# ResponseTap > ResponseTap is an enterprise call intelligence platform that attributes inbound phone calls to individual website visitors and paid search keywords, records and analyzes conversations, and returns call outcomes to advertising platforms and CRM. A long-established UK vendor, it serves large advertisers in retail, automotive, financial services, and travel where phone calls carry a substantial share of revenue. - Category: Call Tracking & Attribution (https://saastracker.org/categories/call-tracking) - Website: https://www.responsetap.com - Starting price: Quoted; enterprise contracts - Free plan: No - Free trial: Demonstration and pilot arrangements through sales - Founded: 2008, HQ: Manchester, United Kingdom, Ownership: Private, investor-backed - Profile last reviewed: 2026-08-22 - Canonical profile: https://saastracker.org/products/responsetap ## Overview ResponseTap has been in call tracking since the market's early days and has stayed with a consistent proposition: complete attribution of phone revenue for organizations spending seriously on digital advertising. Its visitor-level tracking assigns a unique number per session, so a call can be traced not only to a channel but to the search term, campaign, and content path that produced it. Conversation analytics sit on top: transcription, phrase detection, call classification, and outcome scoring, used both for marketing insight and for measuring how enquiries are handled. For a retailer or a dealership group, the second use is often the more valuable, because the same data that tells marketing which campaign generated a call tells operations whether anyone converted it. It is unambiguously an enterprise product: quoted pricing, an implementation project, and a customer base of large advertisers. Its UK origins give it strong European data handling and support presence, and it competes head to head with the other established British vendor in this space as well as with the American platforms. Small businesses are not the target and should not attempt to be. ## How it works 1. Dynamic number insertion assigns a unique tracking number to each website session, so any resulting call carries the visitor's full journey including source, campaign, keyword, and pages viewed. 2. Calls route through to the business with configurable rules, IVR, and business-hours handling, while recording and analytics capture the conversation for later analysis. 3. Speech analytics transcribes the call and applies configured detection: phrases indicating an enquiry type, an outcome, a compliance requirement, or a missed opportunity, producing structured classification without manual review. 4. Outcomes flow outward as conversions into Google Ads and other advertising platforms, as events in analytics, and as records in CRM, so bidding, reporting, and sales follow-up all reflect what the call produced. ## Best for Large advertisers in the UK and Europe with high call volumes and substantial paid search budgets, where attributing revenue to individual keywords and measuring call handling both materially affect performance. ## Not the right fit for - Small and mid-sized businesses, where self-serve call tracking answers the same practical question far more cheaply. - Pay-per-call marketers needing buyer routing and bidding marketplaces. - Organizations that cannot record calls, since analytics depend on recordings. - Buyers wanting published pricing and immediate self-serve access. - Businesses with modest call volumes where speech analytics has too little to work with. ## Features ### Attribution Connecting revenue to the specific marketing that produced it. - **Visitor level tracking**: A unique number per session ties each call to that visitor's complete journey rather than to a channel average. - **Keyword-level reporting**: Paid search calls attributed to the exact search term, which is where large search budgets get reallocated. - **Offline campaign numbers**: Dedicated numbers for print, television, radio, and direct mail reported alongside digital channels. - **Journey context on call records**: Pages viewed and prior sessions attached to the call, giving sales context and marketing a fuller path. - **Number pool management**: Pool provisioning and rotation sized for concurrency so attribution stays accurate on high-traffic sites. ### Conversation analytics Structured meaning from unstructured calls. - **Transcription**: Automatic speech to text across recorded conversations as the basis for classification and search. - **Phrase and keyword detection**: Configured terms identified across calls to flag enquiry types, outcomes, and compliance language. - **Call classification**: Automatic categorization so reporting reflects what calls were about rather than only how many arrived. - **Outcome scoring**: Detection of sales, appointments, and unconverted opportunities without manual listening. - **Recording search**: Query the archive for every call containing a phrase, turning recordings into a research resource. ### Call handling What the caller experiences. - **Routing rules**: Distribution by time, geography, source, or team, with fallbacks so calls are not lost. - **IVR and menus**: Qualification before connection, with selections recorded against the call for reporting. - **Whisper announcements**: Campaign context read to the agent before the caller is connected. - **Out-of-hours handling**: Routing, voicemail, and missed call reporting so demand outside opening hours is measured rather than lost silently. - **Recording controls**: Consent announcements, retention settings, and redaction appropriate to European requirements. ### Integration and enterprise fit Working inside a large marketing stack. - **Advertising conversion feedback**: Qualified calls returned to Google and Microsoft advertising so automated bidding targets phone outcomes. - **Analytics integration**: Call events delivered into GA4 and enterprise analytics platforms for combined funnel reporting. - **CRM integration**: Call records and outcomes written to CRM, giving sales the marketing context behind each enquiry. - **Custom reporting and export**: APIs and data export for organizations that model attribution in their own environment. - **Multi-brand configuration**: Separate brands, regions, and business units managed under one account with appropriate access control. ## Use cases - **Retail group measuring phone revenue from search**: A significant share of high-value orders start with a phone call that search reporting never sees. Outcome: Keyword-level call attribution exposes terms driving phone revenue with no online conversion, and bidding strategy changes materially. - **Automotive marketer comparing dealer performance**: Enquiry volume is similar across sites but sales results differ sharply. Outcome: Call classification and outcome scoring show where enquiries are being converted and where they are not, separating marketing from execution. - **Financial services team meeting compliance obligations**: Required disclosures must be evidenced across every call, not a sampled few. Outcome: Phrase detection across all recordings identifies calls missing required language, with redaction protecting sensitive content. - **Travel brand understanding demand patterns**: Call volumes spike unpredictably and nobody knows what callers are asking about. Outcome: Automatic classification reveals the enquiry themes behind spikes, informing staffing, content, and campaign messaging. ## Pricing Quoted subscription based on call volume, number requirements, and analytics scope, with annual contracts and implementation support. No self-serve tier or published pricing. - **Core tracking**: Quoted annual. Visitor and keyword level attribution; Recording and standard reporting; Advertising and analytics integrations. - **Call intelligence**: Quoted annual. Speech analytics, phrase detection, and classification; Outcome scoring and quality reporting; Advanced integration and export. - **Enterprise**: Quoted annual. Multi-brand and multi-region deployments; Compliance, redaction, and access governance; Dedicated account management. Billing notes: - Volume, number pool size, and analytics scope drive the quote; each should be specified explicitly rather than assumed. - Number pools carry ongoing cost and must be sized for concurrency rather than daily visits to preserve attribution. - Speech analytics is typically the largest increment above basic tracking. - Annual contracts with implementation are standard, and pilots are the usual evaluation route. - All figures as of August 2026 are negotiated per account, with no published list pricing. Value assessment: The value case is proportional to search spend and phone revenue. An advertiser reallocating budget across keywords using call data typically finds more efficiency in a quarter than the contract costs in a year, and the conversation analytics add a second return through handling quality. Below substantial volume neither benefit is large enough to justify enterprise pricing, and the self-serve tools cover the basic attribution question adequately. ## Strengths - Attribution granularity down to visitor session and search keyword. - Mature speech analytics covering every call rather than a sampled subset. - Strong European data handling and support presence for UK and EU buyers. - Long operating history in the category with established enterprise references. - Offline channel measurement alongside digital attribution. - Multi-brand and multi-region configuration for large organizations. ## Limitations - Enterprise pricing with no self-serve path or published rates. - Implementation is a project involving number provisioning and integration work. - Requires call recording with the consent obligations that carries. - Speech analytics needs volume to produce reliable patterns. - Limited relevance outside its core high-volume verticals. - Smaller presence in North America than the largest US competitors. ## Comparisons - **ResponseTap vs Infinity**: The direct domestic rival, with a nearly identical proposition: UK-founded enterprise call intelligence with visitor-level attribution and speech analytics. Differences are in specific integrations, analytics depth, reporting style, and commercial terms rather than in category positioning. Buyers in this market routinely shortlist both and decide on a scoped proof of concept. - **ResponseTap vs CallRail**: Different scale entirely. CallRail is self-serve, transparently priced, and sufficient for the vast majority of businesses and agencies. ResponseTap serves large advertisers where keyword-level call attribution moves substantial budgets and compliance obligations require full-coverage conversation analysis rather than sampling. - **ResponseTap vs Invoca**: Both are enterprise call intelligence platforms with AI conversation analysis. Invoca has a stronger North American presence and deeper marketing activation and contact center integration; ResponseTap is stronger in the UK and Europe with local data handling and support. Geography and existing stack usually decide it more than capability comparison. - **ResponseTap vs Marchex**: Two long-established vendors with quoted contracts and similar capability on paper, separated mainly by market and emphasis. ResponseTap's strength is visitor-level attribution down to the search term for large European advertisers, with UK data handling and support. Marchex is North American, with vertical outcome models and agent scorecards aimed at multi-location and franchise operations where call handling quality is the measured problem. Data residency and where your locations are usually decide this before features do. ## Implementation - Setup time: Weeks. Number provisioning, tagging, pool sizing, routing, integrations, and analytics configuration each take time, and multi-brand deployments extend it further. - Learning curve: Moderate. Search marketers grasp the attribution model quickly, while configuring phrase detection and classification well requires iteration and review against real calls. - Onboarding: Implementation support and account management are standard for enterprise agreements. - Migration: Number porting is the long-lead item and should be planned before campaigns switch. Validate attribution against a known control period, and size pools for concurrency, since under-provisioning is the usual cause of attribution that fails to reconcile with advertising platform data. ## Platform, API & security - Platforms: Web application, JavaScript tag for number insertion, Telephony infrastructure, REST APIs - API: APIs for call data, transcripts, and analytics, with integrations across advertising, analytics, CRM, and business intelligence platforms. - Compliance: GDPR, UK data protection requirements, PCI-aware redaction, Jurisdictional call recording consent - Data residency: UK and EU data handling. - SSO: Available on enterprise agreements. - Security notes: Redaction of payment and sensitive data in recordings and transcripts, plus role-based access, support deployments in retail and financial services where recordings are themselves regulated data. ## Support - Channels: Account management, Technical support, Implementation services - Documentation: Administrator-oriented documentation covering tagging, pools, integrations, and analytics configuration. - Community: Established relationships across UK agencies and enterprise marketing teams, with published research on call-driven revenue. ## Company - Founded: 2008 - Headquarters: Manchester, United Kingdom - Ownership: Private, investor-backed - Employees: ~100 (est. 2026) - Funding: Backed by private investment over a long operating history. Timeline: - 2008: Founded in the UK as one of the first dedicated call tracking providers for digital advertisers. - 2013: Visitor level tracking establishes keyword attribution for phone calls as a mainstream capability. - 2018: Adds speech analytics and classification, moving from tracking to call intelligence. - 2021: Expands compliance and redaction capability for regulated sectors. - 2026: Continues serving large UK and European advertisers with phone-driven revenue. ## Integrations Google Ads, Microsoft Advertising, Google Analytics 4, Salesforce, Adobe Analytics, HubSpot, Looker Studio ## FAQ ### What is ResponseTap? ResponseTap is an enterprise call intelligence platform that attributes inbound phone calls to individual website visitors and paid search keywords, records and analyzes conversations with speech analytics, and returns call outcomes to advertising platforms, analytics, and CRM systems. ### How much does ResponseTap cost? Pricing is quoted rather than published, based on call volume, number pool requirements, and analytics scope, with annual contracts and implementation support. It is aimed at large advertisers, and small businesses should look at self-serve alternatives instead. ### What is visitor level call tracking? Each website session receives a unique tracking number, so a call ties to that specific visitor's journey rather than to a channel in aggregate. For paid search this delivers keyword-level attribution, which is the granularity needed to change bids and budgets rather than just observe that search works. ### ResponseTap vs Infinity: what is the difference? They are close rivals with very similar propositions: UK-founded enterprise call intelligence with visitor-level attribution and speech analytics. Differences come down to specific integrations, analytics depth, reporting preferences, and commercial terms, which is why buyers usually run a scoped proof of concept across both. ### Can it measure how well calls are handled? Yes. Speech analytics classifies outcomes and detects missed opportunities across every call, which lets an organization distinguish between campaigns that generate poor enquiries and locations or teams that convert good enquiries badly. That distinction is often worth more than the marketing attribution itself. ### Does it track offline advertising? Yes, using dedicated numbers assigned to print, television, radio, and direct mail, reported alongside digital channels. For brands running substantial offline media this is frequently their only quantitative measure of those campaigns. ### How does it help Google Ads performance? By importing qualified calls as conversions, defined by duration or by content detected in the conversation, so automated bidding optimizes toward the keywords producing genuine enquiries. In categories where the phone closes revenue this is usually the single largest available efficiency gain. ### Is call recording compliant under GDPR? It can be, with a lawful basis, clear notice, appropriate retention, and redaction of sensitive content. The platform provides announcement, retention, and redaction controls and handles data in the UK and EU, but the compliance obligations themselves remain the customer's. ### How many tracking numbers are needed? Enough for concurrent website sessions rather than total visits, which on large sites means substantial pools with ongoing cost. Under-provisioning recycles numbers too quickly and misattributes calls, and it is the most common technical cause of call data that does not reconcile with advertising reporting. ### Is ResponseTap suitable for a small business? No. Quoted enterprise contracts and a multi-week implementation are disproportionate for a business receiving modest call volumes, and speech analytics needs scale to be meaningful. Self-serve call tracking tools cover the practical attribution question at a small fraction of the cost. ## Editorial verdict ResponseTap has spent a long time doing one thing for one kind of customer, and that consistency shows. Attributing calls to individual visitors and search keywords remains the capability that changes how large advertisers spend, and pairing it with full-coverage conversation analysis answers the second question most marketing teams cannot: whether the enquiries they generated were handled well. Its European data handling and support presence give it a real advantage with UK and EU buyers over American alternatives. It is enterprise in cost, contract, and implementation, and it needs volume to repay any of that. Large advertisers with phone-driven revenue should evaluate it against its domestic rival and the US platforms; smaller businesses should not be looking here at all. --- Source: SaaSTracker (https://saastracker.org), an independent editorial project. This profile is compiled from public information, carries no peer reviews or paid placement, and was last reviewed 2026-08-22. Awards are judged on published criteria: https://saastracker.org/methodology