
These interactive miniapps are inspired by real customer use cases, white-labeled to fit AlmaProtect, our fictitious company — so every dashboard, heatmap, and analysis shows the kind of app Upside builds from your go-to-market data, with illustrative numbers in place of real ones.
Interactive heatmap that finds the day-and-hour windows where outbound sales emails earn the most replies, with audience segmentation, 95% significance testing, a volume-vs-response quadrant, and a what-if reply-lift calculator.
Measures how AI engines (ChatGPT, Perplexity, Gemini, Claude) influence pipeline by fusing citation traffic, call mentions, and CRM notes. Shows win-rate lift, share of voice vs competitors, per-platform sentiment, search themes, and a filterable table of AI-influenced deals with the evidence behind each detection.
Breaks down which marketing and sales channels influenced closed-won deals across the full buyer journey (awareness, activation, close). Includes a deal-by-channel matrix with touchpoint evidence, per-channel deep dives, a multi-touch attribution comparison, founder-led influence, and prioritized recommendations.
A website-ready voice-of-customer wall that surfaces quotes from call transcripts, alongside the full roster of customers and design partners. Search across quotes and accounts, filter by company, and see each account's logo-use rights so you always know who you can feature publicly.
After someone engages with a campaign, how fast does sales follow up — and who's still waiting? A sidebar-organized tracker with a summary of fastest/slowest reps and best/worst campaigns, a per-campaign roster with follow-up status, a 'needs follow-up' routing list grouped by owner, and speed-to-follow-up leaderboards by campaign, rep, and month.
Quantifies how a founder's appearances on a leading security-operations podcast move pipeline, as both a lead source that brings buyers in and a proof point that helps reps close. Tabbed analysis with win-rate lift vs. the company baseline, revenue by quarter, a filterable deal table, a voice-of-customer wall of buyer quotes, an interactive timeline, and a recommended-plays advice tab.
Scores every account against a sales playbook so reps can see which accounts fit each play, when to run it, and why each one qualifies. Filter, sort, and drill into any account for its fit signals, sales motion, persona coverage, buying triggers, differentiation versus the incumbent, and a ready-to-run action plan with discovery questions, talking points, and objection handling.
Surfaces accounts showing buying signals with no open opportunity, ranked by intent, with per-account proto-opportunity dossiers, signal timelines, and recommended actions.
Classifies how much each prospect already knows about AlmaProtect before an SDR call, across 2902 sampled cold and warm calls. Includes an overall awareness donut, a reachable-only breakdown, quarter-over-quarter stacked trends, an 8-level notable-quotes wall, and a searchable, sortable call-detail table with CSV export.
How paid search and paid social turn spend into sourced and influenced pipeline. Combines paid-search performance (campaigns, keywords, landing pages) with paid-media attribution (by platform, net-new vs install base, spend-to-pipeline lag, conversion velocity, and multi-touch journeys) — plus ROAS, cost-per-opp, and strategic recommendations.
A lean sales rep scorecard that tracks high-signal engagement and opportunity-influence metrics for AlmaProtect's security sales team, rolled up by division and rep with quarter-over-quarter comparison on every KPI, a by-division chart, and a sortable rep leaderboard.
Connect your go-to-market data and turn a prompt into an interactive app like these, using your own numbers.
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