Phone calls still close deals. Email open rates hover around 20%. LinkedIn InMail response rates are worse. But when an SDR gets a prospect on the phone, conversion rates jump by 5-10x compared to any text-based channel.

The problem has never been whether calling works. It is everything around it: the manual dialing, the tab switching, the note-taking while listening, the CRM logging after, the coaching sessions where managers try to reconstruct what happened from an SDR's memory. By the time all that overhead is handled, your rep has made 15 calls instead of 50.

MarketBetter's dialer eliminates that overhead. Your reps call directly from the browser — no phone hardware, no third-party dialer tab, no copy-pasting numbers. And after every conversation, AI analyzes the recording automatically: full transcript, sentiment score, key points, objections raised, and recommended next steps. The call goes from "something that happened" to structured, actionable data in your pipeline.

Every B2B sales team has experienced the same frustration: you know exactly who you want to sell to, but translating that knowledge into a prospect list takes forever.

You open your data tool. You set filters — industry, employee count, revenue range, job title keywords. You run the search. Half the results are wrong. The CFO you wanted is actually a "Chief Fun Officer" at a 3-person startup. The healthcare companies include veterinary clinics. The 50-200 employee filter caught a company that had 200 employees three years ago but now has 12.

Traditional B2B search forces you to describe your ideal customer through rigid filters that were never designed to capture nuance. MarketBetter's integration with Exa changes that entirely. You describe who you want in plain English, and the system finds them.

You found the right person. Right company, right title, right timing. Then you go to reach out and realize you have no email, no phone number, and a LinkedIn connection request that will sit in limbo for two weeks.

Contact enrichment should not be a separate workflow. It should happen where you already work — inside the same platform where you build audiences, run sequences, and track signals. That is exactly how MarketBetter's Lusha integration works.

A recent analysis by Brendan Short at The Signal Club broke down the go-to-market tech stacks of the 63 fastest-growing private B2B companies — Stripe, Anthropic, Databricks, Canva, Rippling, Ramp, Deel, OpenAI, and more — across 60 tools and 21 categories.

The headline that should keep every AI SDR vendor awake at night: zero of these companies use an off-the-shelf AI SDR product. Not 11x. Not Artisan. Not AiSDR. Zero.

The companies with the most sophisticated go-to-market operations on the planet looked at the AI SDR category and said "no thanks." That is not a coincidence. It is a signal.

There is a pattern we see in almost every B2B company that comes to us for help with outbound. They are spending $5K to $15K per month on GTM tools. They have somewhere between 12 and 25 active subscriptions. And their pipeline per dollar spent is worse than it was when they had three tools and a spreadsheet.

The problem is not the tools. The problem is that most companies buy tools for the company they want to be, not the company they are right now.

A B2B sales leader recently told us they were spending $8,000 per month with 11x.ai to email 10,000 contacts. Their reaction: "For just sending emails, this feels like a super expensive value proposition."

They are not wrong. At $8,000/month, 11x.ai's cost works out to $0.80 per contact or roughly $1.60 per email when you factor in the platform's standard 5-touchpoint sequences. For context, that is 50-100x the cost of sending the same email through a traditional email automation platform.

The question is not whether 11x.ai sends emails. It does. The question is whether what it does beyond sending emails justifies that price tag — and whether there are platforms that deliver more for less.

Most B2B teams know they should be scoring their leads. Few actually do it well. According to Gartner, only 25-30% of B2B companies have a functioning lead scoring model — even though the data consistently shows that teams with scoring see 30% higher close rates and significantly shorter sales cycles.

The reason is not that scoring is conceptually hard. It is that most guides on the topic assume you have a data science team, a mature data warehouse, and six months to build a predictive model. The reality for most growing B2B teams: you have a CRM, some intent data, and you need something working by Friday.

This guide gives you exactly that. A practical scoring framework you can build in a spreadsheet, validate against your own pipeline data, and deploy into your daily SDR workflow — all without writing a single line of Python.

The best go-to-market teams have a dirty secret: they never rely on a single data source.

They know that no single provider covers every company, every contact, every industry vertical with equal depth. One provider nails tech company firmographics. Another has stronger coverage in healthcare. A third catches the long-tail companies that everyone else misses.

The problem has always been the workflow. You run a search in one tool, export the CSV, run another search somewhere else, export that CSV, then spend an afternoon in Google Sheets deduplicating, cross-referencing, and trying to merge records that use slightly different company name formats. By the time you have a clean list, your signals are stale and your SDRs have moved on.

MarketBetter just eliminated that entire workflow. You can now build audiences from Fiber, Lusha, and Exa Websets — all from one platform, all in one step.

There is a particular kind of frustration that only SDR teams understand: you know a signal exists, you know it is time-sensitive, and you are staring at a loading spinner.

For teams running high-volume signal-driven outbound on MarketBetter, the Signals page was becoming a bottleneck. Not because the data was wrong or the signals were weak — but because loading them took too long. For accounts with large signal volumes, cold loads stretched to 46 seconds. Some pages timed out entirely.

That is not a minor inconvenience. That is a workflow killer.

We fixed it. The Signals page now loads in 376 milliseconds. That is a 122x improvement — and it changes what is possible for teams that live in signals all day.

Switching sales engagement platforms is not a decision anyone makes lightly. Your team has built cadences, trained reps, and wired integrations into a system that — for better or worse — runs your outbound motion. Ripping that out and replacing it carries real risk.

This guide is for sales leaders and RevOps professionals who have already decided Salesloft is no longer the right fit and want a clear, practical roadmap for moving to MarketBetter. We will be honest about where the migration is straightforward and where it requires work.