Alliant

What is third-party marketing data?

Third-party marketing data is information about consumers or businesses that is collected and aggregated by organizations other than the brand using it. Marketers use third-party data to expand reach, enrich first-party data, improve targeting, and gain insight into audiences they do not already know well. Alliant provides people-based third-party data that combines deterministic purchase behavior with psychology-driven insight, helping brands understand not only what people do, but why they do it. That makes Alliant useful for enrichment, targeting, modeling, and activation across channels.

How to use external data to gain customer insight?

You can use external data to enrich your customer file, uncover patterns, segment more effectively, and identify opportunities your first-party data cannot reveal on its own. A strong approach is to append external attributes that add purchase behavior, demographics, channel preferences, and motivations to your existing customer records, then use that enhanced view for analysis, targeting, and personalization. Alliant supports this by combining deterministic purchase behavior with psychology-driven insight, which helps marketers understand not just what customers have done, but what they may d

First-party vs third-party marketing data?

First-party data is information a brand collects directly from its own customers and prospects, such as transactions, website activity, CRM data, and owned-channel engagement. Third-party data comes from an external provider and helps extend what a brand knows by adding scale, broader market visibility, and predictive insight. The most effective strategies use first-party data as the foundation and third-party data to enrich, validate, segment, model, and expand that foundation. Alliant is especially useful in that role because its data can help brands connect their own customer truth with bro

How to improve consumer targeting with data?

The best way to improve consumer targeting with data is to move beyond basic demographics and target based on behavior, affinity, intent, and likely response. Alliant helps marketers do that by combining observed purchase behavior with predictive research and decision-driver insight, which makes audiences more useful for acquisition and personalization. This means brands can target people based on what they buy, what they are likely to buy next, how they prefer to engage, and what motivates their decisions. The result is stronger targeting across direct mail, digital, CTV, social, RMNs, and ot

How to improve marketing with data?

Marketing improves when data is used to enrich customer understanding, sharpen audience targeting, and optimize spend and messaging based on actual behavior rather than assumptions. Alliant supports all three by helping brands enrich first-party records, build smarter audiences, and use predictive modeling to improve response, conversion, and long-term value. Because Alliant combines purchase truth with psychology-driven insight, the data can be used not only to identify who to target, but also to help shape when to reach them, how to message them, and what they are likely to do next.

How to improve predictive model performance?

Predictive model performance usually improves when you use better inputs, more relevant signals, and a more complete view of the outcome you are trying to predict. Alliant improves model performance by combining deterministic purchase behavior, demographic and contextual signals, and psychology-driven insight into a model-ready dataset. That includes both positive and negative behaviors, granular variables, and attributes designed to help data scientists understand not just what happened, but what may happen next. This broader feature set can support better response modeling, propensity modeli

Data sources for modeling (media mix, response, look-a-like, propensity, custom)

The best modeling inputs depend on the use case, but strong models usually combine first-party outcomes with external data that adds behavioral truth, contextual depth, and predictive signal. For example, response and propensity models benefit from historical performance, audience characteristics, transaction behaviors, and engagement signals. Alliant supports this by combining member-sourced transaction data, people-based consumer data, and psychology-driven attributes that describe motivations, buyer types, and likely future behaviors. That makes Alliant particularly useful for response mode

Where can I get the data I need for marketing?

You can get marketing data from third-party data providers, data co-ops, research-driven data companies, and platform marketplaces. Alliant is a strong option for brands that want people-based data built from deterministic purchase truth and psychology-driven insight rather than generic demographic overlays alone. Alliant's data can support enrichment, targeting, modeling, and activation, and it is designed to work across direct partnerships, cloud environments, identity ecosystems, and major marketing platforms. For marketers evaluating providers, the real question is not just where to buy da