Prospects. Supports the call. Trains the team.A complete ecosystem for B2B sales.
LPH Prospect, LPH Meet and LPH Roleplay cover the before, the during and the after of every meeting. The market hands you pieces. We hand you the cycle.
Where each product enters.
Pipeline is not short on lists. It is short on signal.
- Enriches contact and company before the first touch
- Cadence across email, WhatsApp and phone, with manual LinkedIn touches by the rep in the LPH Touch extension
- Books the meeting and, with a CRM integrated, creates the contact and deal in it
Reviewing the call afterwards does not save the deal that died in it.
- Before: a briefing with company research, contact history and a risk read
- Live: transcription, sentiment, insights and the AI recommendation on the rep's screen
- After: score, talk ratio and follow-up ready, and the NPS comes from the buyer, not the rep
Simulating real pressure in training is what separates the rep who closes from the one who freezes.
- Persona and scenario generated from your real call, not from a library
- Scores per skill (objection handling, qualification and closing), in easy, medium or hard scenarios
- The win/lost debrief becomes the drill of the week
Too few opportunities, conversion that slips on the call and new reps who take long to ramp.
Not enough opportunities in the pipeline.
And reps spend less than 30% of their time selling (Salesforce, State of Sales 2023). The rest goes into research, lists and manual follow-up. Without a cadence, whoever does not reply to the first touch drops out of the funnel.
Conversion is decided inside the call.
Each one brings an objection, and it shows up once, for a few seconds. Reviewing the meeting afterwards shows where the deal stalled, but the conversation is already gone. The manager is not on every call to help in the moment.
New-rep ramp-up takes a long time.
In that time, the rep learns to handle objections on real customers. Classroom training is a one-off event, unrelated to the meeting they lost on Tuesday, and the manager has no calendar left for one-on-one coaching.
You can't sit in on every call. Now you don't have to.
Your reps don't need another tool. They need to know what to say when the objection lands. LPH Meet puts an AI assistant beside them during the call: it follows what is being said and surfaces the next move. LPH Roleplay drills it until it is reflex. LPH Prospect reaches out to the lead and, when they want to talk, books the meeting on the rep’s calendar. Results stop depending on who happens to be on the call.
“Como Head of Revenue, eu não tinha como revisar todas as calls do time. Era impossível. Dava coaching baseado em amostra e no que cada rep me contava. Com o Meet, cada call sai com score objetivo: talk ratio, objeção mais frequente, onde o deal travou. Em um trimestre o close rate médio do time saiu de 19% pra 27%.”
“Estamos no início do projeto e já vemos resultado concreto: contabilizamos 111 equipamentos vendidos e o pipeline ativo soma mais de 500 veículos e 143 unidades em negociação. Não é só prospecção, é um motor de crescimento.”
“Antes, eu saía de cada reunião tentando lembrar o que o prospect tinha dito sobre orçamento, objeções, próximos passos. Agora a IA organiza tudo em tempo real. Recuperei pelo menos 6 horas por semana que gastava só gerenciando o pós-call.”
What to know before you start.
Three products covering the entire funnel. LPH Prospect covers Prospect through SQL/SAL: it starts from your ICP, finds and enriches the list, runs cadences across email, WhatsApp and phone, creates manual LinkedIn touches for the rep in the LPH Touch extension, and books the meeting. LPH Meet acts on the OPO stage: it listens to the live call and shows the rep insights and recommendations based on the team's Operational Matrix. LPH Roleplay cuts across the whole cycle: it turns real meetings, from LPH Meet or Google Meet, into scored simulations.
Those tools analyze the meeting after it ends. LPH Meet acts during it. While the conversation is happening, it shows the rep transcript, sentiment, insights and recommendations at that moment, with the deal still alive. Post-call analysis exists too, but it is a byproduct, not the product. It is the difference between reviewing the game on tape and having the coach in your ear during the match.
That is not the thesis. AI takes over the repetitive work (enrichment, cadence, first touch, follow-up), and the SDR stops being an operator and becomes a strategist, handling strategic accounts and conversations that require judgment. The thesis is the rep multiplied by AI, not replaced by it. Most clients keep the team and change what it does.
No. LPH Meet works two ways, and both are the same product. Either the team uses Meet's own room (lobby, screen sharing, slide presentation and recording), or it stays in Google Meet or Microsoft Teams, in the browser, and turns on Radar, LPH Meet's Chrome extension, which opens the side panel right there: lead data, real-time transcription and live insights. Either way, a recording bot joins the meeting as a visible participant. Picking one or the other changes nothing downstream: the meeting becomes the same record, with the same score and the same mapped objections, tied to the lead.
Setup starts with your website URL: the AI reads the page, extracts what the company sells and suggests the best-fit sales methodology among BANT, SPIN, Challenger, MEDDPICC, Miller Heiman and Sandler. You review, confirm, and the first Operational Matrix is created, including scripts for the five meeting stages (opening, discovery, presentation, negotiation, close). After that it is just connecting the calendar, Google Calendar or Outlook. CRM integration lives in LPH Prospect, native for the main ones: Salesforce, HubSpot, RD Station, Pipedrive and more. There is no data migration and no implementation project, and the onboarding team walks through every step.
In your account, linked to the meeting's contact. The transcript, the mapped objections and each call's score belong to you, and that archive is what feeds your team's Roleplay, not a model shared across customers.