BoostIdeal vs Clay for lead scoring: one finds the data, one scores it
They overlap on one step. Start with which job is broken, getting the data or ranking it, and the choice mostly makes itself.
Clay and BoostIdeal get compared because both can put a score on a lead. They are built for different jobs. Clay finds and enriches data, then runs workflows on it. BoostIdeal scores the data you already have and writes the reasons to the record. For most teams the useful question is not which one to buy. It is which job is the one that is broken.
We make BoostIdeal, so read this with that in mind. What is said about Clay comes from its own product pages, pricing page, and its guide to lead scoring in Clay, checked in October 2026. Clay ships changes often, so check its site before you rely on a detail here.
Start here: which job is broken?
| What is going wrong | The job | Look at |
|---|---|---|
| Records are missing company size, industry, titles, or tech stack | Getting the data | Clay |
| You need new accounts and contacts that are not in your CRM yet | Finding records | Clay |
| You want research on each account written up automatically | Research | Clay |
| The data is there, but nobody agrees which records come first | Scoring | BoostIdeal |
| Reps see a score and cannot say why it is that number | Explaining the score | BoostIdeal |
| The score lives in one person’s table or formula | Owning the model | BoostIdeal |
| Fields are thin and the ranking is not trusted | Both jobs | Clay to fill the fields, BoostIdeal to score them |
If your row is in the top three, a scoring tool will not fix it. If it is in the next three, more data will not fix it either.
What each one is
Clay describes itself as infrastructure to get data, run agentic workflows, and launch go-to-market plays. You work in tables. Each column can pull from a data provider, run an AI research agent, or apply a formula. Its pricing page lists more than 150 data partners, and the pricing is usage-based, with Data Credits for data and Actions for the work the tables do. It connects to HubSpot and other CRMs. At the time of writing, its pricing page lists CRM integrations on the Growth plan and above.
BoostIdeal is a scoring engine. You build a model from weighted factors, with AI helping you analyze your data and draft a starting point. It scores leads, contacts, accounts, and custom objects out of 10, and writes each score to HubSpot with the factors behind it. It can also share those reasons wherever your rep works, such as in Slack or by email. It works with HubSpot, or a CSV you upload. It does not find or enrich data.
Who does what
Lay the work out as a line, from finding a record to acting on it, and the overlap turns out to be one step.
| Step | Clay | BoostIdeal |
|---|---|---|
| Find new accounts and contacts | Yes | No |
| Enrich records with outside data | Yes, from many providers in one table | No. It reads what is in HubSpot or your CSV |
| Research an account with AI | Yes, with its research agents | No |
| Score the record | Yes, with formulas you write in a table column | Yes. This is the whole product |
| Show why it scored that way | Read the formula, or add columns that spell it out | The factors and weights are written to the record |
| Run several models and compare them | Build each as its own columns or table | Several models side by side |
| Score one record using another | Whatever you build with lookups between tables | A contact by its account, or an account by how many contacts it has and their job titles |
| Keep scores current | When the table or column runs | Hourly by default, and in near real time with webhook sync |
| Act on the result | Its own sequencer and ad audiences, or your CRM | Your own HubSpot workflows, lists, and sequences |
Scoring in Clay, fairly described
Clay’s own guide describes scoring as formula columns. You write a condition, such as an employee count above 300, and assign points. You combine conditions, then add the columns into a total. The output can be a number, a checkbox, or a text label.
This works, and for some teams it is the right place to score:
- Outbound lists that live in Clay. If the list is built, scored, and sent from a Clay table and never becomes a system of record, scoring it there is simplest.
- Scores that depend on fresh research. If a factor only exists because an AI column just looked it up, it makes sense to score where the lookup happens.
- One operator, one model. A person who lives in Clay can change a formula in a minute.
It starts to strain in the same places any hand-built score does:
- The model is spread across columns. There is no single page that says what the weights are.
- Reasons do not travel. A rep in HubSpot sees the number that was pushed, not the formula behind it, unless you build and sync extra fields.
- It scores what is in the table. Records that never pass through the table are not scored, and a record is only rescored when its row runs again.
- It belongs to whoever built it. That is fine until they are on vacation, or gone.
What BoostIdeal adds
- Employee count 30% 8.4
- Industry 25% 9.1
- Tech stack (no data found) 20% 0
- Contacts in buying roles 15% 7.8
- Agency or reseller 10% -3.6
The math: 8.4 at 30% is 2.52, 9.1 at 25% is 2.275, and 7.8 at 15% is 1.17. The tech stack field is empty, so it adds nothing. That comes to 5.965. The disqualifying factor subtracts 3.6 at 10%, or 0.36, for 5.605, shown as 5.6.
This is the picture a rep or an agent gets on the record. The account is a good size in the right industry. The score is held down by a field nobody has filled in, not by anything known to be wrong. That is a different instruction from “5.6”: go and find out what they run.
It is also where the two tools meet. An empty field contributes 0 in BoostIdeal. Enrichment is how you stop good accounts from scoring low for lack of data.
Using both
For a team that has both problems, the split is clean.
- Clay fills the fields. Enrich company size, industry, tech stack, and titles, and write them to HubSpot properties.
- BoostIdeal scores them. The model reads those properties. Every record in HubSpot gets a score, including the ones that never went through a Clay table.
- The reasons go to the record. Reps, workflows, and agents read the same factors.
- Your tools act. HubSpot workflows route on the score. If you send from Clay, pull the score back in as a column and filter on it.
- Watch the zeros. Factors that score 0 because a field is empty are your enrichment to-do list.
Before either tool, settle the model on paper. Start from your ideal customer profile, then follow the five-step framework for building an ICP scoring model.
Where Clay is the better choice
- You need data you do not have. BoostIdeal will not find it.
- You are building outbound lists from scratch and sending from the same place.
- You want AI research on each account as part of the workflow.
- Your team has an operator who likes building in tables and has the time.
Where BoostIdeal is the better choice
- Your data is in HubSpot and the problem is ranking it.
- Reps, managers, or agents need the reasons on the record.
- You want one model that several people can read and change.
- You need several models, or scoring that crosses contacts and accounts.
What BoostIdeal does not do
- It does not find, enrich, or research. It scores the data you have in HubSpot, or in a CSV you upload.
- It does not send email, run ads, or run workflows. Those stay in your tools.
- It does not keep a score history or trend view. A score shows its current value and when it was last calculated.
- It does not set the weights for you. AI helps you draft, and a person decides.
Frequently asked questions
Is BoostIdeal a Clay alternative?
Only for the scoring step. Clay finds and enriches data and runs workflows. BoostIdeal scores records and writes the reasons to HubSpot. If you use Clay mainly for enrichment, BoostIdeal does not replace it.
Can Clay do lead scoring?
Yes. Clay’s guide describes scoring with formula columns that assign points based on conditions, added into a total. It suits lists that live in Clay. It is harder to keep as a shared model across a whole CRM.
Can I use Clay and BoostIdeal together?
Yes. Clay writes enriched fields to HubSpot, and BoostIdeal scores them. You can also export a Clay table as a CSV and upload it to BoostIdeal to score a list before it goes into the CRM.
Does BoostIdeal enrich data?
No. An empty field contributes 0 to the score and does not count against the record. Filling the field is a job for enrichment.
Which should I buy first?
Fix the job that is broken. If your records are thin, start with data. If your records are full and your team still cannot agree who to work, start with scoring.
The takeaway
Clay gets you the data and runs plays on it. BoostIdeal turns the data into a score people can read. They overlap on one step, and that step is the one to think about: a score built in a table column is fast and personal, and a score built as a shared model is slower to start and easier for a team to trust. Pick by which job is broken, and use both if both are.