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How LLamasoft used SoPro campaigns to drive sales without building out internal business development teams

Company profile

Location:

UK

Product/Service:

LLamasoft solutions enable companies across a wide range of industries to model, optimise and simulate their supply chain network, leading to major improvements in cost, service, sustainability and risk mitigation

Deal cycle:

6 - 12 months

Target profile

Location:

UK, Ireland, Netherlands, France Spain and Italy

Company size:

500 - 10,000 FTE

Role/Function:

How Llamasoft connected with key decision-makers using Sopro

Headline results

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£67 cost per lead
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3% lead rate
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10% response rate
logo-coral
£67 cost per lead 3% lead rate 10% response rate

Company description

LLamasoft is a leader in supply chain excellence and innovation, advancing technology focused on continuous improvement of enterprise supply chains for the world’s largest organisations. Their powerful supply chain design and optimisation software helps companies to cost-effectively meet customer needs in a changing world.

Objectives

Identify and engage with senior roles in logistics and supply chain, introduce the Llamasoft brand and proposition and invite prospects onto a qualifying phone call.

Our solution

Campaign performance breakdown

Sector Prospects Opened Opened % Responses Response % Leads Lead Rate % Cost Per Lead
Retail 760 452 28% 63 8% 9 1% £168.89
Food & Beverages 501 201 21% 41 8% 14 3% £71.57
Oil & Energy 367 152 15% 25 7% 12 3% £61.17
Food Production 321 148 23% 34 11% 12 4% £53.50
Pharmaceuticals 321 205 22% 25 8% 7 2% £91.71
Apparel & Fashion 174 105 23% 20 11% 7 4% £49.71
Automotive 167 151 31% 26 16% 12 7% £27.83
Consumer Goods 167 119 31% 19 11% 8 5% £41.75
Transportation/Trucking/Railroad 91 77 28% 6 7% 2 2% £91.00
Luxury Goods & Jewellery 86 59 23% 10 12% 4 5% £43.00

 

Company Size Prospects Opened Opened % Responses Response % Leads Lead Rate % Cost Per Lead
501-1000 10 9 33.3% 2 20.0% 1 10.0% £20.00
1001-5000 1177 709 26.5% 124 10.5% 33 2.8% £71.33
5001-10,000 790 463 23.1% 67 8.5% 25 3.2% £63.20
10,001+ 1788 1076 23.7% 173 9.7% 54 3.0% £66.22

 

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