
Budget burned on accounts that won't buy
Sequences, ad spend and SDR hours go to companies with no need, no budget and no timeline.
ICP, intent data, and buying signals that tell you who to pursue and why, before your team spends a minute on the wrong account.
Without buyer intelligence, teams spend equally on accounts that will never buy and accounts already in-market. The message is rarely the problem. The list is.
24 accounts on the list
The same sequences, SDR hours and budget, spread evenly across the whole list, whether an account is ready to buy or years away.
Scored on fit + buying signals
Fit and intent decide where time goes. In-market accounts get the depth; the rest are nurtured or set aside until they start moving.

Sequences, ad spend and SDR hours go to companies with no need, no budget and no timeline.

By the time a generic sequence reaches them, the shortlist has already been written without you.

Low reply rates push the team back to gut feel and manual research, and pipeline gets less predictable.
Salesable builds a living picture of your market: who fits, who's in-market now, and why. We combine data platforms with human verification so the intelligence is both broad and accurate.
Firmographics, technographics and the traits your highest-value customers share.
Research surges, hiring, funding, leadership changes and tech migrations.
The reason to reach out now, so the first conversation starts relevant.
We don't report on how big the list is. We report on whether the list worked, from fit all the way through to meetings.
Lift versus untargeted outbound, tracked from first touch to booked meeting.
Share of new pipeline opportunities that match your ICP tiers.
Contacts confirmed deliverable, current and in the right role.
Share of outreach aimed at accounts showing active intent or triggers.
Each capability answers one question about your market. Together they produce a target list your team can trust.
An evidence-based definition of who actually buys.
Built from your closed-won data, win and loss patterns and customer conversations, not a persona workshop.
Triggers that mean “now,” not “someday.”
Leadership hires, funding rounds, expansion, tech migrations and hiring spikes, tracked account by account.
Human-verified contacts, not scraped guesses.
The real decision makers and influencers in each account, with roles and contact details confirmed.
The landscape you're selling into.
Segment sizing, account density and market trends that show where demand is actually concentrated.
Accounts showing real purchase intent.
Topic-level research activity across the web, filtered down to the accounts that match your ICP.
Where you win and where you don't.
Competitor positioning, pricing signals and displacement opportunities inside your target accounts.
AI models intent and enriches at scale. Humans validate fit, confirm contacts, and decide which signals matter for your motion.
Processes thousands of accounts and signals continuously, far beyond what a research team could cover by hand.
Analysts who know your market make the calls a model can't.
Five working assets, built to be used every day by sales and marketing, not filed away.
Who buys, who doesn't, and the evidence behind each tier, agreed with your sales leadership.
Every account in your market ranked by fit and intent, so priority is a number your whole team agrees on, not an opinion.
Decision makers and influencers with roles, emails and direct dials confirmed by a person.
Which accounts are heating up, which triggers fired and what changed since last week.
Where you win, where you lose, and the accounts that are ripe for displacement.
AI for research and personalisation at scale, with a named person approving every message that reaches a prospect.
Start with a revenue growth plan. We’ll show you where the engine is leaking and what to fix first.
Still have a question?
Yes, provided the controls are designed in from the start rather than added after a compliance objection. Every message and sequence is approved before sending, claims are disciplined, records are auditable, data handling is defined, opt-outs are suppressed everywhere, and a named person is accountable for every message. Outbound fails in regulated markets when it runs as unattended automation, because nobody can answer who authorised a specific communication.
They fall into four groups. Data protection governs how contact data is sourced, stored, processed and deleted, with India’s DPDP framework and GDPR both potentially relevant. Communication rules govern consent and opt-outs, and vary by jurisdiction and channel. Institutional policy is often stricter than the law, and many banks restrict how vendors may approach their staff. Record-keeping expectations mean what was communicated should be reconstructable on request.
The extra time is concentrated in vendor risk assessment, security review and procurement rather than in the commercial decision. The business sponsor is frequently convinced months before the contract is signed, which is why those stages need to be planned from the start.
The business sponsor who owns the problem, the technical evaluator who will assess the solution and, earlier than most vendors think, the risk, security or compliance stakeholder who can stop it. Programmes that sequence the blocker last are the ones that stall at review.
Only where written permission exists. Unapproved name-dropping is a compliance problem for the client being named as well as a credibility problem for the sender, and one of the fastest ways to end a conversation with a risk-aware buyer.
Salesable works with B2B companies selling across India, the GCC, APAC and the United States. In financial services that includes vendors selling into banks, NBFCs, insurers, lenders, credit-risk providers and wealth managers.