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Measurement & Optimization

Marketing measurement grounded in customer context

Campaign reports show results. Customer context helps your team interpret them. Amperity brings supported performance and outcome data alongside customer data so you can compare results, investigate changes, and decide what to test next.

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Measurement that changes what you do next

Move beyond platform metrics to outcomes that matter

A click rate doesn't tell you who clicked, what they bought, or whether they stayed. Amperity brings campaign performance together with customer, transaction, audience, and outcome data so your team can see what results actually mean for the business.

Spend time acting on insights, not wrangling data

Switching between platforms, reconciling conflicting reports, and waiting on new analysis before making a call is the norm. It doesn't have to be. Amperity brings the relevant data together so your team spends less time assembling the answer and more time acting on it.

Know whether marketing influenced the result

Activity and impact are not the same thing. Goals, test and control groups, and supported outcome data give your team the evidence to understand what marketing actually drove, not just what ran at the same time customers converted.

Make the next decision with better evidence

Measurement isn't useful if it just confirms what already happened. Amperity gives teams the context to decide what to investigate, what to test, what to continue, and what to change across audiences, journeys, and campaigns, so each result makes the next decision a little sharper.

Connect results to your next decision

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Analyze paid media performance with customer context

Bring Google and Meta campaign metrics into Amperity and analyze them alongside available customer data. Compare ROAS, CPA, and other supported metrics to decide which campaigns need closer investigation. Use the findings to inform your next audience or paid media decision.

Paid Media

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Measure journey goals and compare outcomes

A completed journey does not by itself show what influenced a purchase. Configure goals and test/control splits to compare goal achievement and incremental lift. Journey measurement uses batch segments, so use the supported goal and split configuration to evaluate results before refining your next journey.

Journey Orchestration

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Turn performance questions into clearer decisions

Use the AI Assistant to explore available paid media performance data in plain language. Compare campaigns, investigate changes, and review the results before deciding what to test or change. Access depends on tenant enablement and user permissions.

A diagram showing AmpAI learning from previous campaigns and using that knowledge to make new recommendations and improve new campaigns.

Close the loop between measurement and your next marketing decision.

Bring supported activation, conversion, and outcome data into Amperity and analyze it alongside customer context. Use those insights to inform audience strategy, journey design, conversion signals, and downstream activation decisions. Marketers stay in control of what to investigate, test, continue, or change.

One continuous loop from insight to better activation

A result is useful when it informs a decision. Connect supported performance and outcome data with customer context so your team can review what changed and decide how to refine audiences, journeys, or campaigns.

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Unify

Bring together customer profiles, transactions, loyalty, engagement, media, and conversion data as trusted customer context.

Activate

Build audiences, journeys, campaigns, suppressions, and treatments across paid and owned channels.

Measure

Connect marketing activity to supported performance data and outcomes such as revenue, conversion, loyalty, and customer value.

Learn

Compare results, investigate what changed, and understand what the available performance data means in customer and business context.

Improve

Use performance insights to refine audiences, journeys, conversion signals, campaign decisions, and future actions.

Put the learning loop to work

Refine an audience

Compare audience performance with customer context to reconsider who should be included, excluded, suppressed, or treated differently in the next activation.

Improve a journey

Use observed engagement and outcomes to refine sequencing, treatments, subaudiences, or the next activation.

Strengthen measurement

Identify missing conversion signals, inconsistent definitions, stale data, or instrumentation gaps that make performance harder to interpret.

Guide the next campaign decision

Use available evidence to decide what deserves investigation, what to test, and what to continue or change in the relevant workflow or platform.

What better measurement delivers for marketing teams

Two female models wearing vest-skirt sets and sunglasses against a desert landscape.

New Look saved £1M in media spend after resolving 3.4 million fragmented profiles.

Fragmented profiles made it impossible to measure which customers were responding to campaigns or where media spend worked. Resolving 3.4 million profiles delivered £1M in media savings, a 50% ROAS lift, and 24% more high-value customers identified.

Read the story
Servco logo overlaid on top top of an image of a car

Servco delivered marketing segments 140x faster after unifying customer data across a fragmented network.

Customer data siloed across manufacturers, dealers, and regional networks meant audience building was slow and measurement was inconsistent. Unifying that data meant marketing segments went live 140x faster and lead conversion improved 62%.

Read the story

Activate customer data everywhere

The next better decision starts here

Bring one campaign or journey question your team needs to answer. See how supported performance data and customer context help you compare results, review the evidence, and plan your next step.

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Frequently asked questions