How We Build Cold Calling Data That Books Meetings

The data process is the single most important part of our platform, because getting the people who will book meetings onto the phone is not easy in 2026. A lot of steps have to be applied to pull data out of the bottom of a funnel that actually books meetings. After several years of running an agency and chasing the best results for clients, we have arrived at a funnel that does exactly that.

This is the whole thing, in order, from the day you brief us to the day a rep picks up the phone with a researched reason to call. It runs on both the outbound platform and the managed service, and end to end it takes 5 to 7 business days.

How long does it take to build a cold calling list that is ready to dial?

Five to seven business days, end to end. That covers the brief, segmentation, account scraping, AI and website-signal qualification, the persona split, the intent layer, mobile enrichment, the reachability sequence, and a researched reason for every call. What comes out is a list of people who exist, fit what you sell, have a working mobile, are proven to pick up, and have a reason to be called.

Step 1: The brief

The process starts with the brief built into our onboarding, on both the platform and the managed service. This is how we capture exactly what your business does and sells. Everything downstream is only as good as this input, so we spend real time on it.

Step 2: Segments

From the brief, we build segments. A segment is a persona ranked by its likelihood of booking a meeting, based on our anonymised historical data and on what actually exists in your total addressable market. The first question is always whether the data exists at all. Splitting the market into segments defines who we are targeting and why, against what you sell.

Step 3: Scraping the market for accounts

Once we know who we are targeting, we scrape the internet for the companies that fit. You might ask for the top 100 accountancy SaaS companies, or the electrical manufacturers in the north of England. Whatever the request, we go and find the companies listed online that do those things.

Step 4: AI qualification

With that list of companies in hand, we qualify every one of them with AI against what you can actually sell to. It is a double-check that these are genuinely companies you can sell to, rather than companies that happened to match a search string.

Step 5: Website-signal qualification

If anything on a company's website matters to you, this is where we qualify against it. Say you only sell to businesses running a shopping cart, or holding a specific accreditation listed on their site. We take the scraped website information and filter the list on those signals too.

Step 6: The account list

At this point you are left with a clean set of companies we know you can sell to. That is your account list, and it is the foundation everything after it is built on.

Step 7: Splitting accounts into personas

We take the account list and find the people, the personas you sell to at those accounts, split into your segments. Getting this split right matters, because we do not talk to a product team the way we talk to a finance or operations team. The split is what makes sure that when a record hits a dialling list, the message is relevant to the individual receiving it.

Step 8: The intent layer

On top of the list, we run intent. Intent works at two levels, and both feed the reason a rep eventually gives for calling.

At the account level, the signal shapes the list build itself. We might find every company hiring for a specific role, or that has recently hired a specific job title. We are always extending the signal set, and the full list is made clear during onboarding.

At the persona level, it is a signal on the person. They have posted something, been mentioned in the news, announced they are hiring, or said something about what their company is doing. Anything relevant to what you sell right now.

One caveat I flag with clients upfront: we have no control over volume. You might want a signal that only a couple of companies a month are showing. We will bake it in, but it may not move your campaign as much as we would like, purely because of a volume constraint we cannot control.

Step 9: Mobile enrichment

With the accounts qualified and the people found, we go and find their mobile numbers, and not everyone will have one. Mobile enrichment rates in the UK run at about 60% to 75%. In the US they are lower, at about 25% to 40%, depending on who you are targeting. These are Sentrama platform figures as of July 2026.

Raw data is not callable data, and the gap between the two is where most of the work sits. To reach 100 contacts a rep should actually dial, we run the raw pull through two filters: mobile enrichment first, then qualification and reachability. Here is how the maths falls out on a typical campaign.

Those figures are an illustrative worked example, with the third-stage rate set so the funnel lands on exactly 100. The mobile enrichment rates and the raw pull are real Sentrama ranges. The "qualified and pick up" stage is deliberately tighter than the raw pickup rate in Step 10 (about 20% in the UK and 7% in the US), because it only counts enriched mobiles that are both a qualified fit and answer the phone.

The shape holds on every campaign, whatever the exact rates on the day. US programmes need a much larger top of funnel to reach the same callable volume, because fewer contacts enrich to a mobile and fewer of those pick up. It is a total addressable market consideration we make before a campaign starts, not a surprise we discover halfway through.

Step 10: The reachability sequence

Once we have mobile numbers, contacts go into our reachability sequence, where we work out whether they actually pick up the phone. This takes up to five days, because we are establishing the likelihood of someone answering before a rep spends real time on them.

The pickup rates are why this step exists. In the UK, about 20% of people on a given list answer the phone on average. In the US that drops to around 7% right now. Calling blind through a raw list, with no reachability layer, is how teams end up with three human conversations a day.

Step 11: Reason generation, a reason for every call

Once we know someone picks up, we build the reason and the call framework for that individual. This is where the intent layer pays off. Every person who comes out of the bottom of the pipeline has a reason for the call, built from the account intent signal and the persona intent signal together.

Our SDRs get bullet points on every record: value statements, the pain points that person is likely feeling, and the pitch for that individual based on what they do and what their company sells. Every call is researched and reads as personal to the person receiving it, which is what maximises the chance of a meeting.

The process at a glance

• 1. Brief: capture exactly what you do and sell.
• 2. Segments: personas ranked by likelihood of booking, checked against your addressable market.
• 3. Scrape accounts: find the companies that fit.
• 4. AI qualification: confirm you can actually sell to each one.
• 5. Website-signal qualification: filter on website signals that matter to you.
• 6. Account list: a clean set of sellable companies.
• 7. Persona split: find the right people and split them by segment.
• 8. Intent layer: account-level and persona-level signals.
• 9. Mobile enrichment: find working mobile numbers.
• 10. Reachability sequence: test who actually picks up.
• 11. Reason generation: a researched reason for every call.

Five to seven business days, and what comes out of the bottom is a list of people who exist, fit what you sell, have a working mobile, are proven to pick up, and have a researched reason to be called. That is the data process, start to finish.