tactics & Tools of AI-Based Lead Generation. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Mar. 2024, https://doi.org/10.21256/zhaw-2499.