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Big data marketing

A Big Data marketing project needs clear business objectives, suitable data and a way to assess results. Start with the customer questions the business needs to answer, the sources available for that purpose and the process for handling enquiries. Data quality and a relevant offer matter as much as the choice of tool.

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Assessing a Big Data marketing service

Big Data marketing proposals should be assessed against their actual data sources, current functionality and commercial terms. Before choosing a service, confirm how information is obtained, what uses are supported and how results will be measured. Discuss the proposed setup and your business requirements with ABS Marketing without assuming access to competitors’ customer records.
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What to check in a Big Data proposal

Evidence of suitability

Ask for evidence relevant to your intended use, including how results were measured. Provider-wide figures alone do not establish what a particular campaign will achieve.

Required tools

List the analysis, campaign and reporting tasks needed for the project. Confirm which are currently supported and which require separate tools or work.

Data sources

Check the origin, coverage, freshness and intended use of the data. Distinguish an aggregate audience insight from an identifiable person's contact details.

Provider and security information

Review current provider documentation, access controls and data-handling arrangements. Verify any registration or certification claim rather than treating it as a complete assurance of suitability.

Contract and measurement

Define deliverables, qualification criteria and costs in the agreement. Make clear which outcomes are measured and which factors remain outside the provider's control.

Questions a data-informed marketing project can address

  • No clear enquiry channel
  • Identify a contact route the business controls, such as its own listing, form or telephone number, before deciding how a campaign should direct responses.

  • Unclear return on spending
  • Connect campaign costs with relevant enquiries and sales outcomes where the available data supports that comparison.

  • Finding relevant audiences
  • Define customer needs and evaluate suitable advertising or enquiry channels. Test the proposed approach before assuming it will produce a particular volume of contacts.

  • Disconnected records
  • Review whether supported CRM connections can bring enquiry context, source information and follow-up status into a usable record.

  • Planning growth
  • Assess platform limits, data quality and the team’s capacity to handle additional enquiries before expanding the project.

    Planning the data and campaign workflow

    Review the business’s own campaign and enquiry data to identify useful patterns. Public competitive research can provide context, but does not establish competitors’ private sales results.
    Record where any contact information comes from and whether it is suitable for the intended use. Do not treat a visit to another company’s website as proof of a contact relationship with your business.
    Assess audience options supported by the chosen channels. Confirm their source and permitted use before planning communications to particular recipients.
    Use the information people supply to your business to answer their requests. Check the relevant permissions and channel requirements before any separate marketing communication.
    Use relevant business information to assess potential customer organisations. Record sources and check the accuracy and intended use of contact details before outreach.
    Connect the offer, enquiry channels and team responsibilities. Define qualification, routing and follow-up steps around the systems the business actually uses.
    Compare campaign activity, enquiry quality and costs with the agreed objectives. Record data limitations and use the findings to decide which changes to test.

    Our work

    Explore our case studies to see how we approach projects and support our clients’ goals.

    Steps in a Big Data marketing project

    Understand the business

    Define the objective, audience, current channels and information available to the team. Identify what additional data would be useful and whether it can appropriately be used.

    Agree the scope

    Record the confirmed sources, deliverables, qualification criteria and costs. Separate provider usage charges from configuration, analysis and support work.

    Prepare communications

    Draft messages and response guidance around the actual offer and the context in which a person contacts the business.

    Test the data flow

    Check a limited sample for quality and verify any supported transfer into the CRM. Confirm team responsibilities and resolve missing or incorrect fields before expansion.

    Review feedback and results

    Use the team’s experience of handling enquiries alongside campaign reports. Adjust sources or workflows only when the findings support the change.

    Project pricing

    Big Data marketing project cost

    Price on request

    Discuss your Big Data marketing requirements

    A data-informed marketing approach should connect a clear objective with suitable sources and measurable actions. Confirm current provider capabilities, data requirements and costs before choosing a setup or committing to a larger campaign.

    Contact ABS Marketing to discuss the business question, available data and work required to assess a proposed Big Data solution.
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    OUR TEAM

    Behind every successful project is a team where experience, creativity, and collaboration come together. Our agency brings together experts from various fields of marketing: from strategy and analytics to design and social media management. We understand the market, know the tools, and speak the language of business.

    WHY CAN YOU TRUST US?

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