A good rep can lose the better part of half an hour researching a single company before they even know whether it is worth a conversation, and a CRM that has been running for a few years is usually full of records nobody has opened in months, contacts who moved on long ago, and accounts that were never really a fit, so the people you pay to close end up spending their best hours sorting the list instead of working it.
AlignIQx takes that whole layer of researching, qualifying, ranking and housekeeping and turns it into a system that runs quietly in the background, scoring every account against the ideal customer profile your own team defined, so that your reps open the CRM to a ranked, current and fully researched view and spend their time only on the prospects that are genuinely worth it.
Running inside industrial and B2B sales teams for three years, on more than two million records.
AlignIQx has been running inside real sales teams for three years, across industrial and B2B companies from the low tens of millions up to nearly two hundred million dollars in annual revenue, and in that time the system has researched, scored and kept current more than two million of their records, which is the reason everything described on this page is something already working in practice rather than something we are hoping will work.
researched, scored and kept current
of research per company handed back to your reps as selling time
Bad emails, wrong-fit accounts and people who have moved on most likely plague your CRM.
A constant feed of new prospects, researched, qualified and ranked before they reach a rep
Define is where the rules get built, because a system that scores and prioritises accounts is worthless until there is a clear and agreed definition of what a good customer actually looks like, how one account is ranked against another, and who the real decision makers are, all of which is drawn out of the people on your team who sit in front of customers every day and then written to records so that AI and your team are working from exactly the same picture.
Align is where that definition is applied to everything already in your CRM, so that every account is researched, scored and ranked, every contact is matched to the right buyer persona, the gaps get filled and the records that have gone stale get flagged, and from then on anything new that arrives is held to the same standard before it is ever allowed to clutter the database.
Grow is where the pipeline is widened beyond the accounts you already hold, with new and validated targets surfaced and researched, the events that create a reason to reach out caught as they happen, and genuinely personal outreach landing with the right people, so that the top of the funnel keeps filling with accounts that arrive already qualified and with a reason for the conversation attached.
Your CRM should be the thing that sets your team's priorities, telling them which accounts deserve attention first, which records have gaps worth filling, and which ones are quietly absorbing effort that will never convert, and it can only do that once the ideal customer profile is wired into it as a live scoring framework rather than sitting in a slide deck that nobody opens.
Without that scoring in place there is no reference point for any of it, so outreach runs against a flat list instead of a real definition, and the judgement about where to spend time falls back onto each rep's instinct, which is exactly the manual and inconsistent guesswork the whole system is meant to take away.
Once the profile is activated inside the CRM, the prioritisation is done for the team rather than by them, every account carries a score and a tier from the day it lands, and the database stops being a place where people log what they have already done and becomes something that tells them what to do next.
Once every account has been scored and tiered against the profile your own team defined, the prioritisation becomes obvious, so that your strongest reps are pointed at the gold accounts where their time genuinely converts, while the accounts that score as coal are quietly held back from outreach rather than being allowed to soak up effort that was never going to pay off.
How you choose to work each tier is entirely up to you, because all the system does is sort every account into the right tier and tag it, which leaves the question of how hard to chase each one firmly in your hands.
The work is delivered as eight modules that all share a single definition of a good customer, beginning with the one-off foundation that establishes the rules, moving through the modules that bring your existing database into line and keep it there, and finishing with the modules that widen the pipeline, and although they are designed to fit together as one system, you do not have to take all of them at once.
Everything starts here, because none of the modules that follow have anything to score against until the definition exists.
The reasons one customer turns out to be gold while another quietly wastes everyone's time live in the people who sit in front of customers every day rather than in any piece of software, which is why the profile is built out of their first-hand knowledge and then checked against what your won and lost deals actually show, instead of being guessed at from the top of the organisation.

Once the profile and the scoring exist, your whole database is brought up to that standard and then held there, so that the state of your CRM stops being something that slowly decays between the occasional clean-up and becomes something you can simply trust on any given morning.
Your team opens the CRM to a ranked and current view of their accounts, where the score and the tier are already sitting there to tell them where to start and the key decision makers have already been identified, so that the long stretches that used to disappear into researching a company before a single conversation are simply handed back as selling time.
Everything needed to place an account against your profile and give it a score is researched and written back, alongside the standard company detail your team relies on, such as revenue, staff numbers and location, and because the fields are matched to the way your sales process actually works, the rest of what your salespeople need to carry a deal forward sits there too, right where they are already working.
With the rules in place, your existing database is brought into line and then held there as new records arrive.
A single thorough pass across your entire existing database researches, qualifies, scores and ranks every account, matches every contact to the right persona, fills the gaps and flags the records that have gone stale or whose people have moved on, and leaves you with an honest picture of how many genuinely qualified and marketable contacts you actually have, which is almost always a smaller and more useful number than anyone expected.
From the refresh onward, every new account that enters your CRM comes back, shortly after it lands, fully qualified and ranked and with its key decision makers identified and attached, so that the database stays accurate and current without anyone on your team having to stop what they are doing and run the research by hand.
A gate sits in front of your CRM and checks the trade-show lists, the purchased data and the inherited spreadsheets against your profiles before any of it is allowed in, so that the obvious non-fits are stripped out at the door and never get the chance to clutter the database in the first place.

With your database clean and ranked, the system widens the pipeline beyond the accounts you already hold, surfacing new targets that are researched and scored before they ever reach a rep.
You describe the kind of companies you want to reach and a validated, ready-to-use list of matching target accounts is researched and returned, flowing straight into the same qualifying and enrichment work, so that the new names arrive already scored rather than as a raw list that somebody then has to sort through.
Quiet and continuous attention on your high-volume mailboxes keeps your contact data honest as people change roles and addresses go cold, capturing the moves and the replacements and feeding the useful details back into the CRM, so that the picture does not drift out of date in the gaps between refreshes.
An always-on watch for the events that create a genuine reason to reach out, such as a new decision maker arriving, a site expansion or a funding round, surfaces the matching accounts the moment something changes, with the reason for the conversation already attached so that the team is never starting from a cold open.
Genuinely personal and lower-volume outreach is sent from your reps' own mailboxes with the follow-ups handled automatically, and every reply is read, sorted and recorded back against the account, so that the outreach supports your salespeople and the relationships they are building rather than trying to replace them with mass email.
This section would look far better with your own data in it.
These are the same accounts you already have, except that each one now carries a complete profile, an ICP tier and every contact matched to the right buyer persona, which is the difference between a list you store and a database your team actually works from.
Getting automation and AI to deliver consistent results that genuinely drive value for a business is not easily achieved. Our system has been built and refined across three years of real engagements with industrial and B2B companies, most of them turning over at least sixty million dollars a year, and we have taken the essence of the complex systems we still run for those clients and simplified it into something that delivers the same results while being available to many more customers.
Every week a branded report lands that shows you what is improving in your CRM and what is starting to drift, covering marketability, the spread of accounts across the tiers, how well your personas are covered, the quality of the underlying fields and how campaign-ready the database is, so that the movement from one week to the next tells you plainly whether the system is doing its job.

