See beyond delivery.
Measure campaign outcomes in context.
Pika Analytics & Reporting helps evaluate campaign, channel, audience, delivery and engagement results within the same measurement context, together with sales or revenue outcomes that can be associated under attribution rules.
The objective is not only to see how many messages were sent, but to evaluate what happened across campaign, channel and audience context through measurable outcomes.
From communication to purchase
Illustrative data. Attribution does not establish that a campaign alone caused a sale.
What is Analytics & Reporting?
Analytics & Reporting is Pika's measurement and reporting layer for evaluating delivery, engagement, channel, audience and attributable commercial outcomes produced after campaign and communication execution.
Campaign Manager and Journey Manager manage action.
Email, SMS and WhatsApp produce delivery outcomes.
Analytics & Reporting brings those outcomes together within measurement context.
Analytics & Reporting answers one central question:
This layer does not create a new commercial opportunity or launch a campaign.
It helps evaluate outcomes that have already occurred.
Send volume alone is not campaign performance.
Knowing how many communications were sent is an operational starting point.
But send volume alone does not explain how the campaign performed.
A more meaningful performance context emerges when delivery outcomes, engagement, channel structure, audience and commercial results that can be associated with the campaign are evaluated together.
The same total send volume can produce different outcome contexts across different channels or audiences.
Analytics & Reporting turns delivery records into decision context.
Do not reduce the outcome to a single metric.
Analytics & Reporting brings different measurement dimensions into the same evaluation framework.
Campaign
Evaluate delivery and engagement outcomes of a defined campaign within campaign context.
Channel
Review appropriate outcomes across confirmed communication channels such as Email, SMS and WhatsApp within channel context.
Audience / Segment
Evaluate campaign outcomes not only at total level, but also together with the audience or segment context used.
Delivery
Use available delivery telemetry as part of campaign evaluation.
Engagement
Evaluate relevant engagement signals supported by the channel together with campaign outcomes.
Attribution
Review sales or revenue outcomes that can be associated with the campaign under a defined attribution approach.
Measurement dimensions evaluated together.
Not every metric means the same thing on every channel. The role of Analytics & Reporting is to evaluate measurement together with channel and campaign context.
See the outcome of communication delivery.
Campaign evaluation does not end when content is prepared or placed into the delivery process.
Available telemetry describing the result of delivery is also part of measurement.
Available delivery data can provide operational context about successful, failed or other relevant channel outcomes.
That data does not by itself explain content impact or commercial impact. But it is one of the foundational measurement layers for understanding what happened during communication execution.
Read delivery outcomes first.
Then evaluate them together with engagement and commercial outcomes.
Was it delivered? What happened next?
Delivery describes the technical outcome of communication; signals about how the customer interacted with that communication form a separate evaluation layer.
On channels such as Email, relevant engagement data such as opens and clicks can help interpret campaign outcomes.
Interaction and status signals available on other channels can differ according to channel structure.
The objective is not to turn different channel telemetry into one artificial universal KPI, but to evaluate each result in its own communication context.
Compare channels. Do not assume different signals mean the same thing.
Email, SMS and WhatsApp do not share identical communication or telemetry structures.
Analytics & Reporting can help compare channel outcomes, but the comparison must respect what the underlying metrics actually mean.
For example, delivery outcomes may provide a shared operational perspective across channels, while engagement signals can differ by channel structure.
Instead of producing a universal “best channel,” compare observed results within campaign context.
See not only the total outcome, but the audience context in which it occurred.
The total outcome of a campaign does not mean every customer group behaved the same way.
Analytics & Reporting can help evaluate campaign outcomes together with the audience or segment context used.
This comparison can make the observed campaign result for a particular segment visible.
Audience Manager defines the audience.
Analytics & Reporting evaluates the outcome produced within that audience context.
Evaluate campaign and journey outcomes inside the flow they belong to.
Campaign Manager manages audience, content, channel, timing and controlled-delivery context for a defined campaign. Analytics & Reporting helps evaluate measurable outcomes after campaign execution.
Journey Manager manages multi-step customer flows. Available measurement outcomes within journey context can be evaluated together with the relevant step or communication context.
Analytics & Reporting is not an orchestration engine that changes campaign or journey structure. It is the measurement layer for the outcome.
Associate sales or revenue outcomes. Do not overstate causality.
Commercial outcomes occurring after a campaign can be associated with that campaign under a defined attribution approach.
That association can help make relevant sales or revenue outcomes visible during campaign evaluation.
But attribution and causality are not the same thing.
Associating a sale with a campaign does not prove that the campaign was the sole and definitive cause of that sale.
C11 does not make the second claim.
Analytics & Reporting brings attributable commercial outcomes into measurement context; it does not guarantee definitive causality.
The purpose of reporting is not only to show the past.
The value of measurement does not come only from producing reports. Campaign, channel, audience and attribution outcomes can provide learning input when evaluating future marketing decisions.
That learning does not mean the system automatically optimizes the next campaign.
Users can review historical outcomes and decide which contexts should be reconsidered.
Measurement feeds the decision loop. It does not replace the decision.
Contexts evaluated with Analytics & Reporting
Campaign Outcome
Evaluate delivery and relevant engagement results of a defined campaign within the same campaign context.
Channel Comparison
Compare relevant observed outcomes across Email, SMS and WhatsApp while preserving what each metric means for its channel.
Audience / Segment Outcome
Evaluate campaign outcomes together with the audience or segment context used.
Journey Outcome
Review available journey-measurement context together with relevant flow or communication steps.
Period Comparison
Compare observed outcomes across different periods using available reporting data.
Attribution Evaluation
Evaluate sales or revenue outcomes that can be associated with the campaign under a defined attribution approach.
Analytics Inside the Pika Platform
Put Analytics & Reporting in the right place.
Analytics & Reporting is not Campaign Manager.
Campaign Manager manages campaign and controlled delivery. Analytics & Reporting evaluates measurable outcomes after campaign execution.
Analytics & Reporting is not Journey Manager.
Journey Manager manages multi-step flow. Analytics & Reporting evaluates available journey outcomes within measurement context.
Analytics & Reporting is not Audience Manager.
Audience Manager defines the audience. Analytics & Reporting evaluates outcomes produced within that audience or segment context.
Analytics & Reporting is not an opportunity engine.
Daily Opportunities makes commercial opportunity context visible. Analytics & Reporting evaluates outcomes after actions have been executed.
Analytics & Reporting does not use the same metric for every channel.
Email, SMS and WhatsApp have different communication and telemetry structures. Metrics are interpreted in channel context.
Analytics & Reporting does not guarantee real-time reporting.
The C11 public page makes no commitment about a specific refresh latency, instant updates or millisecond reporting.
Analytics & Reporting does not present attribution as causality.
Sales or revenue outcomes can be associated with a campaign under defined attribution rules; that association does not prove the campaign was the sole cause of the outcome.
Analytics & Reporting does not guarantee outcomes.
Reporting helps evaluate historical and measurable outcomes; it does not guarantee future campaign conversion, revenue or performance.
Frequently Asked Questions
What is Analytics & Reporting?
Which campaign outcomes can Analytics & Reporting measure?
Are the same metrics used for Email, SMS and WhatsApp?
Can Analytics & Reporting show segment performance?
Can Analytics & Reporting measure campaign revenue?
Does Analytics & Reporting operate in real time?
What is the difference between Analytics & Reporting and Campaign Manager?
Does Analytics & Reporting automatically optimize the next campaign?
See delivery.
Evaluate engagement.
Associate commercial outcomes with the right context.
Let's explore how Pika Analytics & Reporting brings campaign, channel, audience, delivery and engagement outcomes together and evaluates sales or revenue outcomes that can be associated under attribution context.