Define the market wedge
Turn customer research into a focused ideal customer profile, urgent problem and credible reason to choose you. siift keeps the segment narrow enough to learn from.
go-to-market planning
Build a focused go-to-market plan around a real customer, a sharp position & measurable channel experiments—then keep learning as traction data comes in.
evidence-based ICP
testable channel plans
strategy linked to traction
a plan is only useful when it learns
Most go-to-market plans collapse the moment the first channel underperforms or the first customer describes the problem differently. The issue is not a lack of tactics. It is the missing system between your customer evidence, positioning, channel choices, weekly actions and results. siift keeps those parts connected so the plan changes for a reason—not from panic or novelty.
~The goal is not to be everywhere. It is to find a repeatable path from the right customer to measurable demand.
how it works
Start with the market truth you have, make the next move measurable and let the result improve the plan.
Turn customer research into a focused ideal customer profile, urgent problem and credible reason to choose you. siift keeps the segment narrow enough to learn from.
Choose channels based on how your customer already discovers, evaluates and buys—not a generic list of growth tactics. Set the message, action, cost and success signal for each test.
Bring conversion, revenue and customer signals back into the business context. Keep what works, challenge what does not & make the next plan from evidence.
go-to-market inside the New Business OS
siift connects the strategic choices behind your launch to the actions and outcomes that reveal whether those choices were right.
Synthesize interviews, sales conversations and market research into a usable ICP that improves as real buying signals arrive.
Tie claims, pains and differentiators to customer language instead of generating copy from an imaginary persona.
Compare reach, intent, cost, speed and fit to choose the few acquisition paths worth testing first.
Turn strategy into an ordered plan with owners, timing, dependencies and a clear definition of useful progress.
Connect customer, product and revenue signals so the advice behind the next campaign reflects what is actually happening.
Preserve what was tested, why it was tested and what changed, preventing the team from repeating old debates and failed experiments.
why siift
siift treats go-to-market as a connected learning system, not a one-time marketing deliverable.
−A broad persona built from assumptions
+A focused ICP grounded in observed problems and buying signals
−A list of places the business could promote itself
+Ranked experiments with a reason, budget and success measure
−A static plan separated from weekly work
+Actions tied to the strategic assumption they are testing
−Metrics reported after the campaign
+Traction signals that continuously reshape the next move
when to use it
Choose a narrow segment, sharpen the offer and sequence the smallest channel tests that can reveal real intent.
Compare the new customer, problem and buying process against the evidence behind your current go-to-market motion.
Trace weak results back to the assumptions behind the campaign before adding more spend or more activity.
frequently asked
Clear answers for founders deciding how—and where—to use AI.
A useful go-to-market plan defines the target customer, urgent problem, positioning, offer, route to the customer, sales motion, launch sequence and the metrics that will confirm or challenge each major choice.
siift uses the validated context in your business canvas to help define the market wedge, position the offer, compare channels and organize measurable experiments. Results feed back into the same context so later advice reflects what the market revealed.
Yes. siift can help you build the initial ICP, positioning, offer and channel-test sequence before launch. It can also identify which parts still depend on assumptions and should be validated first.
It can rank likely channels using your customer, buying process, budget and existing evidence, but no system can know a winning channel in advance. The plan is designed to test the strongest candidates efficiently and learn from the result.
Yes. Customer feedback, campaign results, product usage and revenue signals can update the truth hierarchy behind your strategy. That keeps the next recommendation aligned with current evidence rather than the original launch assumptions.
Focus the customer, sharpen the position & turn your go-to-market strategy into action.