Realytics Sales Intelligence

The problem

Your list is half-dead, and the opener never lands.

The current way

You rank people, not businesses

Intent data flags an owner who changed jobs or hit a pricing page. That's a guess about a person — it doesn't tell your reps which businesses have the problem you fix, or what to say.

The failure moment

The opener that never gets a reply

A generic “saw you're hiring” gets ignored. Without something true and specific about the business, the first touch dies in the inbox and the follow-ups go quiet.

The cost

Rep hours on a list you half-trust

Every quarter you hand reps a list and quietly know half of it is dead — and the half that's alive gets a message that could have gone to anyone.

The shift

Personalize to the business — not just the person.

Every sales tool personalizes to people — their title, their job change, the page they visited. Realytics personalizes to the business, and brings the proof.

Intent data

“A person might be looking.”

Job changes, site visits, keyword searches — signals that someone could be in market. Useful, but it's about the individual, and it's a guess about what they need.

Realytics

“This business needs this — here's the proof.”

From real consumer signals: where a business is losing customers, what its market wants, the competitor that appears alongside it taking the same crowd. Speak to the need, and bring the evidence.

How it works

Find. Prove. Act.

1

Find businesses by need

Search 288M outlets across 252 countries for the signal that matters — slipping service sentiment, weekend traffic drifting, a value or fee-transparency gap, demand its market wants that it isn't meeting.

2

Get the proof

For every target, the consumer signal behind the need: what their customers say, where they're losing, who appears alongside them taking the crowd. Evidence you can put in front of them — not a hunch.

3

Reach them and act

Get every channel we have for each target — phone, email, address and socials — and draft the opener with the proof built in. Outreach that reaches the right person and opens with what the business is actually living lands — because it's true, it's specific, and it's sendable today.

Subject: your weekend crowd is drifting 60m down the street

Hi Maria,

Your customers love the coffee — it's the single most-praised thing about your café. But a few keep mentioning slow service on weekends.

Consumer signal: your weekend satisfaction has been slipping, and a café 60m away is drawing the Saturday crowd that used to be yours.

Fixing exactly this is what we do for cafés like yours. Worth a 15-minute look at the numbers together?

— Sam, [Your company]

Sample outreach. Every line above is drawn from real consumer signal — that's what makes it open, reply, and book.

Ways to find them

Target by what a business is — and what its customers do.

Most lists filter by category and headcount. Realytics lets you target by the things that actually decide a sale — the complaint, the demand, the dish on the menu, the venue type, the size, the right hour to call, and the week a problem starts. All from real consumer signal.

288M

businesses to target, across 252 countries

The whole market

Every business you could sell to

Start from the full map — every storefront, venue and outlet we cover. Each filter below narrows it to the exact accounts worth a call.

500K+

aspects of opinion, each scored for sentiment

By complaint

What their customers complain about

Rank a market by a specific complaint — billing, slow service, a fee gap — read from negative sentiment, not a blurred star average. A rave and a gripe count differently, so you lead with the exact problem you fix.

11.5B+

consumer signals across commerce

By demand

What a market wants more of

Where attention and footfall are rising — the pull a business is meeting, or missing. Sell into demand that's already there.

4.36M

foodservice menus, read to the dish

By menu ingredient

Every kitchen that cooks it

We read the menu down to the dish — so you target by an ingredient, not just a cuisine. The exact kitchens your product is for.

3,313

categories, one taxonomy worldwide

By venue type

Every outlet of the type you sell to

Tobacco shops, cafés, clinics, dark stores — the precise category, mapped across the whole market.

630K+

brand chains, apart from independents

By size

Single independents or national chains

Target by real footprint — the owner who decides on the spot, or the chain where HQ signs — so you pitch the buyer your motion actually closes.

Hourly

a popular-times curve, Mon–Sun

By day & time

When it's safe to call or visit

A popular-times curve on every venue — so a rep catches the owner in the quiet window, not the Saturday-night rush.

Weekly

refresh — so the list is never stale

By the moment it starts

The week a new complaint appears

Set a watch and reach a business the week it develops the problem you fix. Be the first call, not the fifth.

How a rep actually uses it

Walk in knowing their one gap — and exactly how to close it.

A flat-rate POS company, prospecting independent restaurants

Payment gripes are 0.16% of complaints. We find the restaurants where they're 40 times that.

0.16% norm vs ~40× outliers ~700 flagged in one country Cash-steering, in their words

Every flat-rate POS rep knows the mechanism: a percentage fee pushes restaurants to steer customers to cash. What no rep can see is which venues are actually doing it — and how extreme the signal is. Across independent restaurants, payment complaints make up just 0.16% of all negative consumer mentions. A restaurant where they run at 6.5% isn't a coincidence — it's a 40× outlier. Realytics finds every one in a market, ranks them by how far above the norm they sit, attaches the exact quoted line their own customers wrote, and delivers the owner's contact. The hunch every rep already has, turned into a ranked, provable, contactable territory.

The market norm — and the outliers

What the market looks like

Payment complaints are rare — 0.16% of negatives

Across independent restaurants in one country, payment-related gripes account for just 0.16% of all negative consumer mentions. That low baseline is what makes the outliers visible — and what makes the signal real.

The outlier — and what it proves

One venue: 6.5% of negatives, all payment. 40× the norm.

The most payment-flagged independent in the market runs 40× above the baseline. Its own customers write the mechanism: "will lie that the card terminal isn't working, ask for cash" — "lied about not having a card machine but was actually hiding it." That's the fee talking, in their words.

The pitch, in four moves

1

Open on the number

"Payment complaints run at 0.16% across independent restaurants. Yours are running 40 times that. Your own customers are telling you why — and so are your card receipts."

2

Name the cause

"A percentage POS takes a cut of every card sale. That creates a real incentive to steer to cash and keep a cheap terminal. The complaints are the evidence your customers noticed."

3

Connect it to money

"You're paying a cut on every card you take, and steering the rest to cash loses the card-native diners who don't carry it. The fee is the problem — and it's showing up in what people write about you."

4

Close on the fix

"One flat rate — same on every card, no monthly fees. Take every card without thinking twice, and the complaint your customers keep writing disappears."

Prepare & close

The territory

This isn't a one-venue diagnosis. Around 700 independent restaurants in a single country flag above 6× the payment-complaint norm — each with its own ranked score, quoted customer line, and owner contact attached. That's a whole prospecting territory, pre-qualified.

The objection, pre-loaded

Expect "we prefer cash." The counter: the signal isn't about preference, it's about the cost of the workaround — and consumers who write "lied about the card machine" don't come back. The complaint is the churn.

When & how to reach them

Every channel we have for the owner — phone, email, address and socials — plus the quiet window to catch them: a weekday mid-afternoon, before the dinner rush.

A global flavour maker, entering a new market

Don't sell every kitchen that cooks chicken. Sell the ones whose chicken their own customers call dry.

78% of moisture mentions: negative 170 of 1,361 kitchens failing Dryness, not flavour

A global flavouring manufacturer wanted into Malaysian foodservice. The instinct was to chase every restaurant that cooks chicken — the dishes its product is built for. Realytics read what diners actually say about the chicken, dish by dish, and surfaced the counterintuitive gap: the complaint isn't flavour (taste reads only 11% negative) — it's dryness and temperature (moisture mentions run 78% negative). Of 1,361 kitchens with a real chicken signal, 170 have a dish their own customers are turning on. The rep walks in with the failure named, the failure mode explained, and the opener in the diner's own words: "chicken was extremely dry and clearly overcooked."

The target — and the non-obvious failure

The usual way

A distributor's stale account list — and a flavour pitch

You inherit whoever the distributor already sells to, and you pitch "make the chicken taste better." The list is a fraction of the market. And the pitch misses: across Malaysian foodservice, taste runs only 11% negative. Flavour isn't the problem.

Sourced from consumer signal

170 kitchens with a failing dish — and the real failure named

Realytics reads dish-level consumer opinions at scale. Moisture mentions run 78% negative. Temperature runs 62% negative. Of 1,361 Malaysian venues with a robust chicken signal, 170 have majority-negative consumer opinions — and a handful sit inside the high-traffic tier, busy and breaking at once, invisible to any volume-only list.

The pitch, in four moves

1

Open on the dish — and the diner's words

"Your customers love this restaurant. But on the chicken, they keep saying the same thing: 'dry, tough, and completely lacking in moisture.' Not the flavour — the texture and the temperature."

2

Name the counterintuitive fit

"The fix isn't seasoning — it's consistency and moisture retention through the cook. That's precisely what this product is built for. It doesn't change your recipe. It makes the same dish land the same way every service."

3

Connect it to money

"Diners who get a dry chicken once don't order it again. You're carrying the dish on the menu and losing the repeat on it. A more consistent plate is a dish that earns its place."

4

Close on a tasting

"A sample drop and one dish to trial this week — taste it on your own menu before you commit to anything."

Prepare & close

The angle

Target by the failure, not the menu: the 170 kitchens with a majority-negative chicken signal are the ones with a problem your product solves — the other 1,191 don't need the pitch today.

Busy and broken

The most openable prospects hide inside the high-traffic tier — venues with hundreds of chicken mentions and a dish running above 35–44% negative consumer opinions. A volume-only distributor list would chase them blind, with the wrong pitch.

When & how to reach them

Every channel we have for each kitchen — phone, email, address and socials — clustered by district to plan the rep route.

A multi-country food-delivery platform, signing merchants

Two restaurants. Same demand. One arrives cold.

Same demand tier, 50/50 split Cold-food signal, pre-sign Sign the ones that stick

A food-delivery growth team's blind spot isn't which restaurants their market wants — it's which of those will keep the customer after order one. In one dense metro, among the highest-demand restaurants not yet on the platform, the split was an exact coin-flip: half ran clean delivery-experience signal and half were already torching it in their own customers' words — "lukewarm," "came out cold," "almost frozen in the middle." A demand-ranked list puts the cold-food merchant at the top. Realytics re-ranks the same un-signed merchants by demand AND by what their customers already say about the delivery experience — so the team signs the ones that will stick, and skips the ones that churn the customer on the first bad order.

The blind spot in every demand-ranked list

Demand only

A coin-flip on delivery quality

Your own order data or a scrape can approximate which restaurants a catchment wants. It cannot see pre-sign delivery-experience sentiment — the merchant isn't on your platform yet, so there are no orders to learn from. Among 25 equal-demand un-signed restaurants in one dense metro, 11 were delivery-clean and 11 were delivery-toxic. Same demand tier, opposite outcomes.

Demand + delivery-readiness

The merchants that will delight order one

Realytics layers consumer-opinion signal — food temperature, accuracy, freshness, packaging — across the full un-signed universe, before a single contract is signed. The re-ranked list surfaces the high-demand merchants who are already delivering clean, and flags the ones whose customers are already writing "came out cold" and "almost frozen in the middle."

The pitch, in four moves

1

Open on the merchant's own signal

"Customers around you are already talking about how your food travels — and they're saying it arrives hot and right. That matters more than most platforms know."

2

Name the gap

"Most of the demand near you is going to merchants further out, because you're not on us yet. The orders are there — your kitchen is ready for them."

3

Connect it to money

"Those orders exist today. Getting live means capturing demand that already belongs to you — no marketing spend to create it."

4

Close on a fast start

"Getting you live takes a few days. Worth fifteen minutes before the weekend rush?"

Prepare & close

The angle

Sell captured demand, not exposure: the orders already exist nearby — and this merchant's own consumer opinion signal says they're ready to earn the re-order.

Ranked by fit

By demand, delivery-readiness signal and cuisine in each catchment — so reps work the merchants most likely to say yes and actually perform on the first order.

When & how to reach them

Every channel we have for the merchant — phone, email, address and socials — plus the quiet pre-service window and the demand line ready to open with.

A global lighter maker, expanding distribution into traditional trade

The busiest corner shop can still be turning lighter buyers away.

Convenience & tobacco trade Ranked by the empty rack Stockout signal → the pitch

A global lighter maker wanted into traditional trade — the convenience stores, kiosks and tobacco shops where lighters actually sell. An address list ranks them by size. Realytics read what their own customers say at the till — and found something the address list can't: 2 of every 3 lighter mentions at these outlets are "they didn't have one." The same shops are praised for their range. The rack looks full. The counter lighter is missing — every day, across hundreds of outlets. Those are the accounts worth prioritising, ranked by the gap, with the line and the contact for each.

The outlet list — and what a footfall rank misses

The footfall rank

Busy shops, no signal on the gap

Traditional trade is ranked by traffic: the busiest tobacconist gets the first call. But a high-traffic outlet can look like a good account — strong range, loyal shoppers — while quietly turning lighter buyers away every day. Footfall doesn't see a till-side stockout.

Ranked by the stockout signal

The outlets where the rack keeps coming up empty

Realytics reads what consumers say at the counter — and in the convenience and tobacco channel, 2 of every 3 lighter mentions are "couldn't find one" or "out of stock." At the same outlets, cigarette selection is praised for its range. The range is fine. The counter lighter is the gap. That gap is your opening — ranked per outlet, with the contact.

The pitch, in four moves

1

Open on the stockout

"Your customers rate your tobacco and cigarette range highly — but 2 of every 3 lighter mentions at outlets like yours are 'they didn't have one.' The demand is there. The rack isn't keeping up."

2

Name the fit

"A lighter is a counter impulse buy — the customer reaching for cigarettes reaches for a lighter at the same moment. Your range earns the visit. The lighter is the add-on you're losing at the till."

3

Connect it to money

"A counter rack is high-margin impulse volume on space you already have. No new category to manage — you restock on what sells, and you stop sending lighter buyers to the shop next door."

4

Close on a starter rack

"We'll drop a starter rack this week — no upfront cost, you restock on what sells. The stockout data tells us which formats move fastest at outlets like yours."

Prepare & close

The angle

The best account is not the biggest shop — it's the shop whose own customers say they couldn't buy a lighter there. Consumer signal re-ranks the territory; footfall alone can't see it.

The whole channel, routed

Every convenience store, tobacco shop and kiosk in the market — ranked by the stockout signal, clustered by district so the field team runs a full route, not a guess.

When & how to reach them

Every channel we have for each outlet — phone, email, address and socials — plus the outlet's own consumer signal to open the conversation with.

A global matcha producer, entering the US

The #1 matcha chain has the #1 matcha problem.

Matcha demand, ranked Satisfaction vs each chain's own baseline Built on US consumer opinion

A global matcha producer needed its first US accounts, in order. Realytics ranked every chain by matcha demand and overlaid its matcha verdict — and the list runs the wrong way. The chains pouring the most matcha satisfy it the least. The #1 name by matcha conversation sits at 35% positive; authentic specialists run past 90%. At each big chain, matcha scores 9–15 points below that chain's own overall — a specific, nameable weak spot, not a vague execution gap. The opener writes itself.

The pattern, and the opening

The gap

More matcha volume, worse matcha verdict

US matcha conversation has grown nearly 18× in five years — a category still climbing steeply. But the chains serving the most matcha score the worst on it: the two biggest names by matcha volume post 35% and 31% positive respectively. Consumers say exactly why: matcha color accuracy is 94% negative and value for money is 80% negative. "Barely green." "Brown." "Not worth it."

The opening

Authentic supply is the one matcha attribute consumers reward

Across all the negativity, one matcha attribute scores positive: authenticity — 75% positive on average. That is the producer's exact value proposition. The target list is every chain ranked by matcha demand × matcha dissatisfaction, each with the proof pulled from its own customers' words and the contact to reach the buyer.

The pitch, in four moves

1

Open on the demand

"Matcha is one of the fastest-growing things you serve — US matcha conversation is up nearly 18× in five years, and still climbing. Your customers want it."

2

Name the gap — against their own baseline

"Your matcha satisfaction sits 9–15 points below your own overall score. It's not that big chains rate low on everything — matcha is the specific drag. And the most-talked-about complaint, by a wide margin, is value: 80% of your customers' matcha opinions on price say it isn't worth it. They're paying the premium and saying so out loud."

3

Land the sensory proof

"Here's why they feel that way: 94% of opinions on matcha color say it's wrong. 'Barely green.' 'Brown.' When the drink doesn't look like matcha, the premium has nowhere to stand. The value complaint and the color complaint are the same complaint."

4

Close on the fix

"The one matcha thing your customers already reward is authenticity — 75% positive. That's what we supply. Trial it on one drink in a few stores and read the lift in the numbers within weeks."

Prepare & close

The ranked call list

Every chain ordered by matcha demand × matcha dissatisfaction — so the rep calls the highest-opportunity account first, not the biggest name by revenue.

The proof on the table

Each chain's matcha verdict vs its own overall, the color and value complaint rates in its customers' own words, and the specialist ceiling it's being measured against.

When & how to reach them

Every channel we have for the buyer — phone, email, address and socials — so the pitch that arrives pre-loaded with their own data goes straight to the right desk.

A deposit-alternative payments company, prospecting car-rental brands

Their cars score best in the market. Their deposit complaints score worst.

Cars 90% loved Deposits 93% hated The account you'd skip

Rank a market's car-rental brands by overall consumer opinion and one brand sits top-three — its vehicles read near-best-in-class. You'd deprioritise it. But its deposit complaints are the worst of any major: 92.8% of deposit opinions are negative, against a field where even the worst rivals hold below 90%. Strong product, one removable blocker. Realytics surfaced the inversion, the verbatim pain to open on, and the phone for every branch — the highest-conversion account, hiding in plain sight.

The account, and the one gap

Not the cars

Fleet satisfaction reads near-top of the market

90.4% of vehicle and condition opinions for this brand are positive — second only to the field leader, across 2,676 mentions. Overall sentiment puts it top-three in the market. A seller ranking by overall opinion would move on.

The one gap — and why it matters

The deposit policy is the single thing customers hate

"£1,500 just as a deposit." "Debit card not good enough for them." "Deposit higher than the bigger rental companies." 92.8% of deposit opinions are negative — worst of any major in the market. The cars are not the problem. The policy is. And the policy is exactly what this seller removes.

The pitch, in four moves

1

Open on the rank

"Your vehicles score near the top of the market — 90% of vehicle opinions positive. But 93% of your deposit opinions are negative. Worst of any major. Your own customers' recent words, ranked."

2

Name the gap, and its cause

"It's not the cars — it's the £1,500 hold and the debit refusal. That policy is there to cover damage, theft and fines. The cars aren't the problem."

3

Connect it to money

"Every customer without a credit card or £1,500 spare is a booking you turn away at the counter. The policy that caps your risk is capping your revenue — and the deposit complaint is the one thing preventing a near-perfect score."

4

Close on the fix

"We replace the deposit with a small daily fee and take the damage, theft and fine risk onto us. You stop turning away debit customers, the deposit complaints fall away — and nothing about the cars changes, because nothing needs to."

Prepare & close

The angle

You're not selling a product — you're selling back the bookings the deposit turns away, and removing the only complaint a near-best-in-class operator has. No repositioning required.

Ranked, with the proof

Every brand in the market, ranked by fleet satisfaction against deposit-complaint negativity — each with the quoted line to open on. The inversion is the list.

When & how to reach them

Phone, address and socials for each location — open at the flagship, route to head office. Contact exactly where the decision is made.

Who uses it

Find your seat.

Your job right now

“Which operators have the problem my product fixes?”

Rank a market by the exact consumer-signal pain your product resolves — then open with proof of it, to the right person.

A target list ranked by the problem you fixBilling, throughput, slow service — ranked by the pain your product resolves, down to the unit.
The proof line, from their own customersSo the first touch is true and specific — not “saw you’re hiring.”
The contact and opener, ready to sendEvery channel — phone, email, address and socials — and the opener drafted from the proof.

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Your job right now

“Which merchants should I sign next?”

Find the restaurants and stores your customers are already ordering from — but that aren’t on your platform yet — ranked by real demand.

The un-signed merchants your market wantsRanked by the consumer demand in each catchment, not a cold list.
The demand as proofWhat that area is ordering and saying — the case that gets a reply.
The contact to sign themThe merchant’s email and direct phone, and the outreach drafted from the demand.

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Your job right now

“How do I show a buyer the demand is real?”

Walk in with the unmet demand in their own market — then make the case for your brand on the shelf or the menu, to the person who decides.

The demand a market wantsWhat an outlet’s market wants that it isn’t meeting yet.
Consumer signal you can put on the tableEvidence the buyer can act on, not a deck of assertions.
Targets ranked by fit — with the contactWhere your brand belongs, and every channel to reach the buyer — phone, email, address and socials.

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Your job right now

“Which operators are primed to expand — and who do I call?”

Find the territories ready for the next unit and the operators whose markets read primed — then reach them with proof.

Trade-area vitality and fit, per territoryWith the consumer signal behind it.
Operators primed for another unitWhose markets read ready for the next location.
The contact and the caseThe decision-maker’s email and phone, and the proof to open with.

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Your job right now

“How do I pitch a tenant this trade area?”

Bring real consumer signal on a trade area’s vitality and the categories it wants — before the conversation, to the right tenant.

Trade-area vitality and fitWith consumer signal behind it, not a footfall guess.
The categories a catchment wantsBut doesn’t have — the gap a tenant can fill.
The prospective tenant, reachableEvidence they can take to their board, and the contact to send it to.

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Your job right now

“How do I win the pitch?”

Combine your playbook with the prospect’s consumer signal — walk in with the gap named, the proof in hand, and the pitch already built.

The prospect’s competitive gap, namedWhere they sit against the field, before the pitch.
What their customers say, as proofReal consumer signal you can put on the table.
Your playbook + our data = the winning pitchThe gap, the proof, and how you’d close it — built before you’re in the room.

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Why it's different

Need, proof, and reach.

Business-need personalization

Personalize to what the business is living — its market, its gap, its slipping experience — not just a person's title or click.

Proof, not guesses

Every angle is backed by real consumer signal you can show the prospect. Every figure carries its sample size and a “compared to what?” frame, so the line holds up if a prospect pushes back.

288M businesses, 252 countries

One of the most complete maps of offline commerce anywhere — so your whole addressable market is in reach.

Built to hold up

One source of truth for every market on Earth.

One source of truth

Every business — and what consumers do and say around it — matched onto a single record across 252 countries and territories, refreshed weekly. Your targets come from one current, deduplicated view of the whole market — not a scraped list going stale by the time you work it.

Compliant by design

Realytics runs on public business information and aggregated, anonymous consumer signal — no personal data. The contact details are the business's own, and it's GDPR and CCPA compliant — so your outreach stands on ground you can defend.

Sell to businesses by what their customers are telling them.

Your list is half-dead, and the opener never lands.

You rank people, not businesses

The opener that never gets a reply

Rep hours on a list you half-trust

Personalize to the business — not just the person.

“A person might be looking.”

“This business needs this — here's the proof.”

Find. Prove. Act.

Find businesses by need

Get the proof

Reach them and act

Target by what a business is — and what its customers do.

Every business you could sell to

What their customers complain about

What a market wants more of

Every kitchen that cooks it

Every outlet of the type you sell to

Single independents or national chains

When it's safe to call or visit

The week a new complaint appears

Walk in knowing their one gap — and exactly how to close it.

Payment complaints are rare — 0.16% of negatives

One venue: 6.5% of negatives, all payment. 40× the norm.

Open on the number

Name the cause

Connect it to money

Close on the fix

A distributor's stale account list — and a flavour pitch

170 kitchens with a failing dish — and the real failure named

Open on the dish — and the diner's words

Name the counterintuitive fit

Connect it to money

Close on a tasting

A coin-flip on delivery quality

The merchants that will delight order one

Open on the merchant's own signal

Name the gap

Connect it to money

Close on a fast start

Busy shops, no signal on the gap

The outlets where the rack keeps coming up empty

Open on the stockout

Name the fit

Connect it to money

Close on a starter rack

More matcha volume, worse matcha verdict

Authentic supply is the one matcha attribute consumers reward

Open on the demand

Name the gap — against their own baseline

Land the sensory proof

Close on the fix

Fleet satisfaction reads near-top of the market

The deposit policy is the single thing customers hate

Open on the rank

Name the gap, and its cause

Connect it to money

Close on the fix

Find your seat.

“Which operators have the problem my product fixes?”

“Which merchants should I sign next?”

“How do I show a buyer the demand is real?”

“Which operators are primed to expand — and who do I call?”

“How do I pitch a tenant this trade area?”

“How do I win the pitch?”

Need, proof, and reach.

One source of truth for every market on Earth.

See it on your target list.