Search and filter 816 marketing tools by category, price, business type, and features.
Ranked by Overall Score: our Editor Rating and Market Signal, 50/50. Market Signal uses Ahrefs and Semrush data through September 2026, pulled October 6 to 19, 2026. How we score
92 tools · page 3 of 3
B2B visitor identification linking company signals to scoring, CRM, and ad activation.
Best for: B2B marketing and revenue teams that want website account identification tied to attribution, scoring, and advertising activation.
B2B sales intelligence platform centered on verified mobile numbers, compliant contact data, intent, and enrichment.
Best for: B2B sales teams that rely on phone outreach and need verified contact data, enrichment, and compliance-focused prospecting.
Open-source lightweight web analytics storing aggregated statistics without cross-page visitor profiling.
Best for: Small websites and developers wanting lightweight analytics that can be hosted by GoatCounter or on their own infrastructure.
Omnichannel analytics for consumer brands that merges ecommerce, Amazon and Nielsen or SPINS retail data.
Best for: CPG brands selling direct on Shopify plus Amazon and grocery or specialty retail that want one view of sell-through.
Desktop visual web scraper for dynamic sites with cloud runs, scheduling, and API access.
Best for: Analysts and developers extracting structured data from interactive websites without building crawlers.
Marketing attribution and intelligence for ecommerce growth.
Best for: Ecommerce brands with meaningful multi-channel ad spend.
Popup and opt-in form tool rebuilt by Showit from the former Sumo product.
Best for: Creative businesses and Showit site owners who want to grow an email list with popups and timers.
Person-level website identification with intent signals, AI chat, routing, and outreach.
Best for: B2B sales teams that want to identify high-intent site visitors and trigger fast personalized outreach or rep routing.
Enterprise digital analytics for cross-channel segmentation, attribution, journeys, and reporting.
Best for: Enterprise analytics teams needing detailed cross-channel behavioral analysis and attribution controls.
Onsite messaging platform with targeted campaigns, revenue attribution, forms, and ecommerce-focused personalization.
Best for: Ecommerce teams that want targeted onsite messages with lead synchronization and campaign-level revenue measurement.
Web data extraction platform combining managed proxies, browser rendering, automated extraction, and scraping services.
Best for: Engineering and data teams that need scraping infrastructure backed by proxy, browser, extraction, and managed service options.
B2B revenue data platform with multi-touch attribution.
Best for: B2B marketing and revenue teams measuring the full buyer journey.
Landing-page builder with AI creation, split testing, heatmaps, and direct marketing integrations.
Best for: Small businesses and marketers that need landing pages they can publish, test, and connect to an existing marketing stack.
Commerce data platform combining automated ELT, a data warehouse and Looker-based reporting for retailers.
Best for: Multi-brand retailers and agencies that sell across web stores, Amazon and retail POS and need one reporting warehouse.
Shopify analytics stack with its own Snowflake warehouse, Polar Pixel attribution and incrementality tests.
Best for: Shopify and Shopify Plus brands spending heavily on Meta and Google ads that want attribution and incrementality without a data team.
AI-powered ecommerce personalization, merchandising and search.
Best for: Mid-size and enterprise ecommerce brands personalizing the storefront.
Multi-touch attribution, marketing mix modeling and incrementality testing.
Best for: Brands comparing attribution, MMM and incrementality in one place.
B2B visitor identification combining company intent signals with automated sales outreach.
Best for: B2B revenue teams that want to identify visiting companies and trigger CRM, email, or LinkedIn actions from observed buying intent.
B2B revenue intelligence using intent signals, predictive buying stages, and seller insights.
Best for: B2B revenue teams prioritizing accounts from intent, fit, and predicted buying stage.
Account-based go-to-market platform combining B2B intelligence, advertising, and sales signals.
Best for: B2B revenue teams coordinating account-based marketing and sales around shared account signals.