You don’t buy the market.
You aim at it, one buyer at a time.
Most B2B campaigns fire at the whole market and hope to hit the right buyers. AlphaGrade aims at the exact company that fits — sniper precision, not carpet-bombing — so your budget only reaches the accounts that actually buy.
Two modules. One result: budget spent exactly right.
Module 01 aims at the right company. Module 02 carries the success signal between channels, so every marketing dollar works toward the same target.
Precision targeting
Aims at who buys, not the whole market
You don't buy all available traffic and hope to hit good customers. AlphaGrade aims at the exact company that fits — and gets more precise from one campaign to the next.
- No budget burned on the wrong market
- Precision that improves, not fades, over time
Marketing 360° orchestration
The loop that lets marketing modules talk to each other
The Websem service that feeds the success signal between channels — who actually became a customer — back into targeting, so Module 01's cycle has something to base each round on.
- 3 channels (PPC, SEO, Social), 15 synchronized modules
- Anti-cannibalization between PPC, SEO and AI visibility
Most B2B campaigns buy the whole market and hope. AlphaGrade aims at the exact company that buys.
- We aim at the company that buys, not the whole market — budget stops going to accounts that never convert.
- Precision improves with every campaign. Signal from real customers, not just leads, sharpens the next target.
- Runs on Google and Meta — not a new platform, a smarter way to use what you already have.
- It has a volume threshold. Below a certain number of conversions, we recommend simple precision targeting, not the full cycle.
From the whole market to exactly who buys
You start from the whole market, land on the exact company that buys, then repeat — more precise each time than the last.
You don't set it once and forget it
Google and Meta already offer the mechanisms — Smart Bidding, Lookalike, Customer Match. AlphaGrade repeats them, re-qualified every campaign, instead of setting them once and walking away.
- Lookalike built once, left running
- Quality drifts down slowly, unnoticed
- Learns only from leads, not real customers
- Re-qualifies with every campaign
- Precision improves, not drifts, over time
- Learns from who actually bought, not just leads
Precision doesn't stop at one channel
A precisely targeted channel still loses impact if the others fire blind. Module 02 is Websem’s Marketing 360° service: it synchronizes PPC, SEO and Social, so signal from real customers on one channel sharpens the target on the others.
Marketing 360°
3 channels, 15 synchronized modules, real-time data — Websem's Marketing 360° service.
See the Marketing 360° serviceWhere the budget goes when you target wide
You buy the whole market
Big reach, small conversion. Part of the budget is guaranteed to go to companies that will never buy.
A lookalike left running on its own
Built once, never updated — lead quality drops steadily even as volume stays high.
Channels that don't talk to each other
Google Ads, Meta and outreach each optimize in isolation. No channel learns from what worked on the other.
Leads mistaken for customers
If you count leads, not paying customers, you optimize for volume — the exact opposite of the precision you're after.
Frequently asked questions
Is AlphaGrade just another name for a lookalike audience?
No. A lookalike is one expansion, built once from a conversion seed, and left running unchanged. AlphaGrade re-qualifies the target with every campaign — it analyzes who actually bought, not just who became a lead, and sharpens the next round of targeting on that signal. Lookalike is a tool AlphaGrade orchestrates, not one it replaces.
Don't you lose volume by targeting this tight?
Targeting that keeps narrowing forever does dry up the lead pool. That's why AlphaGrade reintroduces volume periodically — but strictly on the traits of companies that already bought, not "more of anything." Reach without qualification is exactly what it avoids — that's spray-and-pray with a bigger budget.
What does “marketing modules have to communicate” mean?
That conversion data from one channel (who actually became a customer, not just a lead) has to feed back into the targeting of the other channels. Google Ads, Meta and outreach campaigns each learn in isolation if you don't share the success signal between them. AlphaGrade treats this as an architecture requirement, not a nice-to-have — without the feedback signal, the narrow-widen cycle has nothing to base its second round on.
What platforms does it actually rely on?
On the optimization mechanisms Google (Smart Bidding, Customer Match) and Meta (Advantage+, Lookalike Audiences) already offer — see the sources section below. AlphaGrade doesn't invent a new platform; the difference is how it orchestrates the signal between them, repeatedly, instead of a single pass.
What kind of company does this make sense for?
B2B companies with a sales cycle that lets you clearly define “what a successful deal looks like” — enough conversion volume for the algorithm to have something to learn from by the second narrowing. Below a certain volume, the cycle doesn't have enough signal; there we recommend simple precision targeting first, without widening.
What is Module 02 and how does it relate to Marketing 360°?
Module 01 is the targeting algorithm described above. Module 02 is Websem's Marketing 360° orchestration service — the engine behind "marketing modules have to communicate": 3 channels (PPC, SEO, Social) and 15 modules feeding each other, so one channel's success signal informs the targeting of the others. AlphaGrade is Module 01's decision cycle; Marketing 360° is the channel the signal travels through between all modules.
The real mechanisms behind the cycle
AlphaGrade is a Websem-proprietary methodology, not a separate platform — it orchestrates mechanisms already publicly documented by Google and Meta. We don't yet publish AlphaGrade-specific performance figures: we don't have a verified case study ready to cite, and the site's rule is simple — a figure gets published only with the proof behind it.
- 01linkGoogle Ads Help
Smart Bidding — automated bidding on conversion signal
The official documentation for the mechanism Google already uses to optimize bidding based on conversion probability — the infrastructure AlphaGrade orchestrates, not replaces.
- 02linkMeta Business Help Center
Lookalike Audiences — expanding from a qualified seed
How Meta builds an expanded audience starting from a source set of conversions. The "qualified widening" mechanism AlphaGrade repeats cyclically, not just once.
- 03linkGoogle Ads Help
Customer Match — feeding the success signal back into targeting
The mechanism by which first-party conversion data (who actually became a customer) informs the next round of targeting — exactly the cross-module feedback loop AlphaGrade relies on.
We don’t sell an algorithm. We sell precision.
Everyone claims an algorithm. What matters is the effect: your budget reaches the company that actually buys, not the whole market you could have “covered.” AlphaGrade is how Websem delivers that — verifiable, not just promised.
That’s why it sits alongside Outreach B2B (where who qualifies gets decided) and Marketing 360° (where the precision reaches every channel at once), not apart from them.
Dan Cristian Alexandrescu is the founder of Websem. AlphaGrade started in the agency’s B2B outreach campaigns and was rewritten in 2025 as a targeting methodology, applicable beyond a single channel.
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