TL;DR
Your next best audience is already in your data. The problem is finding it fast enough to do something about it. Launchpad closes the gap between having the data and acting on it.
- Launchpad solves three audience problems: cold-start discovery when you do not know where to start, segment building when you have a campaign objective, and behavioral analysis when your targeting is based on intuition rather than data.
- A print-on-demand ecommerce brand discovered 2,527 historical buyers their active campaign was completely missing, surfaced during a single troubleshooting session.
- A specialty retailer got Day 7 and Day 30 retention rates broken out by region across multiple states in under two minutes.
- Giving Launchpad a scoring framework rather than a raw question produces a prioritized action list, not a data dump.
- This post includes four ready-to-use prompts drawn from real Blueshift customer sessions.
Every campaign starts with the same question: who should I be talking to? Most of the time, the answer is buried somewhere in your platform, in behavioral event data, historical purchase patterns, engagement signals, or some combination of all three. The problem is not that the data does not exist. It is that pulling it together, building segments, and turning the analysis into something actionable takes longer than the window you have to act.
By the time the audience is ready, the moment sometimes is not.
3 Audience Problems Launchpad Solves
Whether you are starting from scratch or digging into an existing program, Launchpad meets you where the problem actually is.
1. You Do Not Know Which Audience Opportunities Are Worth Pursuing First
You do not have a specific segment in mind. You just want to know where the opportunities are. Give Launchpad a scoring framework: rank by ROI potential, audience size, and engagement confidence. It analyzes your last quarter of campaign data, customer profile signals, and behavioral events to surface what you should be going after and why. You get a prioritized list of opportunities, not a data dump.
Look at last quarter's engagement data and identify micro-segments that can be targeted for improved ROI. Rank them based on a score that is a combination of potential ROI, size of audience and confidence of engagement (scale 1 to 5). Present your analysis in this chat before taking any action.
2. You Have a Campaign Objective but Are Not Sure Which Customers Actually Fit It
You have a specific goal, whether that is a product launch, a reactivation push, or a loyalty play, but translating that into a segment takes longer than it should. Describe what you are trying to accomplish. Launchpad recommends the criteria, builds the segment, and tells you exactly how many people qualify.
Use the prompt that matches your situation:
I want to target my dormant buyers (people who used to purchase but have gone quiet). What will be the right criteria to identify these users?
Who will be the right customers to target for our new [product line or category]? Look at our existing customer data (purchase history, browsing behavior, and profile attributes) and recommend the audience most likely to respond.
3. Your Targeting Decisions Are Based on Intuition, Not on How Your Audience Is Actually Behaving
This is the often-overlooked use case: not finding a new audience, but understanding the one you already have. Engagement patterns, retention curves, frequency distributions, funnel drop-off points. The kind of analysis that should be informing your targeting strategy but rarely does, because pulling it together manually takes too long. With Launchpad, you ask the question and get the answer in minutes, and then act on it in the same session.
I want to understand how my [segment or audience description] is actually behaving, not just how I think they are. Look at their engagement over the last [90 days / 6 months]: frequency distribution, retention at Day 7, Day 30, and Day 60, and where in the funnel customers are dropping off. Tell me what the data says about who is engaged, who is at risk, and where the biggest gaps are between my current targeting assumptions and actual behavior. Present your findings in this chat before taking any action.
All three of these used to require hours of manual work or a trip to your data team. Now they are a prompt away.
Give It a Framework, Not Just a Question
The difference between a useful output and a great one usually comes down to how you structure the ask. Telling Launchpad to show you engagement data gets you numbers. Asking it to rank micro-segment opportunities by ROI potential, audience size, and engagement confidence on a scale of 1 to 5 gets you a prioritized action list.
Launchpad can do the synthesis. What you bring is the lens. The more specific your scoring criteria or ranking logic, the sharper the output. Think of it less as running a query and more as briefing an analyst who happens to have access to your entire database.
What Customers Have Built
A print-on-demand ecommerce brand opened a chat to troubleshoot why one of their campaigns was sending to so few people. Launchpad diagnosed the issue and, in the same session, surfaced that 2,527 historical buyers existed in their database that the active campaign was completely missing. What started as debugging ended as audience discovery.
A specialty retailer with locations across multiple states needed Day 7 and Day 30 retention rates broken out by region. Launchpad built the segments across multiple time windows and returned the full breakdown in under two minutes.
A healthcare organization pasted a list of 65 email addresses and asked Launchpad to calculate average engagement. Launchpad matched the profiles, built frequency segments, and returned an opens and clicks distribution table. That analysis would have taken 60 to 90 minutes manually.
Your next best audience is not waiting to be invented. It is already in your data, waiting to be found. Launchpad makes the finding fast enough that you can actually do something about it.
Find Your Next Best Audience in Minutes
Watch how Blueshift Launchpad analyzes your customer data, surfaces prioritized segment opportunities, and builds the audience in the same session.
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