Managed-Marketing-Automation

Erkunden Sie auch unsere Marketing Automation Lösungen und CRM-Systeme.

Mehr zu Marketing Automation erfahren Sie bei HubSpot, einem führenden Anbieter im Bereich Marketing-Technologie.


Managed-Marketing-Automation

Knowledge-based. Personalised. Tailored. Scalable.

Save time with marketing automation whilst remaining more targeted.

With marketing automation, you can manage your marketing processes in a targeted and time-efficient manner – from the initial contact right through to successful customer retention. Instead of manual, individual steps, campaigns run automatically and are data-driven: emails, landing pages, follow-ups and lead nurturing are tailored to the behaviour and interests of your individual contacts.

We support you in introducing and implementing a high-performance marketing automation solution – tailor-made to your goals, systems and requirements. You benefit from personalised communication, higher conversion rates and clear, real-time analytics at the individual contact level.
Particularly valuable: your sales and marketing teams work more closely together, processes become more transparent and leads are qualified more efficiently.

Marketing Automation

More efficient processes, better results

Marketing-Automation

Marketing automation is essential for efficient, targeted and measurable communication throughout the entire customer journey. It enables companies to automate marketing processes, systematically nurture prospects and leads, and strengthen customer relationships in the long term – all with less manual effort.

Marketing automation allows you to automate recurring tasks such as sending emails, triggering follow-up campaigns or segmenting target groups. This ensures you always reach your customers at the right time – with exactly the message that interests them.

Greater relevance through personalisation
By combining customer data, interests and behaviour, content can be tailored to each individual. This not only boosts open and click-through rates, but also significantly improves the customer experience. Users receive exactly the information that is relevant to them – without any wastage.

Scalable processes for marketing and sales
Marketing automation not only takes the pressure off the marketing team but also strengthens the sales function: leads are pre-qualified in a targeted manner and handed over to the sales team at the right time. This shortens sales cycles and enables your teams to collaborate more efficiently – all managed from the central CRM system.

Measurable and data-driven
Successful marketing automation is based on data and insights. You can track at any time which campaigns are working, where prospects drop out and how customer behaviour is evolving. This allows you to continuously optimise your communication – in real time and based on valid figures.

Marketing automation with gid GmbHAs experienced experts in CRM and marketing processes, we support you in selecting, implementing and optimising your marketing automation – for example, with CAS genesisWorld or the purely cloud-based CRM SmartWe. We analyse your requirements, develop smart workflows and ensure seamless integration into your existing system landscape.

Discover just how simple and effective marketing automation can be – and how it can genuinely improve your customer acquisition and retention.

Typical challenges in marketing

Why traditional Marketing often doesn’t work:

Untargeted approach

Use of generic target groups that are not tailored to the contact’s needs (brand loyalty, product benefits rather than customer benefits).

Poor timing

Communication is sent at the wrong time or contains the wrong content (where is the customer on their individual customer journey?).

Lack of personalised insights

Insights provide little information about individuals (email open rates are a thing of the past; today, it’s all about profile-based information).

Difficulty in measuring success

Measuring success is virtually impossible, as is the resulting optimisation. Success is assessed based on reactions to the campaign, not on turnover, customer loyalty or other quantitative metrics.

High wastage

Your marketing measures are often ineffective and expensive, leading to damage to your brand’s image and frustrated customers. This reduces your customers’ willingness to engage with your content.

Root of the Problem

Many companies face the problem that marketing and sales operate in separate departments. This leads to significant difficulties that undermine the efficiency and success of their initiatives:

  • Inadequate information sharing: The needs and information that the sales team receives from customers do not reach the marketing team. As a result, marketing initiatives often fail to address what customers actually need.
  • Data silos: Data from systems such as ERP and online shops is not fed into marketing. This results in important information being lost and data records being entered twice.
  • Capacity issues : pecialists often have limited capacity. This makes it difficult to utilise and analyse the available data and leads to inefficient processes.
datensilos wrong
datensilos true

The solution

 

Marketing and sales must work together to be successful. With a centralised data platform, both departments can share all key information and work more effectively.

  • More information about customers: Gain detailed insights into your customers to engage with them more effectively.
  • Targeted responses: Respond to your customers’ behaviour, such as a purchase, to strengthen customer loyalty.
  • Tracking customer activities: See what your existing customers are doing in marketing to better understand the success of your sales campaigns.
  • Turning leads into customers: Support prospective customers right from the start and turn them into satisfied customers.

How it works

Making valuable customer
data from various sources usable

 

Starting point

Imagine you run a trades business specialising in heating, plumbing and air conditioning.

Your objectives are:

  • To attract new customers: e.g. for heating installations or bathroom renovations.

  • To strengthen customer loyalty to sell regular maintenance and repairs.

Customer data from various sources:

  • CRM-System: Basic information such as name, address, telephone number and completed projects.

  • Invoicing software: Information about previous services (e.g. heating installation).
  • Social media: Interactions such as ‘likes’ or comments on your post about ‘maintenance contracts’.
  • Emails: Data on opened newsletters and clicks on offers, e.g. ‘10% discount on heating maintenance’.

Collecting
data

 

 

Customer data comes from various systems, such as your CRM (Customer Relationship Management), stock management systems, online shops and even external sources such as public directories or social media.

  • Your customer, Peter Schmidt, had a new heating system installed by you last year. This information is stored in your CRM and invoicing software.
  • Peter opened your newsletter and clicked on an article about ‘Saving energy in winter’. This data comes from your newsletter tool.
  • On Facebook, he liked your post about ‘Efficient heating maintenance’.

Result:

  • All this data is collected and stored in a central system.
funktionsweise daten sammeln
funktionsweise daten zusammenfuehren

Merging data

 

This data is merged via a central platform. This can be done via interfaces or so-called ‘interface servers’, which connect the various systems to one another.

This creates a unified customer profile that brings together all relevant information in one place.

 

  • Name: Peter Schmidt
  • Address: 12 Musterstraße, Musterstadt
  • Last service: Heating installation (12 months ago).
  • Interests: Heating maintenance, saving energy.
  • Behaviour: Clicked on ‘Saving energy in winter’ and liked your social media post.

Result:

  • All the information about Peter is available in one place, and you have a complete picture of him.

Analysing Data

 

The collected data is analysed using AI. The AI recognises patterns and helps to understand customers’ preferences and behaviour.

 

  • The system detects that Peter’s heating system was installed 12 months ago. It is due for a service soon.
  • His interactions show that he is interested in ‘saving energy’ – an indication that he values efficiency.
  • The analysis also shows that customers like Peter, who are interested in energy efficiency, are often interested in smart home solutions.

Result:

  • The system suggests offering Peter a heating service and sending him information about smart home solutions.
funktionsweise daten analysieren
funktionsweise erstellung personalisierter profile

Creating personalised profiles

 

Based on the analysed data, individual customer profiles – known as personas – are created. These profiles are highly detailed and help to plan targeted marketing initiatives.

 

  • Type: Customer interested in maintenance.
  • Characteristics: Focus on energy efficiency; interested in additional services such as smart home solutions.
  • Next steps: Maintenance offer and introduction to smart home products.

Result:

  • You know exactly what interests Peter and can respond to him in a targeted manner.
  • Digital
  • Automated
  • Data protection compliant

Targeted marketing campaigns

 

Based on individual customer profiles, targeted marketing campaigns are launched automatically. These may include personalised emails, special offers or bespoke advertising.

 

  • Subject: “Peter, now is the perfect time for your heating service!”
  • Content: “We’re offering you a maintenance contract with a 10 per cent discount. This will keep your heating system running efficiently and help you save energy.”

Result:

  • Peter feels understood and that the message is relevant to him. This increases the likelihood that he will book the maintenance or show an interest in a smart home solution.
funktionsweise gezielte marketingmassnahmen

Case Studies

Examples by sector

 

Problem

‘Claudia Herzog’ receives furniture leaflets in her letterbox every week. Typically, Ms Herzog buys new furniture, such as a kitchen, every 7–10 years.

Ms Herzog only reads the leaflets when she is actively considering a purchase. The rest of the time, when she has no need, she does not read the leaflet or take any notice of the furniture store.

 

Problembeispiel

Solution

Ms Herzog’s purchasing behaviour is known from delivery records, invoices or loyalty cards.

If Mrs Herzog has only recently bought a kitchen, she will not receive information about kitchens, but, for example, about kitchen-related products such as crockery.

The targeted delivery of this information can be financed, for example, by an advertising subsidy.

Lösungsbeispiel

 

Problem

Bianca Schröder has bought a new car and has to organise her own upcoming service appointments.
She decides for herself when and where to have the service carried out – whether at the authorised dealership or
an independent garage, such as for a tyre change.

Auto Werkstatt Problem

Solution

The car dealership uses the date of purchase and its internal data to maintain regular contact with Bianca.
Service and MOT appointments can be calculated in advance and sent as reminders.
Known service intervals, such as the usual tyre change at Easter, are planned proactively.

The car dealership informs Bianca in good time, based on available workshop slots,
and offers her a suitable appointment. In this way, the car dealership stays in touch and strengthens customer loyalty.

Auto Werkstatt Lösung

 

Problem

The company ‘Strom & Co. AG’ wishes to attract new customers and re-engage former ones.
It offers various unique selling points, such as sustainable electricity or affordable contracts for industrial electricity.
However, not all offers are relevant to every contact – private customers do not need industrial electricity, and sustainability may only be of interest to private individuals.

Problem Stromanbieter

Solution

Based on profile characteristics (e.g. private or business customer, existing or new customer, address, sector), the unique selling points can be tailored specifically and presented to the respective contacts.

Example: A company interested in sustainability receives information about industrial electricity combined with details on sustainable electricity generation in its sector or region.

For private individuals, the offer can be linked to the reason for cancellation by explaining that the higher price is due to a commitment to sustainability in the region.
This makes the offer personalised and relevant to each contact.

Lösung Stromanbieter

Fazit

Conclusion

*Managed Marketing Automation refers to the fully automated, targeted and immediate delivery of (communication) content to individual recipients based on their specific needs, preferences or requirements.

Why is this important??

Relevanz

Sie bieten Ihren Kunden genau das an, was sie brauchen und wann sie es brauchen.

Effizienz

Sie sparen Zeit und Ressourcen, da die Marketingmaßnahmen automatisch und gezielt ablaufen.

Erfolg

Durch personalisierte und relevante Angebote erhöhen Sie die Zufriedenheit und Bindung Ihrer Kunden, was zu mehr Verkäufen führt.

Relevance

You offer your customers exactly what they need, when they need it.

Efficiency

You save time and resources, as marketing activities run automatically and in a targeted manner.

Success

Through personalised and relevant offers, you increase customer satisfaction and loyalty, which leads to more sales.

Frequently Asked Questions

Do you have any questions?

 

Managed Marketing Automation (MMA) combines modern technology with expert knowledge to automate marketing and sales processes. It collects and analyses customer data, creates personalised messages and sends them automatically at the right time via various channels.

 

MMA saves time and resources, improves efficiency and increases the relevance of your marketing campaigns. It helps you to better understand your customers and target them effectively, leading to higher customer satisfaction and increased revenue.

 

MMA can be seamlessly integrated with your existing systems, such as CRM, ERP and online shops. Through interfaces and data platforms, all relevant information is consolidated to create a comprehensive customer profile.

 

Yes, our solution is GDPR-compliant and was developed in Germany. You can be sure that all customer data is processed securely and in accordance with data protection regulations.