The tabs

Scoreboard has eight tabs, and each one answers a concrete management question:

#	Tab	Question it answers
1	The scoreboard	How are we doing today?
2	The opportunity	At which funnel step are customers lost?
3	The team	Who is performing and who isn't?
4	The product	What gets asked about and what sells?
5	The goal	How much do we need at each stage?
6	BIKY Ads	How is the dealership's ad spend performing?
7	Campaigns	How are campaigns performing across the network?
8	BIKY Tokens	How much AI has the account consumed?

This page covers the reading ones. The goal, the only one where you write, has its own page, as does the BIKY Tokens meter.

The scoreboard

The front page: the numbers that matter today, one per step of the sale.

At the top, the leads that reply (MQL) against their goal, with the trend over recent months; below, one card per stage: Interested, Appointments, Show, Pre-sale and Invoices.

Each number brings three things alongside it, and the three are the point:

• Against last month, on the same day — not against the closed month, which halfway through says nothing.
• Against the goal, set in The goal.
• A status: On pace or Behind, depending on whether you are moving at the rate the rest of the month demands. It is the thermometer reading.

Below each one is the conversion from the previous step, the minimum it should be, and how far short you are: SQL / MQL 42.7% · minimum should be 80% · 1,256 interested short. That is the diagnosis: not in the number that dropped, but in the jump that doesn't convert. That box turns green or red depending on whether it meets the standard.

It also shows where the leads come from — facebookad, instagramad, organic, web — with their share, and how many came in with no channel identified.

Below the cards

In the single-account view the scoreboard keeps going:

Block	What it shows
Invoices to date against the ideal pace	What you have against the even pace the goal calls for, with the route to execute — how many invoices a day over the working days left —, where you end up if you keep today's pace, and last month as a reference.
Daily matrix	Each metric day by day, with the daily ideal and the total against the goal.
Money lost	What the month's drop-offs are worth; for example, no-shows never rebooked: appointments that didn't make it to the dealership and nobody booked again.
The return	What you pay Keybe against what the AI advisor gives back in sales and advisor hours, with the month's and the year's ROI and how it is calculated.
The next 12 months	A rough projection: what the account sells in a year if nothing changes against what it would sell hitting the goal, and the three steps to close the gap.

The dealerships, one by one

A table with each dealership's full funnel: in, replied, SQL, appointment, show, demo, pre-sale and invoice, each with its number and its conversion. It filters by brand and by status — ahead, close, behind.

The first row is the group: the sum of all of them. Comparing a dealership against that row says more than comparing it against the goal.

And below, a map of where each dealership is. The ones with no declared location are listed separately, because they cannot be placed.

The opportunity

The same funnel, but seen as a single staircase and against the industry standard. The steps are: No reply, MQL, SQL, Booked, Show, Demo, Pre-sale and Invoice.

For each step: how many there are, what share advanced from the previous step, how it compares to the same day last month, how far along it is against the goal, and how many you should have if you converted at the standard. Each step expands to tell you what is happening in that step's chats and whose job it is to fix it. That last number is the one that stings: Interested (SQL) · 1,436 · the standard calls for 2,414.

The traffic light marks where the leak is — for example, MQL to SQL converting at 35.1% against an 80% standard, or Show to Demo at 20% against 70% — and the tab carries a shortcut to the appointments to recover.

Where to look first

Not the step with the lowest number: the step with the biggest gap against the standard. A step converting at 18% where the standard calls for 70% is eating everything that comes in above it, and fixing it is worth more than bringing in more leads.

In the single-account view the tab keeps going:

• Funnel diagnosis: the month's costliest leak in one sentence, with three signals.
• The sources bringing in leads: where each lead came in, its share, how far down the funnel it gets and, if it comes from ads, spend, CPL and ROI. It groups by channel or by category and carries its own marketing diagnosis: which ad to scale and which one spends without bringing leads.
• The leaks, priced: how many people dropped at each step — interested with no appointment, appointments with no show —, what rescuing them is worth at the price of what you already sold, and two concrete tactics for each leak.
• The harvest: which month and which source this month's sales come from, because every sale was born from an older lead.
• How long a lead lives at each step: how many days today's cards have been waiting at each step against what a healthy dealership takes. Anything beyond that is idle time.

The team

Two different things, worth not confusing.

The team of the selected accounts is a ranking of the dealership's users, filterable by digital advisors, floor advisors, advisors, coordinators and administrators. For each person it shows:

• sales against their goal — the quota assigned in The goal;
• leads attended and pending;
• chats, response time and messages left on read;
• a success index with its rating — Good, Acceptable, Fair… —, or No data if they had no activity.

The AI agent appears in the ranking as one more advisor, so you can compare what it handles against the rest of the team. And whoever shows unattended leads is the first candidate for a Biky plan.

Below, a team diagnosis and the attention: who manages to reply, with the AI advisor compared against the humans.

No quota, no progress

Anyone without a quota shows up without a goal: you see their numbers, but not whether they are on pace. The automatic split only covers advisors; coordinators and administrators stay without a goal unless one is assigned.

Who was on the board is something else: who opened the Scoreboard, when they came in, when they left and how long they stayed. With the detail of how it is measured, which matters:

It is measured with the module open and in view: a tab in the background does not count as activity, and a pause of more than 15 minutes closes the session.

It filters by 7, 30 or 90 days, and sums up how many people came in, how many are in right now, how many entries were logged and the total time.

What it is for

A board nobody opens changes no decisions. This table answers whether the tool actually entered the team's routine or whether one person opens it.

The product

What sells and what gets asked about, which are almost never the same.

It comes from the real CRM cards — from the interest field, with no personal data — and from the month's chats.

• What sells: each model with its units and its amount.
• What people ask about: each model with how many enquiries it got and how many sold, next to the exact words the customer used.
• At the top, the headline crossing the two lists: "people ask about X, but Y sells more". That is conversational demand going unconverted, or an opening for cross-promotion.
• The demand radar: the words people use to ask, mined from their own messages. It is the raw material for SEO and ads — the customer's language, not the catalog's.
• Nicknames and uses · the customer's voice: the agent reads the month's chats and pulls out the nicknames, the uses and the concepts people ask with (down payment, financing, promotions). Triggered with Read the customer's voice.

The case to look for

A model with many enquiries and few sales is not a bad model: it is a model that is badly explained, badly priced, or has nobody attending it. And a model that sells without anyone asking about it is selling itself — there is ad spend to spare there.

BIKY Ads

Everything the dealership needs to advertise better: the ad spend ad by ad, the customer's voice, the locations and the sales cycle, turned into what to stop, what to scale and which piece is missing, with evidence and ready-made copy. It is calculated every night over the whole month. It only exists per account.

At the top, the month's numbers: ad spend, ad leads, median CPL per ad, lead-to-interested conversion and active ads.

What your ad would look like

A preview of the proposed ad as it would run on Meta, Google and TikTok, built from one of the recommendations below and written in the customer's language — the one that comes out of The product.

Your real market area

A map of where people actually write to you from: the month's chats placed by the area code of their WhatsApp, your locations and the radius covering 80% of your chats. Cities more than 120 km away are marked in red: they are hard to turn into a visit.

How much to invest in BIKY Ads

A monthly budget worked backwards from the sales you want to get out of ads: how many pre-sales, shows, appointments and interested leads it takes at each step's standard, how many leads that comes to, and that number of leads × BIKY Ads' cost per lead. Move the number of sales and the budget recalculates.

It starts at 20% of your sales goal. It is a rough figure to size the investment: the suggestion is to start there, measure the first month with your own numbers and adjust. Activate BIKY Ads takes you to sign up with that budget.

What to stop and what to do

The recommendations, in two lists: stop — for example, ads bringing in leads but no interested ones — and do — for example, radius targeting around your locations. Each one says which channel it applies to, carries a score and has the same shape:

Part	What it carries
Evidence	The figure that triggered it: MXN $665 spent on 5 leads and 0 SQL.
Action	What to do, as an executable instruction: what to pause, how to target, which copy to use.
Impact	What to expect if you do it: how much budget you free up or what changes in the funnel.

Stop things first

The stop ones tend to pay best: they free up budget the same day to move it to the ad that does close. And before raising the investment, look at The opportunity: buying more leads is pointless if they fall at the same step.

Campaigns

The view of Biky's whole automotive network: every campaign from every dealership, not just yours (886 campaigns across 158 dealerships · 849 active). Like BIKY Ads, it reads from a nightly snapshot.

At the top, the network's totals: investment this month, leads with their cost per lead, sales with their lead-to-sale conversion, attributed revenue — the invoices born from those campaigns — and ROI with its ROAS.

It filters with shortcuts — all, active now, no declared investment, with sales, leads without sales, best ROI — and by campaign, channel, category (channel, offer, remarketing, always-on), group and dealership. The whole board responds to the selection.

Below:

• Where leads are born: a heat map by zone, with each lead placed by the area code of their WhatsApp and the ranking of cities.
• Dealership ranking: who sells the most, the cheapest and with the most volume. The score weighs sales (40%), ROI (30%), leads (20%) and conversion (10%); with no known investment, ROI neither adds nor subtracts.
• Campaign by campaign: each one with its funnel — leads, interest, appointments, show, sales —, its investment, the revenue and the ROI.

No investment, no ROI

Meta's investment is read automatically (reported by Meta); the rest has to be declared with Enter investment, and until then the ROI stays blank. If the reported figure is wrong, fix it with Correct investment.

What it is for

To benchmark against the network and find the campaigns that bring in leads but not sales: there the ad spend is buying volume the funnel doesn't convert.