Every month, across hundreds of sales offices in India’s building materials industry, the same ritual plays out. RSMs submit their secondary sales reports. Area managers consolidate them. Regional heads present them to the national sales director. The number travels upward through the organisation, gets compared to primary billing, and becomes the basis for the next month’s targets, scheme payouts, and territory decisions.
And almost none of it is entirely accurate.
This is not an accusation. It is a structural reality of how secondary sales data is collected in a distribution-led business. The gap between what an RSM reports as secondary sales and what actually moved from the dealer’s counter to an end customer is not always the result of deliberate manipulation — though that happens too. More often, it is the result of estimation practices, billing timing differences, sub-dealer pass-through that gets counted twice, and a data collection method that was designed for convenience rather than precision.
Understanding why the gap exists — and how to triangulate the real number without relying on self-reported figures — is one of the most practically valuable capabilities a sales operations team can develop. Because the decisions being made on the basis of that reported secondary number — territory investment, dealer scheme eligibility, stock allocation priority — are only as good as the data underneath them.
Why Primary and Secondary Sales Are Structurally Different Numbers
Primary sales — the billing from the manufacturer to the distributor or dealer — is a clean number. It is an invoice. It has a date, a quantity, a price, and a GST trail. It is auditable, verifiable, and reported in real time through the company’s own ERP or billing system. Nobody debates the primary sales number because nobody needs to estimate it.
Secondary sales — the movement from the dealer’s counter to a contractor, a retailer, a sub-dealer, or an end consumer — is an entirely different kind of number. It does not originate in the manufacturer’s system. It originates in the dealer’s billing system, or in their handwritten ledger, or in their memory, or in a WhatsApp conversation with their delivery driver. The quality of the data at source varies enormously from dealer to dealer, and the method by which it reaches the RSM’s report varies almost as much.
In the most common collection method, the RSM asks the dealer at the time of the monthly visit: “Pichle mahine mein kitna nikla?” The dealer gives a number. The RSM writes it down. That number becomes the secondary sales figure for that dealer for that month. The entire process takes approximately ninety seconds and produces a figure that may be accurate, partially accurate, or a rough estimate that the dealer arrived at by mentally reviewing their larger transactions and ignoring the smaller ones.
This is the foundational problem. The primary sales number is a transaction record. The secondary sales number is, in most cases, a conversation output. The gap between these two data quality levels is where most of the divergence between reported and actual secondary sales originates.
The Four Structural Reasons the Numbers Diverge
Understanding the specific mechanisms that cause the divergence helps sales operations teams identify which dealers are most likely to have inaccurate secondary data — and which correction methods are most likely to produce a better picture.
Billing timing mismatch. A dealer may receive a dispatch of 5,000 square feet of tile in the last week of the month and bill it to a contractor on the first day of the following month. In the RSM’s secondary report for the current month, that 5,000 square feet does not appear — it has not been billed yet. In the following month’s primary report, the dispatch has already been counted. The result is a systematic lag where secondary sales consistently trail primary by seven to ten days of billing timing — which over a month can represent 20 to 30% of actual movement being misattributed to the wrong period.
Sub-dealer pass-through double counting. Many tile dealers supply to smaller sub-dealers or retailers in nearby towns who do not have a direct manufacturer relationship. When a dealer sells 3,000 square feet to a sub-dealer who then sells it to a contractor, both transactions may appear in different parts of the secondary sales reporting chain — once when the dealer reports their outward sale to the sub-dealer, and again if the sub-dealer is independently tracked by the same RSM. This double counting inflates secondary sales figures, sometimes significantly, in markets where sub-dealer networks are active — which includes most Tier 2 and Tier 3 geographies.
Unbilled and cash sales exclusion. In many dealer businesses, a meaningful proportion of sales to small contractors, individual homeowners, and local masons happen in cash with no formal bill. The dealer knows the sale happened — they loaded the goods on a tempo and received cash — but it does not appear in their billing system and therefore does not get reported to the RSM. Estimates of unbilled cash sales in the tile and building materials trade range from 15 to 30% of total secondary volume in non-metro markets, depending on the dealer’s customer mix. This proportion has decreased as GST compliance has tightened, but it has not disappeared — and it means that self-reported secondary sales from billing records systematically understates actual physical movement.
RSM estimation and smoothing. The fourth reason is the most human and the most consequential. RSMs who have been managing the same dealer territory for several months develop an intuition for what a dealer’s secondary sales should look like. When a dealer gives a number that seems low — perhaps because it was a slow month, or because the dealer forgot to account for a large contractor billing — the RSM will sometimes adjust upward based on their own estimate. When a dealer gives a number that seems high, the RSM may accept it without question because it makes their own performance report look better. Both of these adjustments, made with the best of intentions, introduce a layer of estimation on top of an already estimated input. By the time the number reaches head office, it may have been adjusted two or three times by people who were each trying to produce a number that seemed reasonable rather than a number that was accurate.
Triangulating the Real Secondary Number
If self-reported secondary sales cannot be trusted as a primary data source, the question becomes: what can you trust? The answer is triangulation — using multiple independent data points that each carry different error profiles, and finding the zone where they converge.
Stock movement as a cross-check. The most reliable independent signal for secondary sales is inventory movement. If you know the opening stock at the start of the month, add the primary billing received during the month, and subtract the closing stock at the end of the month, the result is the actual physical outward movement — regardless of how it was billed, to whom, or whether the RSM’s reported secondary figure matches. This calculation requires accurate opening and closing stock counts, which in turn requires either a physical stock audit or a dealer with a reliable inventory management system. Neither is universally available, but for your top 20 dealer accounts, conducting a quarterly physical stock check alongside the RSM visit is the single most reliable method for validating secondary sales without relying on dealer self-reporting.
GST return cross-referencing. Since the implementation of GST, dealer outward sales are reported monthly in their GSTR-1 filing. For dealers who are GST-compliant and billing formally, the GSTR-1 outward sales figure is an independent, tax-authority-reported proxy for secondary sales — covering all billed sales regardless of whether they were reported to the RSM. Accessing this data directly requires the dealer’s cooperation or a formal data-sharing arrangement, but for key accounts where the secondary sales number significantly impacts scheme payouts or territory decisions, requesting GSTR-1 summary data as part of the quarterly review is a legitimate and increasingly accepted practice in the organised building materials trade.
Contractor pipeline reverse engineering. If a dealer has three active contractor accounts whose project sizes you know — a 200-unit residential complex consuming approximately 1,800 square feet per unit over a 90-day finishing window, for example — you can estimate the minimum secondary sales that should be flowing through that dealer from those accounts alone. A dealer reporting secondary sales significantly below what their known contractor pipeline implies is either under-reporting, losing business to a competitor, or carrying contractor accounts that are less active than represented. All three of these possibilities are worth understanding. The contractor pipeline method is particularly useful as a lower-bound check — it tells you the minimum that should be moving, which is often more useful than the dealer’s reported figure.
Delivery and logistics cross-check. For dealers who receive product by dedicated transport — company vehicles or contracted logistics — delivery records are an independent data point on inward stock movement. For dealers who have their own delivery infrastructure, checking vehicle dispatch logs gives a rough proxy for outward movement frequency and volume. Neither of these is a precise secondary sales measure, but as a sanity check against a reported figure that seems implausibly high or low, logistics data is available, independent, and resistant to the estimation errors that affect self-reported numbers.
What the Gap Tells You About Dealer Health
Once you have a triangulated secondary sales estimate that is more reliable than the self-reported figure, the gap between the two numbers is itself informative — and it tells you different things depending on which direction the gap runs.
When the triangulated estimate is consistently higher than what the dealer reports, the most common explanations are unbilled cash sales being excluded, or the dealer under-reporting to manage scheme expectations — keeping the reported secondary figure low so that a strong performance month does not create an elevated baseline for the following period. Both of these are worth understanding, and neither is cause for alarm on its own. But persistent under-reporting creates a systematic downward bias in your territory data that affects target-setting, scheme design, and allocation decisions across the entire network.
When the triangulated estimate is consistently lower than what the dealer reports, the explanations are more concerning. The dealer may be reporting sub-dealer pass-through as direct secondary sales. They may be including stock that has moved to their own storage facility rather than to an end customer. In extreme cases, they may be reporting sales that have not occurred in order to qualify for scheme payouts tied to secondary volume targets. This last scenario — secondary scheme fraud — is rare but real, and it is almost always invisible without the kind of triangulation framework described above.
The dealers where the reported and triangulated figures are consistently close together are the dealers with the best data hygiene — and often, the best businesses. A dealer who knows their actual secondary sales precisely enough that their self-reported figure matches your independent estimate is a dealer who is managing their business with the kind of data discipline that correlates with strong sell-through, healthy working capital, and reliable ordering behaviour. As we noted in the first-visit diagnostic framework, a dealer who cannot tell you what is selling cannot manage their business effectively — and the secondary sales reporting gap is often the quantitative expression of that same qualitative weakness.
Building a Practical Checklist for Sales Operations Teams
Translating this into a working process requires a checklist that field teams can apply consistently without it becoming an administrative burden. The following five-point framework works for a quarterly secondary sales validation cycle across your top dealer accounts.
One — Conduct a physical stock audit for your top 20 dealers once per quarter. This does not need to be a full warehouse count. A representative sample check — counting five to ten fast-moving SKUs against the dealer’s own stock records — is sufficient to validate whether the dealer’s inventory management is reliable enough to use as a secondary sales cross-check base.
Two — Request GSTR-1 outward supply summaries from your top 10 dealers as part of the quarterly scheme settlement process. Frame it as a compliance and transparency initiative rather than an audit. Most GST-compliant dealers will provide this without resistance if it is positioned as part of the scheme validation process rather than as a trust audit.
Three — Map the top three contractor accounts for each key dealer every quarter and build a minimum secondary sales estimate from the known project pipeline. Flag any dealer whose reported secondary is more than 20% below the contractor pipeline estimate for a follow-up conversation.
Four — Track the primary-to-secondary ratio by dealer over rolling six-month periods. A dealer whose primary billing grows while their secondary ratio stays flat or declines is accumulating inventory rather than selling it. This ratio — primary received divided by secondary reported — is one of the earliest warning signals for a dealer who is heading toward a working capital problem. In the current environment where advance payment is now required for Morbi dispatches, a deteriorating primary-to-secondary ratio creates financial stress faster than it ever did under the old credit model.
Five — Separate secondary scheme payouts into a verified and estimated component. For the portion of a dealer’s secondary sales that can be independently verified — through GST data, stock audit, or contractor pipeline cross-check — pay the scheme at the full rate. For the portion that is purely self-reported and unverified, either hold a portion in a reconciliation reserve or apply a modest discount factor. This creates a financial incentive for dealers to provide better secondary data rather than estimated figures, and it protects your scheme budget from being paid out against sales that may not have occurred.
The Broader Organisational Implication
Secondary sales accuracy is not just a data quality problem. It is a strategic decision quality problem. When territory investment decisions, dealer scheme structures, RSM performance evaluations, and stock allocation priorities are all built on secondary sales figures that may be 20 to 40% inaccurate in either direction, the downstream decisions inherit that inaccuracy at every level.
The building materials companies that are investing in secondary sales data infrastructure — point-of-sale systems for key dealers, GST-integrated reporting, digital order management — are doing so because they understand that the quality of their distribution decisions is bounded by the quality of the data those decisions are based on. The gap between reported and actual secondary sales is not a field sales problem. It is a business intelligence problem that lives in the sales operations function and can only be solved there.
The checklist above will not close that gap entirely. But applied consistently across your top dealer accounts, it will narrow it enough that the decisions being made on the basis of secondary data become materially more reliable — which, in a market as competitive as the one the tile and building materials industry is navigating right now, is a genuine and durable operational advantage.
