Ask anything about your leads. Get an answer in every row.

Add AI research columns to the people in your lists, such as an icebreaker, decision maker or buyer persona, or write your own question. AI researches each person, shows its sources, and you pay only for values it finds.

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4.5 on G2 4.9 on Capterra

List: VP Sales, US SaaSData credits used0 Enrich

Name	Decision maker?	Icebreaker from LinkedIn
DDana RuizCorvane Systems
MMarcus LeeNorthwind Labs
PPriya ShahHelix Payments
TTom BeckerBrightline Health
LLena FischerLedgerly

Example data for illustration.

Trusted by 5,000+ customers

Ready-made AI columns for people: 8; Icebreaker, decision maker, seniority, buyer persona and more, or your own question.
Data credits per value found: 3; Empty cells are free, and values already researched are reused at no charge.
Data credits to enrich a person by LinkedIn URL through the API: 5; Profile, current company and job history. No match, no charge.

An AI column instead of an afternoon of tabs

Researching leads by hand

Oppora Lead Enrichment

Opening LinkedIn profiles one by one to write an opening line

One AI column researches every selected person at once

Guessing who actually signs off on a purchase

Decision maker, seniority and persona in their own columns

Notes in a spreadsheet, emails in another tool

Values saved in the list your campaigns send from

No record of where a fact came from

Every value shows its confidence, reasoning and sources

How it works

1
Pick your people
Select people in any list, from Lead Finder, a CSV import or the LinkedIn Extension.
2
Add the columns you need
Choose a ready-made AI column or write your own question. The panel shows the most it can cost before you run it.
3
Use it in outreach
Filter by the new columns and use them as variables in your campaigns.

Ask anything about each person

Open Enrich on your selection and pick from ready-made columns, or create your own by writing what the AI should find, the way you would brief an intern. Add a Personal Email column for people whose work email bounces.

Templates prefill the AI brief for you
Personal Email for bounced work emails
Most a run can cost shown up front

Select Enrichments

Choose the fields to enrich for 25 people.

Search fields…

Suggested

Personal Email3 data creditsFinds their personal inbox. Great when work emails bounce.

Custom AI ColumnsManage

Ask AI anything about each person. It researches and fills the column with the answer. 3 data credits per person, charged only when it finds one.

Try one of these

Icebreaker from LinkedInLoved your take on PLG pricing last weekDecision maker?Yes - owns the sales tooling budgetSeniority levelVPBuyer personaEconomic buyer

Show 4 more

People25Max credits0Balance after9,480

Cancel Enrich 25 people

Check the work behind every value

Click any AI cell to see the answer, how confident the AI is, the reasoning it followed and the pages it read. Edit a value yourself or run the cell again.

Confidence score on each value
Reasoning and source links
Edit or re-run any cell

Cell detailsIcebreaker from LinkedIn

Edit RunRunning

Dana Ruiz, VP Sales at Corvane Systems

Response

Checking profiles…

Turn research into personal emails

Every AI column becomes a merge variable in your campaigns, with a fallback for people where nothing was found. The opening line is written for each person before the email is sent.

From column to conversationExample

Icebreaker column filled
Researched for each person in the list
First line: {icebreaker_from_linkedin}
Merged per recipient, with a fallback
Lead replies
Reply lands in Unibox
Interested
Becomes a deal in your CRM

Example flow for illustration.

Searches you can run today

Copy a prompt into Oppora and adjust it to your market.

Write the opening line
Look at this person and their recent LinkedIn posts or activity, then write a one-line personalized icebreaker to open a cold email with.
A personal first line for every lead, ready to merge into a campaign.
Qualify before you send
Determine whether this person can make or strongly influence a purchase decision for tools in our category. Answer Yes, No or Influencer, with a short reason.
A Yes, No or Influencer on every row, so you can filter to the people who decide.
Catch new hires
Check whether this person started their current role within the last 6 months. Answer Yes or No, with the start month if you can find it.
People new in their seat, who are often reviewing their tools.

What teams say

“The lead finder feature is particularly useful as it lets me locate leads from various places and check local businesses nearby effortlessly. I also appreciate how quickly it finds leads according to my Ideal Customer Profile and allows me to enrich each lead.”
Haider, Computer Softwarevia Capterra
“Everything being in one place has made our workflow much simpler. Earlier we had to switch between multiple tools, but now our team can manage leads, campaigns, and replies without jumping between tabs.”
Gavin Clarke, Sr. People Business Partner, Diligent Robotics

Oppora offers free credits to customers who leave an honest review on G2 or Capterra.

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Free plan, no credit card

How AI lead research works

What to ask, how to trust the answers, and how to use them in outreach.

Ask questions a database cannot answer

Databases hold titles and locations. They cannot tell you whether someone decides on purchases, what they posted about last week, or whether they just started the job.

An AI research column answers one question per person by reading public sources about them, and writes the answer into a column you can filter and sort.

Brief it like a person

Good columns ask one clear question and say what format you want back, such as Yes or No with a short reason, or one sentence under 20 words.

Pick an output type such as text, number, yes or no, or a select list, so the column stays easy to filter.

Trust, then send

Every value comes with a confidence score, the reasoning and the sources used. Spot-check a few cells before you launch, and edit any value that is off.

Then use the column as a variable in your campaign, with a fallback for the rows where nothing was found.

Lead Enrichment FAQ

Something not covered here? Book a demo and ask us directly.

Pay only for values that are found

AI research columnOnly when a value is found: 3 data credits per cell
Personal Email columnOnly when found: 3 data credits per person
Value already researched: Free
Enrich a person by LinkedIn URL (API)Only on a match: 5 data credits

Free plan: 50 data credits a month to try enrichment. Pro and Max: 10,000 (Pro) or 25,000 (Max) data credits a month, plus credit packs.

Compare plans

What is lead enrichment?

Lead enrichment adds missing information to the people in your list, such as their seniority, whether they make buying decisions or a personalized opening line, so you can target and write to them better.

How do AI research columns work?

You pick a ready-made column or write what the AI should find. AI researches each selected person and fills the cell, with a confidence score, its reasoning and the sources it used.

How much does lead enrichment cost?

An AI research column costs 3 data credits per cell, and only when a value is found. Values already researched are reused for free. Before a run, the panel shows the most it can cost.

Can I use enriched data in my emails?

Yes. Any AI column in your list can be used as a merge variable in campaigns, with a fallback when a value is missing.

Which ready-made columns are there?

Icebreaker from LinkedIn, Decision maker, Seniority level, Buyer persona, Recently changed jobs, Topics they post about, Reports to and Speaks at events. You can also add a Personal Email column or create your own.

Can I check or fix a value?

Yes. Click any cell to see the reasoning and source links behind it. You can edit the value yourself or run the cell again.

Can I enrich people automatically?

Yes. Add a Lead Enrichment step to an AI Workflow and it fills your chosen columns for the people in the workflow list.

Is there an API for people enrichment?

Yes. Send a LinkedIn profile URL and get back the person, their current company and job history for 5 data credits, charged only on a match. You can ask for their work email too, for 1 more data credit when one is found.

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