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Bigabid

AI · Tel Aviv-Yafo, Israel · Founded 2015

BigaBid is a data-driven, data-science-focused solution designed for performance marketing in the mobile advertising industry MoreLess

Bigabid is a technology company that focuses on mobile user acquisition and re-engagement for app developers. Operating in the mobile advertising market, Bigabid leverages machine learning to optimize post-install events, ensuring that high-value users are acquired, engaged, and retained. The company serves clients in various app categories, including games, casino, dating, and instant services apps. Bigabid's business model is 100% programmatic and performance-based, meaning it earns revenue based on the success of its advertising campaigns. By utilizing scientific advertising techniques, Bigabid helps its clients grow faster by targeting valuable audiences that other solutions may overlook. The platform also includes advanced fraud prevention tools to ensure the quality and safety of user engagements.

Keywords: mobile advertising, user acquisition, re-engagement, machine learning, app marketing, programmatic, performance-based, fraud prevention, scientific advertising, high-value users.

Valuation $100–500M
Revenue $10–50M
Headcount 100–500
Total funding $10–50M
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Company overview

Bigabid company information

The essential company record, classifications and operating signals in one place.

Status
Operational
Founded
2015
Headquarters
Tel Aviv-Yafo, Israel
Employees
111
Open positions
7
Dealroom signal
76.7
client focusb2btechnologyArtificial IntelligencetechnologyBig DatatechnologyMachine LearningtechnologyNanotechbusiness modelSaaSsectorAnalyticssectorMonetizationsectorPredictive AnalyticssectorUser BehaviorsectorCampaign ManagementsectorNeurologysectorBehavior AnalyticssectorHard Tech

Valuation & funding

Bigabid funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES AEquity / VC Feb 2025 $25M $100M MobilityWare
EARLY VCEquity / VC Jan 2020 $6.3M $25M Undisclosed
SERIES AEquity / VC Aug 2016 $2M $7.9M Undisclosed
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Financials

Revenue and workforce over time

Available revenue and workforce history. Fields without reported data are omitted.

YearRevenueGrowthEmployees
2026 $16M 0% 103
2025 $16M 0% 106
2024 $16M 0% 96
2023 $16M 0% 81
2022 $16M +147.6% 98
2021 $6.4M +82.3% 67
2020 $3.5M 36
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Growth signals

Bigabid website traffic

Latest recorded traffic for Bigabid is 9.6K monthly website visits, down 26.2% over the last three months. Bigabid's team grew 4.7% over the past year.

Latest monthly visits9.6K 3-month web change-26.2% 1-year team growth+4.7%
Monthly website visits122 observations · Jan 2016–Jul 2026
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Comparisons

Bigabid compared with similar companies

Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.

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Talent graph

Bigabid's talent

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Team profiled 12 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 3 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

4 investors on Bigabid's cap table

Sourced from Dealroom's funding and investor records.

Series A 1 investor entered at this stage
MobilityWare
Other known 3 additional known investors
Amir Hirsh
Aviv Garten
Omri Krigel

Global footprint

Where Bigabid has talent and traffic

Workforce by country
8 countries with
team presence
🇮🇱 Israel49%
🇬🇧 United Kingdom6%
🇺🇸 United States5%
🇨🇳 China4%
🇵🇱 Poland2%
Top 5 of 8 shown

In the news

Latest news about Bigabid

Recent press, funding announcements, and product moves mentioning Bigabid — open to read from the original sources.

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Market sentiment

What the market is saying about Bigabid

An AI-synthesized read of the highest-engagement posts about Bigabid on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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