Name the decision
Define what the team wants to learn before changing the copy.
Message experiments
Replace copy debates with a learning habit.
Create campaign variants, control allocation, and compare consistent delivery and engagement signals without separating the experiment from the send.
Illustrative experimentTwo variants
Overview
Audience
Messages
Delivery
Settings
Live workspace
Season message test
Audience
24kSplit
50 / 50Primary signal
OpenCurrent flow
Variant ALead with the reward
Variant BLead with the deadline
Decision ruleReview after completion
Example data for product illustration. Not customer performance.
A test is useful only when the decision is clear.
PushHub keeps the hypothesis, variants, traffic split, campaign, and outcome close enough for teams to act on what they learn.
How it works
A lightweight discipline for better player messages.
Create variants
Change one meaningful message dimension while keeping the audience comparable.
Allocate traffic
Choose a deliberate audience split and launch through the campaign workflow.
Interpret carefully
Compare consistent signals and retain the result with campaign history.
Capability depth without the fine-print surprise.
Current and planned capabilities are labeled directly, so teams can evaluate PushHub without confusing vision for availability.
Campaign variants
Create alternative titles and bodies alongside the base campaign message.
Traffic allocation
Assign explicit percentages across variants before launch.
Variant reporting
Review variant delivery and engagement results in campaign context.
Automatic winner selection
Planned optimization will require explicit guardrails, a goal, and a minimum evidence threshold.
In the game
Questions worth testing.
Value framing
Learn whether players respond better to the reward or the experience it unlocks.
Urgency
Compare a neutral reminder with a deadline-led version.
Specificity
Test a generic announcement against progression-aware context.
Experimentation should protect interpretation.
PushHub presents delivery and response signals without claiming statistical certainty that the current product does not calculate.
Comparable allocation
Traffic splits are explicit and stored with variants.
One campaign context
Audience and delivery conditions remain attached to the test.
No false certainty
Automatic statistical significance and winner selection remain Roadmap.
Questions teams ask before they commit.
The current campaign workflow supports alternative title and body content with explicit allocation.
Build the next player return.
Start with one app, one meaningful moment, and one audience worth reaching.