All digital rewards (adr) powers seamless, white-labeled reward and incentive experiences for SaaS platforms, HR teams, market…
Category
Demand Generation Software
Software for turning website traffic and contact lists into identifiable leads, and for keeping existing customers buying and referring others.
62 businesses
In a world of closed ecosystems and rising customer expectations, navistone helps growth-minded marketers break through the…
Onemata provides reliable and compliant raw location data that can be analyzed to fuel strategy and growth decisions for…
Stopware, inc . Has led the development and implementation of visitor management security solutions since 1997. Its flagship…
In today’s world, manufacturers who rely on spreadsheets and gut instinct are losing ground. Mp one, our unified pricing…
A safe, secure and local online referral system used by many local citizens advice teams across the UK, refernet enables…
River cities software inc is a computer software company based out of cheyenne, Wyoming, United States.
Shopgram started its journey in oct 2020, when the team decided to look into Shopify as a channel. Analyzing the opportunities…
Social&loyal is a SaaS based omnichannel loyalty platform that allows companies to attract, engage and retain consumers. Our…
Spendgo is now a part of olo! To continue receiving updates about our solutions, please follow olo.
Spoonity is a white-labeled, pos-integrated loyalty solution for your qsr business. Unlike traditional loyalty providers…
Swipx is the first and only independent pan-European sales & marketing platform for software and solution vendors and buyers…
Our core product is welcm, a visitor management system made up of three separate apps: a visitor-facing virtual reception, an…
Workbooks is a CRM SaaS platform used by growing companies to run their business and engage effectively with their customers…
The businesses in this category do two related jobs: they turn anonymous interest into named leads, and they turn one-off buyers into repeat customers. That means unmasking the companies and people visiting your website, capturing details through forms and chat, enriching and scoring that data so sales knows who's worth calling, and finding new prospects to add to the list in the first place. On the retention side, it means running the points, tiers, referral and advocacy programmes that get existing customers to buy again and bring others with them. When it works, marketing stops guessing at demand and starts handing sales a ranked list of accounts actually showing buying signals, and revenue stops depending entirely on new logo acquisition.
People go looking for this when the top of the funnel isn't converting into anything usable. Traffic is up but form fills aren't, or forms fill but the data is junk. Sales complains they get no context on inbound leads, or that the CRM is full of contacts nobody can prioritise. Outbound teams are working stale or incomplete prospect lists. On the customer side, buyers purchase once and never come back, referrals happen by accident rather than by design, and nobody has a system for turning happy customers or engaged staff into a source of new business. The common thread is a gap between activity (traffic, spend, a customer base) and identifiable, actionable demand.
The tools differ mainly in where in that chain they sit and how they get their data. Visitor identification relies on IP-to-company matching or device/cookie-based person-level tracking, so accuracy and legal exposure (especially under GDPR for individual identification) vary a lot between vendors. Lead capture and intelligence tools live and die by how well they integrate with your CRM and enrichment sources, and how much manual cleanup they leave you with. Lead mining tools automate outbound prospecting and list-building, which raises questions about data sourcing and compliance with platforms like LinkedIn. Loyalty and advocacy platforms split along B2C points-and-rewards versus B2B referral-and-advocacy lines, and differ in redemption logistics, program flexibility and reporting depth. When comparing providers, weigh identification accuracy against privacy risk, depth of native integration against flexibility, and whether pricing scales with contacts, visitors or active customers in a way that matches how you'll actually use it.