Revmore
Predictive AnalyticsAI platform that tunes in-app purchase pricing and ad timing to grow app and game revenue.
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AI platform that tunes in-app purchase pricing and ad timing to grow app and game revenue.
Automatically sends review requests after each visit but struggles with customization.
Get actionable insights quickly.
Scores and prioritizes sales leads with machine learning, then syncs the results into major CRMs.
Research Buddy curates betting sites not on BetStop, offering detailed reviews and comparisons.
Suits physical AI teams, not B2B marketers.
Scores LinkedIn contacts on personality and communication style, then drafts personalized outreach messages.
Boosts productivity with AI-powered influencer marketing.
Easy setup and remote testing for eye-tracking studies.
Manages reviews, replies and social posts across locations from one AI-assisted inbox.
It is limited to identifying risks in web traffic only; Tavus datus.
It helps brands navigate cultural shifts and maintain a positive public image, but it's expensive.
Get real-time token risk and contract intelligence without building scanner infrastructure.
It suits analysts but may be overwhelming for beginners.
Surfaces one Dutch B2B company at a time, opens its site and social links, and learns which ones fit your offer.
Online tool to count tokens in OpenAI prompts.
Automates data collection and analysis to save time.
Profundo suits researchers and analysts but may not be ideal for those without research needs.
Improves Tet tool by recognizing unpredictable resource needs and quick updates for your data. Uzmanību! Tet Drošība ziņo, ka tā vietne ir bīstama!
Optimize staff efficiency, increase revenue.
Collects detailed follow-up info without guessing.
Create, share, deliver winning slides.
Creative professionals need research-based color recommendations.
It struggles with identifying false negative links, risking data accuracy.
Delivers intelligent solutions through continuous learning and adaptation. Perfect for businesses needing real-time insights.
It suits cyber and fraud teams but not manual process users.
Too rigid for spontaneous research, lacks flexibility.
Track brand mentions across major AI search engines easily, but pricey options include extra features.
For marketers and small teams looking to grow SEO traffic with minimal effort, but not for those seeking deep technical SEO expertise.
Instant customer insights, faster decisions.
Secure domain, quick transfer.
Researchers looking for visual summaries of research topics; not ideal for those needing specific citation counts.
An AI data assistant for Shopee and Lazada sellers covering product picks and marketing.
Suits researchers and analysts; not ideal for simple data tasks.
CloudAI offers AI data analysis for businesses; handles large datasets well.
Free Wildberries and Ozon analytics on ad bids, stock, pricing and top sellers.
Automates data entry for web forms.
kOS simplifies research and provides proof of work with AI tools.
iPick.ai accelerates stock research but lacks comprehensive news summaries.
BNGuard is not suitable for traditional employee advocacy programs that only reshare pre-written content. It requires employees to create original brand-safe content at scale.
Suits businesses of all sizes, but may be overkill for small startups.
Manage teams and payments with AI, off evenings.
Amazon seller software that uses machine learning to surface profitable, low-competition products.
Znote lets you run code inline but requires a connection to external tools for full power.
Collect customer feedback and capture emails with one platform.
Suggests ready-to-send replies to customer questions for Yahoo sellers, powered by GPT-3.5.
Generate insights in minutes, but lacks manual oversight and customization.
AI-powered insights help optimize ad spend and boost profits.
Three worth starting with
Terms to know
AI data and analytics tools cover business intelligence, customer analytics, data visualization, predictive analytics and web analytics. Julius AI answers plain-language questions about a spreadsheet, BigML builds machine-learning models from uploaded data, Piktochart turns tables into charts and infographics, and Ahrefs reports on search traffic and website visibility. Analysts, marketers and founders use them to get from raw numbers to a clear answer without writing SQL or code. Before choosing, check which data sources a tool can connect to, where your data is stored and whether it trains models, how clearly it explains an answer, and whether dashboards can be exported or shared.
Business intelligence describes what has already happened, usually through dashboards and reports built on your existing data. Predictive analytics uses past patterns to estimate what is likely to happen next, such as churn or demand. Many teams start with the first and add the second once their data is clean.
Often yes. Many tools accept a spreadsheet or CSV and let you ask questions in plain language, then return a chart or summary. Always spot-check the numbers against the source, because a confident answer can still come from a misread column or a wrong filter.
It depends on the tool. Look for where files are stored, if your data is used to train models, and if you can delete it. For customer records or financial data, check your company's data policy first and consider anonymising the file before uploading.